Prof. Dr.-Ing. habil. Andreas Maier
https://medium.com/@akmaier
https://orcid.org/0000-0002-9550-5284
Prof. Dr. Andreas Maier was born on 26th of November 1980 in Erlangen. He studied Computer Science, graduated in 2005, and received his PhD in 2009. From 2005 to 2009 he was working at the Pattern Recognition Lab at the Computer Science Department of the University of Erlangen-Nuremberg. His major research subject was medical signal processing in speech data. In this period, he developed the first online speech intelligibility assessment tool – PEAKS – that has been used to analyze over 4.000 patient and control subjects so far.
From 2009 to 2010, he started working on flat-panel C-arm CT as post-doctoral fellow at the Radiological Sciences Laboratory in the Department of Radiology at the Stanford University. From 2011 to 2012 he joined Siemens Healthcare as innovation project manager and was responsible for reconstruction topics in the Angiography and X-ray business unit.
In 2012, he returned the University of Erlangen-Nuremberg as head of the Medical Reconstruction Group at the Pattern Recognition lab. In 2015 he became professor and head of the Pattern Recognition Lab. Since 2016, he is member of the steering committee of the European Time Machine Consortium. In 2018, he was awarded an ERC Synergy Grant “4D nanoscope”. Current research interests focuses on medical imaging, image and audio processing, digital humanities, and interpretable machine learning and the use of known operators.
2020
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Entwicklung eines Leitfadens zur dreidimensionalen zerstörungsfreien Erfassung von Manuskripten
(Third Party Funds Single)
Term: since May 1, 2020
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
URL: https://gepris.dfg.de/gepris/projekt/433501541?context=projekt&task=showDetail&id=433501541& -
Förderantrag zur Entwicklung des Kurses „Deep Learning for beginners“
(Third Party Funds Single)
Term: September 1, 2020 - August 31, 2021
Funding source: Virtuelle Hochschule Bayern -
Intelligent MR Diagnosis of the Liver by Linking Model and Data-driven Processes (iDELIVER)
(Third Party Funds Single)
Term: August 3, 2020 - March 31, 2023
Funding source: Bundesministerium für Bildung und Forschung (BMBF)The project examines the use and further development of machine learning methods for MR image reconstruction and for the classification of liver lesions. Based on a comparison model and data-driven image reconstruction methods, these are to be systematically linked in order to enable high acceleration without sacrificing diagnostic value. In addition to the design of suitable networks, research should also be carried out to determine whether metadata (e.g. age of the patient) can be incorporated into the reconstruction. Furthermore, suitable classification algorithms on an image basis are to be developed and the potential of direct classification on the raw data is to be explored. In the long term, intelligent MR diagnostics can significantly increase the efficiency of use of MR hardware, guarantee better patient care and set new impulses in medical technology.
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Molecular Assessment of Signatures ChAracterizing the Remission of Arthritis
(Third Party Funds Single)
Term: April 1, 2020 - September 30, 2021
Funding source: Bundesministerium für Bildung und Forschung (BMBF)MASCARA zielt auf eine detaillierte, molekulare Charakterisierung der Remission bei Arthritis ab. Das Projekt basiert auf der kombinierten klinischen und technischen Erfahrung von Rheumatologen, Radiologen, Medizinphysikern, Nuklearmedizinern, Gastroenterologen, grundlagenwissenschaftlichen Biologen und Informatikern und verbindet fünf akademische Fachzentren in Deutschland. Das Projekt adressiert 1) den Umstand der zunehmenden Zahl von Arthritis Patienten in Remission, 2) die Herausforderungen, eine effektive Unterdrückung der Entzündung von einer Heilung zu unterscheiden und 3) das begrenzte Wissen über die Gewebeveränderungen in den Gelenken von Patienten mit Arthritis. MASCARA wird auf der Grundlage vorläufiger Daten vier wichtige mechanistische Bereiche (immunstoffwechselbedingte Veränderungen, mesenchymale Gewebereaktionen, residente Immunzellen und Schutzfunktion des Darms) untersuchen, die gemeinsam den molekularen Zustand der Remission bestimmen. Das Projekt zielt auf die Sammlung von Synovialbiopsien und die anschließende Gewebeanalyse bei Patienten mit aktiver Arthritis und Patienten in Remission ab. Die Gewebeanalysen umfassen (Einzelzell)-mRNA-Sequenzierung, Massenzytometrie sowie die Messung von Immunmetaboliten und werden durch molekulare Bildgebungsverfahren wie CEST-MRT und FAPI-PET ergänzt. Sämtliche Daten, die in dem Vorhaben generiert werden, werden in einem bereits bestehenden Datenbanksystem mit den Daten der anderen Partner zusammengeführt und gespeichert. Das Zusammenführen der Daten soll – mit Hilfe von maschinellem Lernen – krankheitsspezifische und mit der Krankheitsaktivität verbundene Mustermatrizen identifizieren.
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Verbesserte Dual Energy Bildgebung mittels Maschinellem Lernen
(Third Party Funds Single)
Term: April 1, 2020 - December 31, 2020
Funding source: Europäische Union (EU)The project aims to develop novel and innovative methods to improve visualisation and use of dual energy CT (DECT) images. Compared to conventional single energy CT (SECT) scans, DECT contains a significant amount of additional quantitative information that enables tissue characterization far beyond what is possible with SECT, including material decomposition for quantification and labelling of specific materials within tissues, creation of reconstructions at different predicted energy levels, and quantitative spectral tissue characterization for tissue analysis. However, despite the many potential advantages of DECT, applications remain limited and in specizlized clinical settings. Some reasons are that many applications are specific for the organ under investigation, require additional, manual processing or calibration, and not easily manipulated using standard interactive contrast visualisation windows available in clinical viewing stations. This is a significant disadvantage compared to conventional SECT.
In this project, we propose to develop new strategies to fuse and display the additional DECT information on a single contrast scale such that it can be visualised with the same interactive tools that radiologists are used to in their clinical routine. We will investigate non-linear manifold learning techniques like Laplacian Eigenmaps and the Sammon Mapping. Both allow extension using AI-based techniques like the newly developed user loss that allows to integrate user's opinions using forced choice experiments. This will allow a novel image contrast that will be compatible with interactive window and level functions that are rourintely used by radiologists. Furthermore, we aim at additional developments that will use deep neural networks to approximate the non-linear mapping function and to generate reconstructions that capture and display tissue specific spectral characteristics in a readily and universally useable manner for enhancing diagnostic value.
2019
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Improving multi-modal quantitative SPECT with Deep Learning approaches to optimize image reconstruction and extraction of medical information
(Non-FAU Project)
Term: April 1, 2019 - April 30, 2022This project aims to improve multi-modal quantitative SPECT with Deep Learning approaches to optimize image reconstruction and extraction of medical information. Such improvements include noise reduction and artifact removal from data acquired in SPECT.
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ICONOGRAPHICS: Computational Understanding of Iconography and Narration in Visual Cultural Heritage
(FAU Funds)
Term: April 1, 2019 - March 31, 2021The interdisciplinary research project Iconographics is dedicated to innovative possibilities of digital image recognition for the arts and humanities. While computer vision is already often able to identify individual objects or specific artistic styles in images, the project is confronted with the open problem of also opening up the more complex image structures and contexts digitally. On the basis of a close interdisciplinary collaboration between Classical Archaeology, Christian Archaeology, Art History and the Computer Sciences, as well as joint theoretical and methodological reflection, a large number of multi-layered visual works will be analyzed, compared and contextualized. The aim is to make the complex compositional, narrative and semantic structures of these images tangible for computer vision.
Iconography and Narratology are identified as a challenging research questions for all subjects of the project. The iconography will be interpreted in its plot, temporality, and narrative logic. Due to its complex cultural structure; we selected four important scenes:
- The Annunciation of the Lord
- The Adoration of the Magi
- The Baptism of Christ
- Noli me tangere (Do not touch me)
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Advancing osteoporosis medicine by observing bone microstructure and remodelling using a four-dimensional nanoscope
(Third Party Funds Single)
Term: April 1, 2019 - March 31, 2025
Funding source: European Research Council (ERC)
URL: https://cordis.europa.eu/project/id/810316Due to Europe's ageing society, there has been a dramatic increase in the occurrence of osteoporosis (OP) and related diseases. Sufferers have an impaired quality of life, and there is a considerable cost to society associated with the consequent loss of productivity and injuries. The current understanding of this disease needs to be revolutionized, but study has been hampered by a lack of means to properly characterize bone structure, remodeling dynamics and vascular activity. This project, 4D nanoSCOPE, will develop tools and techniques to permit time-resolved imaging and characterization of bone in three spatial dimensions (both in vitro and in vivo), thereby permitting monitoring of bone remodeling and revolutionizing the understanding of bone morphology and its function.
To advance the field, in vivo high-resolution studies of living bone are essential, but existing techniques are not capable of this. By combining state-of-the art image processing software with innovative 'precision learning' software methods to compensate for artefacts (due e.g. to the subject breathing or twitching), and innovative X-ray microscope hardware which together will greatly speed up image acquisition (aim is a factor of 100), the project will enable in vivo X-ray microscopy studies of small animals (mice) for the first time. The time series of three-dimensional X-ray images will be complemented by correlative microscopy and spectroscopy techniques (with new software) to thoroughly characterize (serial) bone sections ex vivo.
The resulting three-dimensional datasets combining structure, chemical composition, transport velocities and local strength will be used by the PIs and international collaborators to study the dynamics of bone microstructure. This will be the first time that this has been possible in living creatures, enabling an assessment of the effects on bone of age, hormones, inflammation and treatment.
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Advancing osteoporosis medicine by observing bone microstructure and remodelling using a fourdimensional nanoscope
(Third Party Funds Group – Sub project)
Overall project: Advancing osteoporosis medicine by observing bone microstructure and remodelling using a fourdimensional nanoscope
Term: April 1, 2019 - March 31, 2025
Funding source: EU - 8. Rahmenprogramm - Horizon 2020 -
Artificial Intelligence for Reinventing European Healthcare
(Third Party Funds Group – Sub project)
Overall project: Artificial Intelligence for Reinventing European Healthcare
Term: January 1, 2019 - December 31, 2019
Funding source: EU - 8. Rahmenprogramm - Horizon 2020 -
Big Data of the Past for the Future of Europe
(Third Party Funds Group – Sub project)
Overall project: TIME MACHINE : BIG DATA OF THE PAST FOR THE FUTURE OF EUROPE
Term: March 1, 2019 - February 29, 2020
Funding source: EU - 8. Rahmenprogramm - Horizon 2020 -
Deep-Learning basierte Segmentierung und Landmarkendetektion auf Röntgenbildern für unfallchirurgische Eingriffe
(Third Party Funds Single)
Term: since May 6, 2019
Funding source: Siemens AG -
Kombinierte Iterative Rekonstruktion und Bewegungskompensation für die Optische Kohärenz Tomographie-Angiographie
(Third Party Funds Single)
Term: June 1, 2019 - May 31, 2021
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH) -
Kommunikation und Sprache im Reich. Die Nürnberger Briefbücher im 15. Jahrhundert: Automatische Handschriftenerkennung - historische und sprachwissenschaftliche Analyse.
(Third Party Funds Single)
Term: October 1, 2019 - September 30, 2022
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH) -
PPP Brasilien 2019
(Third Party Funds Single)
Term: January 1, 2019 - December 31, 2020
Funding source: Deutscher Akademischer Austauschdienst (DAAD) -
Deep Learning based Noise Reduction for Hearing Aids
(Third Party Funds Single)
Term: February 1, 2019 - January 31, 2022
Funding source: IndustrieReduction of unwanted environmental noises is an important feature of today’s hearing aids, which is why noise reduction is nowadays included in almost every commercially available device. The majority of these algorithms, however, is restricted to the reduction of stationary noises. Due to the large number of different background noises in daily situations, it is hard to heuristically cover the complete solution space of noise reduction schemes. Deep learning-based algorithms pose a possible solution to this dilemma, however, they sometimes lack robustness and applicability in the strict context of hearing aids.
In this project we investigate several deep learning.based methods for noise reduction under the constraints of modern hearing aids. This involves a low latency processing as well as the employing a hearing instrument-grade filter bank. Another important aim is the robustness of the developed methods. Therefore, the methods will be applied to real-world noise signals recorded with hearing instruments. -
Tapping the potential of Earth Observations
(FAU Funds)
Term: April 1, 2019 - March 31, 2021 -
Tapping the potential of Earth Observations
(FAU Funds)
Term: April 1, 2019 - March 31, 2022Ziel des Projekts ist es, die Zeitreihen von
Erdbeobachtungs(EO)-Daten mit innovativen Methoden des „Deep Learnings“
zu analysieren, um effiziente Algorithmen zur Bewältigung der großen
Datenmengen zu entwickeln. Der Wert dieser EO-Produkte wird durch
fortgeschrittene Interpolationstechniken und Assimilation in
geophysikalische Modelle, die es in der angewandten Mathematik gibt,
weiter erhöht.
2018
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Automatic Intraoperative Tracking for Workflow and Dose Monitoring in X-Ray-based Minimally Invasive Surgeries
(Third Party Funds Single)
Term: June 1, 2018 - May 31, 2021
Funding source: Bundesministerium für Bildung und Forschung (BMBF)The goal of this project is the investigation of multimodal methods for the evaluation of interventional workflows in the operation room. This topic will be researched in an international project context with partners in Germany and in Brazil (UNISINOS in Porto Alegre). Methods will be developed to analyze the processes in an OR based on signals from body-worn sensors, cameras and other modalities like X-ray images recorded during the surgeries. For data analysis, techniques from the field of computer vision, machine learning and pattern recognition will be applied. The system will be integrated in a way that body-worn sensors developed by Portabiles as well as angiography systems produced by Siemens Healthcare can be included alongside.
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Automatisiertes Intraoperatives Tracking zur Ablauf- und Dosisüberwachung in RöntgengestütztenMinimalinvasiven Eingriffen
(Third Party Funds Group – Sub project)
Overall project: Automatisiertes Intraoperatives Tracking zur Ablauf- und Dosisüberwachung in RöntgengestütztenMinimalinvasiven Eingriffen
Term: June 1, 2018 - May 31, 2021
Funding source: Bundesministerium für Bildung und Forschung (BMBF) -
Deep Learning Applied to Animal Linguistics
(FAU Funds)
Term: April 1, 2018 - April 1, 2022Deep Learning Applied to Animal Linguistics in particular the analysis of underwater audio recordings of marine animals (killer whales):For marine biologists, the interpretation and understanding of underwater audio recordings is essential. Based on such recordings, possible conclusions about behaviour, communication and social interactions of marine animals can be made. Despite a large number of biological studies on the subject of orca vocalizations, it is still difficult to recognize a structure or semantic/syntactic significance of orca signals in order to be able to derive any language and/or behavioral patterns. Due to a lack of techniques and computational tools, hundreds of hours of underwater recordings are still manually verified by marine biologists in order to detect potential orca vocalizations. In a post process these identified orca signals are analyzed and categorized. One of the main goals is to provide a robust and automatic method which is able to automatically detect orca calls within underwater audio recordings. A robust detection of orca signals is the baseline for any further and deeper analysis. Call type identification and classification based on pre-segmented signals can be used in order to derive semantic and syntactic patterns. In connection with the associated situational video recordings and behaviour descriptions (provided by several researchers on site) can provide potential information about communication (kind of a language model) and behaviors (e.g. hunting, socializing). Furthermore, orca signal detection can be used in conjunction with a localization software in order to provide researchers on the field with a more efficient way of searching the animals as well as individual recognition.
For more information about the DeepAL project please contact christian.bergler@fau.de.
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Analysis of Defects on Solar Power Cells
(Third Party Funds Group – Sub project)
Overall project: iPV 4.0: Intelligente vernetzte Produktion mittels Prozessrückkopplung entlang des Produktlebenszyklus von Solarmodulen
Term: August 1, 2018 - July 31, 2021
Funding source: Bundesministerium für Wirtschaft und Technologie (BMWi)Over the last decade, a large number of solar power plants have been installed in Germany. To ensure a high performance, it is necessary to detect defects early. Therefore, it is required to control the quality of the solar cells during the production process, as well as to monitor the installed modules. Since manual inspections are expensive, a large degree of automation is required.
This project aims to develop a new approach to automatically detect and classify defects on solar power cells and to estimate their impact on the performance. Further, big data methods will be applied to identify circumstances that increase the probability of a cell to become defect. As a result, it will be possible to reject cells in the production that have a high likelihood to become defect. -
Digitalization in clinical settings using graph databases
(Non-FAU Project)
Term: since October 1, 2018
Funding source: Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie (StMWi) (seit 2018)In clinical settings, different data is stored in different systems. These data are very heterogeneous, but still highly interconnected. Graph databases are a good fit for this kind of data: they contain heterogeneous "data nodes" which can be connected to each other. The basic question is now if and how clinical data can be used in a graph database, most importantly how clinical staff can profit from this approach. Possible scenarios are a graphical user interface for clinical staff for easier access to required information or an interface for evaluation and analysis to answer more complex questions. (e.g., "Were there similar patients to this patient? How were they treated?")
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Entwicklung eines Modellrepositoriums und einer Automatischen Schriftarterkennung für OCR-D
(Third Party Funds Single)
Term: July 1, 2018 - December 31, 2019
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH) -
Critical Catalogue of Luther Portraits (1519-1530)
(Third Party Funds Group – Overall project)
Term: June 1, 2018 - May 31, 2021
Funding source: andere Förderorganisation
URL: https://www.gnm.de/forschung/projekte/luther-bildnisse/Quite a number of portraits of Martin Luther - known as media star of 16th century – can be found in today’s museums and libraries. However, how many portraits indeed exist and which of those are contemporary or actually date from a later period? So far unlike his works, however, the variety of contemporary portraits (painting and print) is neither completely collected nor critically analyzed. Thus, a joint project of the FAU, the Germanisches Nationalmuseum (GNM) in Nuremberg and the Technology Arts Sciences (TH Köln) was initiated. Goal of the interdisciplinary project covering art history, art technology, reformation history and computer science is the creation of a critical catalogue of Luther portraits (1519-1530). In particular, the issues of authenticity, dating of artworks and its historical usage context as well as the potential existence of serial production processes will be investigated.
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Laboranalyse von Degradationsmechanismen unter beschleunigter Alterung und Entwicklung geeigneter feldtauglicher bildgebender Detektionsverfahren und Entwicklung und Evaluation eines Algorithmus zur Fehlerdetektion und Prognostizierung der Ausfallwahrscheinlichkeit
(Third Party Funds Group – Overall project)
Term: August 1, 2018 - July 31, 2021
Funding source: Bundesministerium für Wirtschaft und Technologie (BMWi) -
Medical Image Processing for Interventional Applications
(Third Party Funds Single)
Term: January 1, 2018 - December 31, 2018
Funding source: Virtuelle Hochschule Bayern -
Moderner Zugang zu historischen Quellen
(Third Party Funds Group – Sub project)
Overall project: Moderner Zugang zu historischen Quellen
Term: March 1, 2018 - February 28, 2021
Funding source: andere Förderorganisation -
Radiologische und Genomische Datenanalyse zur Verbesserung der Brustkrebstherapie
(Third Party Funds Single)
Term: January 1, 2018 - December 31, 2019
Funding source: Bundesministerium für Bildung und Forschung (BMBF) -
Similarity learning for art analysis
(Third Party Funds Group – Sub project)
Overall project: Critical Catalogue of Luther Portraits (1519-1530)
Term: June 1, 2018 - February 28, 2021
Funding source: andere Förderorganisation
URL: https://www.gnm.de/forschung/forschungsprojekte/luther-bildnisse/The analysis of the similarity of portraits is an important issue for many sciences such as art history or digital humanities, as for instance it might give hints concerning serial production processes, authenticity or temporal and contextual classification of the artworks.
In the project, first algorithms will be developed for cross-genre and multi-modal registration of portraits to overlay digitized paintings and prints as well as paintings acquired with different imaging systems such as visual light photography and infrared reflectography. Then, methods will be developed to objectively analyze the portraits according to their similarity.
This project is part of a joint project of the FAU, the Germanisches Nationalmuseum (GNM) in Nuremberg and the Technology Arts Sciences (TH Köln) in Cologne. Goal of the interdisciplinary project covering art history, art technology, reformation history and computer science is the creation of a critical catalogue of Luther portraits (1519-1530).
2017
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3-D Multi-Contrast CINE Cardiac Magnetic Resonance Imaging
(Non-FAU Project)
Term: October 1, 2017 - September 30, 2020 -
Deep Learning for Multi-modal Cardiac MR Image Analysis and Quantification
(Third Party Funds Single)
Term: January 1, 2017 - May 1, 2020
Funding source: Deutscher Akademischer Austauschdienst (DAAD)Cardiovascular diseases (CVDs) and other cardiac pathologies are the leading cause of death in Europe and the USA. Timely diagnosis and post-treatment follow-ups are imperative for improving survival rates and delivering high-quality patient care. These steps rely heavily on numerous cardiac imaging modalities, which include CT (computerized tomography), coronary angiography and cardiac MRI. Cardiac MRI is a non-invasive imaging modality used to detect and monitor cardiovascular diseases. Consequently, quantitative assessment and analysis of cardiac images is vital for diagnosis and devising suitable treatments. The reliability of quantitative metrics that characterize cardiac functions such as, myocardial deformation and ventricular ejection fraction, depends heavily on the precision of the heart chamber segmentation and quantification. In this project, we aim to investigate deep learning methods to improve the diagnosis and prognosis for CVDs,
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Development of multi-modal, multi-scale imaging framework for the early diagnosis of breast cancer
(FAU Funds)
Term: March 1, 2017 - June 30, 2020Breast cancer is the leading cause of cancer related deaths in women, the second most common cancer worldwide. The development and progression of breast cancer is a dynamic biological and evolutionary process. It involves a composite organ system, with transcriptome shaped by gene aberrations, epigenetic changes, the cellular biological context, and environmental influences. Breast cancer growth and response to treatment has a number of characteristics that are specific to the individual patient, for example the response of the immune system and the interaction with the neighboring tissue. The overall complexity of breast cancer is the main cause for the current, unsatisfying understanding of its development and the patient’s therapy response. Although recent precision medicine approaches, including genomic characterization and immunotherapies, have shown clear improvements with regard to prognosis, the right treatment of this disease remains a serious challenge. The vision of the BIG-THERA team is to improve individualized breast cancer diagnostics and therapy, with the ultimate goal of extending the life expectancy of breast cancer sufferers. Our primary contribution in this regard is developing a multi-modal, multi-scale framework for the early diagnosis of the molecular sub-types of breast cancer, in a manner that supplements the clinical diagnostic workflow and enables the early identification of patients compatible with specific immunotherapeutic solutions.
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Digital Pathology - New Approaches to the Automated Image Analysis of Histologic Slides
(Own Funds)
Term: since January 16, 2017The pathologist is still the gold standard in the diagnosis of diseases in tissue slides. Due to its human nature, the pathologist is on one side able to flexibly adapt to the high morphological and technical variability of histologic slides but of limited objectivity due to cognitive and visual traps.
In diverse project we are applying and validating currently available tools and solutions in digital pathology but are also developing new solution in automated image analysis to complement and improve the pathologist especially in areas of quantitative image analysis.
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Integrative 'Big Data Modeling' for the development of novel therapeutic approaches for breast cancer
(FAU Funds)
Term: January 1, 2017 - December 31, 2019Brustkrebs ist die häufigste Ursache für den Krebstod bei Frauen, die zweithäufigste Krebsart weltweit und die fünfthäufigste Ursache für krebsbedingte Todesfälle. Die Entwicklung und der Fortschritt von Brustkrebs ist ein dynamischer biologischer und evolutionärer Prozess. Es handelt sich um ein komplexes Organsystem, dessen Transkriptom durch Genaberrationen, epigenetische Veränderungen, dem zellulären biologischen Kontext und Umwelteinflüsse geprägt ist. Das Wachstum von Brustkrebs und die Reaktion auf die Behandlung hat eine Reihe von Eigenschaften, die für den einzelnen Patienten spezifisch sind, zum Beispiel die Reaktion des Immunsystems und die Interaktion mit dem benachbarten Gewebe. Die Gesamtkomplexität des Brustkrebses ist die Hauptursache für das aktuelle, unbefriedigende Verständnis seiner Entwicklung und des Therapieansprechens des Patienten. Obwohl die jüngsten präzisionsmedizinischen Ansätze, einschließlich genomischer Charakterisierung und Immuntherapien, deutliche Verbesserungen in der Prognose gezeigt haben, bleibt die richtige Behandlung dieser Krankheit eine große Herausforderung. Die Vision des BIG-THERA-Teams ist es, die individuelle Diagnose und Therapie von Brustkrebs zu verbessern, mit dem Ziel, die Lebenserwartung dieser Patienten zu verlängern.
Folgende Ziele hat sich das BIG-THERA-Team gesetzt:
- die Verfahren zur nicht-invasiven Früherkennung und Therapieverfolgung auf der Grundlage der Magnetresonanztomographie (MRT) zu verbessern
- das Zusammenspiel zwischen dem Immunsystem und dem Krebswachstum zur Trennung immunologisch unterschiedlicher Brustkrebs-Subtypen für das Immuntherapie-Design aufzuklären
- neue Strategien für die Immunphänotypisierung von Tumoren mit nanomedizinischen Techniken zu entwickeln
- ethische Herausforderungen im Zusammenhang mit den neuen Fortschritten in der Brustkrebsforschung zu lösen
- therapeutische Entscheidungen unter Verwendung von Big-Data Datensätzen und Informationen aus in vitro, in vivo und in silico OMICs Studien, Bildgebung und Modellierung basieren, zu optimieren.
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Verbesserte Charakterisierung des Versagensverhaltens von Blechwerkstoffen durch den Einsatz von Mustererkennungsmethoden
(Third Party Funds Single)
Term: April 1, 2017 - March 31, 2019
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
2016
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Intraoperative brain shift compensation and point-based vascular registration
(Non-FAU Project)
Term: May 1, 2016 - October 31, 2019 -
CODE
(Third Party Funds Single)
Term: December 1, 2016 - November 30, 2017
Funding source: Industrie -
Computer-based motive assessment
(Own Funds)
Term: since January 1, 2016The standard method of measuring motives -- coding imaginative stories for motivational themes -- places a heavy burden on researchers in terms of the time and the personnel invested in this task. We collaborate with colleagues from lingusitics and computer science on the development of computer-based, automated procedures for assessing implicit motivational needs in written text. To this purpose, we use standard psycholinguistic procedures such as the Lingusitic Inquiry and Word Count software as well as sophisticated pattern recognition approaches.
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Digital, Semantic and Physical Analysis of Media Integrity
(Third Party Funds Single)
Term: May 24, 2016 - May 23, 2017
Funding source: Industrie -
Iterative Rekonstruktionsmethoden mit Fokus auf abdominelle MR-Bildgebung
(Third Party Funds Single)
Term: December 1, 2016 - April 30, 2017
Funding source: Siemens AG -
Medical Image Processing for Diagnostic Applications
(Third Party Funds Single)
Term: June 1, 2016 - May 31, 2017
Funding source: Virtuelle Hochschule Bayern -
Modelbasierte Röntgenbildgebung
(Third Party Funds Single)
Term: February 1, 2016 - January 31, 2019
Funding source: Siemens AG -
Nichtrigide Registrierung von 3D DSA mit präoperativen Volumendaten, um intraoperativen Brainshift bei offender Schädel-OP zu korrigieren
(Third Party Funds Single)
Term: June 1, 2016 - May 31, 2019
Funding source: Siemens AG -
Nutzung von Rohdaten-Redundanzen in der Kegelstrahl-CT
(Third Party Funds Single)
Term: May 1, 2016 - April 30, 2019
Funding source: Siemens AG -
Predicitve Prevention and personalized Interventional Stroke Therapy
(Third Party Funds Group – Sub project)
Overall project: Predicitve Prevention and personalized Interventional Stroke Therapy
Term: January 1, 2016 - December 31, 2018
Funding source: EU - 8. Rahmenprogramm - Horizon 2020 -
Quantifizierung der Fett-Säuren-Zusammensetzung in der Leber sowie Optimierung der zugehörigen Akquisitions- und Rekonstruktionstechniken
(Third Party Funds Single)
Term: June 15, 2016 - June 14, 2019
Funding source: Siemens AG -
Quantitative diagnostic dual energy CT with atlas-based prior knowledge
(Third Party Funds Single)
Term: January 1, 2016 - May 31, 2019
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)During the last decade, dual energy CT (DECT) became widely available in clinical routine. Offered by all major CT manufacturers, with differing hard- and software concepts, the DECT applications are alike: the acquired DECT data are used to conduct two- or multi material decompositions, e.g. to separate iodine and bone from soft tissue or to quantify contrast agent and fat, to classify or characterize tissue, or to increase contrasts (CNR maximization), or to suppress contrasts (artifact reduction). The applications are designed to work with certain organs and the user needs to take care to invoke the correct application and to interpret its output only in the appropriate organ or anatomical region. E.g. interpreting the output of a kidney stone applications in organs other than the kidney will yield a wrong classification. To obtain quantitative results the applications require to set patient-specific parameters. In order to calibrate those the user is asked to place ROIs in predefined anatomical regions. Since this is time-consuming users are often tempted to use the default settings instead of optimizing them. Here, we want to develop a DECT atlas to utilize its anatomical (and functional) information for con-text-sensitive DECT imaging and material decomposition, and to be able to automatically calibrate the open parameters without the need of user interaction. To improve quantification the initial images shall not be reconstructed separately but rather undergo a rawdata-based decomposition before being converted into image domain. A dedicated user interface shall be developed to provide the new context-sensitive DECT information - such as automatically decomposing each organ into different but reasonable basis materials, for example - and to display it to the reader in a convenient way. Similarly, user-placed ROIs shall trigger a context-sensitive statistical evaluation of the ROI's contents and provide it to the user. This will help to quantify the iodine uptake in a tumor or a lesion, to separate it from fat or calcium components, to estimate its blood supply etc. Since the DECT data display the contrast uptake just for a given instance in time and since this contrast depends on patient-specific factors such as the cardiac output, we are planning to normalize the contrast uptake with the help of the dual energy information contained in the atlas. This will minimize inter and intra patient effects and increase the reproducibility. In addition, organ-specific material scores shall be developed that quantify a patient's material composition on an organ by organ basis. The new methods (DECT atlas, material decomposition, ...) shall be tested and evaluated using phantom and patient studies, and shall be optimized accordingly.
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Studie zum Thema "Defektspalten/Defektreihen"
(Third Party Funds Single)
Term: August 1, 2016 - January 31, 2017
Funding source: Industrie -
Weiterentwicklung in der interferometrischen Röntgenbildgebung
(Third Party Funds Single)
Term: July 1, 2016 - June 30, 2019
Funding source: Siemens AG -
Workshop "Mobile eye imaging and remote diagnosis based on the captured image"
(Third Party Funds Single)
Term: October 10, 2016 - October 14, 2016
Funding source: Industrie -
Zusammenarbeit auf dem Gebiet der 3D-Modellierung von Koronararterien
(Third Party Funds Single)
Term: June 13, 2016 - December 31, 2017
Funding source: Siemens AG -
Zusammenarbeit auf dem Gebiet der Navigationsunterstützung in röhrenförmigen Strukturen
(Third Party Funds Single)
Term: June 1, 2016 - May 31, 2019
Funding source: Siemens AG
2015
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Auto ASPECTS
(Third Party Funds Single)
Term: December 1, 2015 - May 31, 2016
Funding source: Industrie -
Bildverbesserung der 4D DSA und Flußquantifizierung mittels 4D DSA
(Third Party Funds Single)
Term: June 15, 2015 - June 14, 2017
Funding source: Siemens AG -
Helical 3-D X-ray Dark-field Imaging
(Third Party Funds Single)
Term: April 1, 2015 - March 31, 2019
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)The dark-field signal of an X-ray phase-contrast system captures the small-angle scattering of microscopic structures. It is acquired using Talbot-Lau interferometer, and a conventional X-ray source and a conventional X-ray detector. Interestingly, the measured intensity of the dark-field signal depends on the orientation of the microstructure. Using algorithms from tomographic image reconstruction, it is possible to recover these structure orientations. The size of the imaged structures can be considerably smaller than the resolution of the used X-ray detector. Hence, it is possible to investigate structural properties of - for example - bones or soft tissue at an unprecedented level of detail.Existing methods for 3-D dark-field reconstruction require sampling in all three spatial dimensions. For practical use, this procedure is infeasible.The goal of the proposed project is to develop a system and a method for 3-D reconstruction of structure orientations based on measurements from a practical imaging trajectory. To this end, we propose to use a helical trajectory, a concept that has been applied in conventional CT imaging with tremendous success. As a result, it will be possible for the first time to compute dark-field volumes from a practically feasible, continuous imaging trajectory. The trajectory does not require multiple rotations of the object or the patient and avoids unnecessarily long path lengths.The project will be conducted in cooperation between the experimental physics and the computer science department. The project is composed of six parts:- A: Development of a 3-D cone-beam scattering projection model- B: Development of reconstruction algorithms for a helical dark-field imaging system- C: Evaluation and optimization of the reconstruction methods towards clinical applications- D: Design of an experimental helical imaging system- E: Setup of the helical imaging system- F: Evaluation and optimization of the system performanceParts A to C will be performed by the computer science department. Parts D to E will be conducted by the experimental physics department. -
Endovaskuläre Versorgung von Aortenaneurysmen
(Third Party Funds Single)
Term: December 1, 2015 - November 30, 2018
Funding source: Industrie -
Feature-basierte Bildregistrierung für interventionelle Anwendungen
(Third Party Funds Single)
Term: July 1, 2015 - June 30, 2018
Funding source: Siemens AG -
Forschungskostenzuschuss Dr. Huang, Xiaolin
(Third Party Funds Single)
Term: June 1, 2015 - May 31, 2017
Funding source: Alexander von Humboldt-Stiftung -
Kalibrierung von Time-of-Flight Kameras
(Third Party Funds Single)
Term: October 1, 2015 - March 31, 2017
Funding source: Stiftungen -
Consistency Conditions for Artifact Reduction in Cone-beam CT
(Third Party Funds Single)
Term: since January 1, 2015
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)Tomographic reconstruction is the enabling technology for a wide range of transmission-based 3D imaging modalities, most notably X-ray Computed Tomography (CT). The first CT scanners built in the 70ies used parallel geometries. In order to speed up acquisition, the systems soon moved to fan-beam geometries and a much faster rotation speed. Today´s CT systems rotate four times per second and use a cone-beam geometry. This is fast enough to cover even complex organ motion such as the beating heart. However, there exists a large class of specialized CT systems that are not able to perform such fast scans. Systems using a flat-panel detector, as they are employed in C-arm angiography systems, on-board imaging systems in radiation therapy, or mobile C-arm systems, face mechanical challenges as they were mainly built to perform 2D imaging. About 15 years ago flat-detector scanners have been enabled to acquire three dimensional data. 3D imaging on these systems, however, is challenging due to their slower acquisition speed between five seconds and one minute and a small field-of-view (FOV) with a diameter of 25 to 40 cm. These drawbacks are related to the scanners´ design as highly specialized modalities. In contrast to other disadvantages of flat panel detectors like increased X-ray scattering and limited dynamic range, they will not be remedied by hardware evolution in the foreseeable future, e.g. faster motion is impossible because of the risk of collisions in the operation room. As a result, Flat-Detector Computed Tomography (FDCT) will continue to be more susceptible to artifacts in the reconstructed image due to motion and truncation. The goal of this project is to extend existing data consistency conditions, which can be practically used for FDCT to remedy intrinsic weaknesses of FDCT imaging, most importantly motion and truncation. Our goal is the practical applicability on clinical data. Thus, the new algorithms will be tested on physical phantom and patient data acquired on real FDCT scanners of our project partners. Our long-term vision behind this project is to find a concise and complete formulation for all redundancies within FDCT projection data for general trajectories and fully exploit them in the reconstruction process. Redundancies are inherent to every FDCT scan done in today´s clinical practice, but they are ignored entirely as a source of information. Data consistency conditions do not require any additional effort during the acquisitions and only little prior knowledge such as the object extent or even no assumptions about the underlying object, unlike for example total variation regularization in iterative reconstruction. Hence, they rely solely on information which is naturally present in the data. -
Kontrast- und katheterbasierte 3D-/2D-Registrierung
(Third Party Funds Single)
Term: January 1, 2015 - September 30, 2015
Funding source: Siemens AG -
Segmentierung von MR-Daten in der Herzbildgebung zur Verwendung bei Interventionen an Angiographiegeräten
(Third Party Funds Single)
Term: October 1, 2015 - September 30, 2018
Funding source: Siemens AG -
Verbesserung Freiraumerkennung/fusion im Grid: Odometrie aus Umgebungssensoren
(Third Party Funds Single)
Term: June 12, 2015 - May 31, 2016
Funding source: Industrie
2014
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4D Herzbildgebung
(Third Party Funds Single)
Term: February 1, 2014 - January 31, 2018
Funding source: Siemens AG -
Automatic classification and image analysis of confocal laser endomicroscopy images
(Own Funds)
Term: since October 1, 2014The goal of this project is to detect cancerous tissue in confocal lasermicroendoscopy (CLE) images of the oral cavity and the vocal cord. The current treatment of these diseases is a histological analysis of specimen and a surgical resection, which has a rather high long-term survival rate, or radiation therapy with a lower survival rate. An early detection of cancerous tissue could lead to a lowered complication rate for further treatment, as well as a better overall prognosis for patients. Further, an in-vivo diagnosis during operation could narrow down the area for the necessary surgical excision, which is especially beneficial for cancer of the vocal cords.
For this reason, we are applying methods of pattern recognition to facilitate and support diagnosis. We were able to show that these can be applied with high accuracies on CLE images.
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Magnetresonanz am Herzen
(Third Party Funds Single)
Term: March 1, 2014 - June 30, 2017
Funding source: Siemens AG
2013
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Bewegungskompensation für Überlagerungen in der interventionellen C-Bogen Bildgebung
(Third Party Funds Single)
Term: June 1, 2013 - November 30, 2016
Funding source: Siemens AG
2012
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RTG 1773: Heterogeneous Image Systems, Project C1
(Third Party Funds Group – Sub project)
Overall project: GRK 1773: Heterogene Bildsysteme
Term: October 1, 2012 - March 31, 2017
Funding source: DFG / Graduiertenkolleg (GRK)Especially in aging populations, Osteoarthritis (OA) is one of the leading causes for disability and functional decline of the body. Yet, the causes and progression of OA, particularly in the early stages, remain poorly understood. Current OA imaging measures require long scan times and are logistically challenging. Furthermore they are often insensitive to early changes of the tissue.The overarching goal of this project is the development of a novel computed tomography imaging system allowing for an analysis of the knee cartilage and menisci under weight-bearing conditions. The articular cartilage deformation under different weight-bearing conditions reveals information about abnormal motion patterns, which can be an early indicator for arthritis. This can help to detect the medical condition at an early stage.
To allow for a scan in standing or squatting position, we opted for a C-arm CT device that can be almost arbitrarily positioned in space. The standard application area for C-arm CT is in the interventional suite, where it usually acquires images using a vertical trajectory around the patient. For the recording of the knees in this project, a horizontal trajectory has been developed.
Scanning in standing or squatting position makes an analysis of the knee joint under weight-bearing conditions possible. However, it will also lead to involuntary motion of the knees during the scan. The motion will result in artifacts in the reconstruction that reduce the diagnostic image quality. Therefore, the goal of this project is to estimate the patient motion during the scan to reduce these artifacts. One approach is to compute the motion field of the knee using surface cameras and use the result for motion correction. Another possible approach is the design and evaluation of a biomechanical model of the knee using inertial sensors to compensate for movement.
After the correction of the motion artifacts, the reconstructed volume is used for the segmentation and quantitative analysis of the knee joint tissue. This will give information about the risk or the progression of an arthrosis disease.
2010
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Automatische Analyse von Lautbildungsstörungen bei Kindern und Jugendlichen mit Lippen-Kiefer-Gaumenspalten (LKG)
(Third Party Funds Single)
Term: April 1, 2010 - March 31, 2013
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)Zur Bewertung von Sprechstörungen von Patienten mit Lippen-Kiefer-Gaumenspalten fehlen bisher objektive, validierte und einfache Verfahren. Im klinischen Alltag werden Lautbildungsstörungen bisher üblicherweise durch eine subjektive, auditive Bewertung erfasst. Diese ist für die klinische und v.a. wissenschaftliche Nutzung nur bedingt geeignet. Die automatische Sprachanalyse, wie sie für Spracherkennungssysteme genutzt wird, hat sich bereits bei Stimmstörungen als objektive Methode der globalen Bewertung erwiesen, nämlich zur Quantifizierung der Verständlichkeit. Dies ließ sich in Vorarbeiten auch auf Sprachaufnahmen von Kindern mit Lippen-Kiefer-Gaumenspalten übertragen. In dem vorliegenden Projekt wird ein Verfahren zur automatischen Unterscheidung und Quantifizierung verschiedener typischer Lautbildungsstörung wie Hypernasalität, Verlagerung der Artikulation und Veränderung der Artikulationsspannung bei Kindern und Jugendlichen mit Lippen-Kiefer-Gaumenspalten entwickelt und validiert. Dies stellt die Basis für die Ermittlung ihres Einflusses auf die Verständlichkeit sowie zur Erfassung der Ergebnisqualität verschiedener therapeutischer Konzepte dar.
2021
Journal Articles
A global benchmark of algorithms for segmenting the left atrium from late gadolinium-enhanced cardiac magnetic resonance imaging
In: Medical Image Analysis 67 (2021), Article No.: 101832
ISSN: 1361-8415
DOI: 10.1016/j.media.2020.101832
BibTeX: Download
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , :
Efficient and high accuracy 3-D OCT angiography motion correction in pathology
In: Biomedical Optics Express 12 (2021), p. 125-146
ISSN: 2156-7085
DOI: 10.1364/BOE.411117
BibTeX: Download
, , , , , , , , , :
Enhancing Collaborative Road Scene Reconstruction with Unsupervised Domain Alignment
In: Machine Vision and Applications (2021)
ISSN: 1432-1769
BibTeX: Download
, , , :
Maximum a posteriori signal recovery for optical coherence tomography angiography image generation and denoising
In: Biomedical Optics Express 12 (2021), p. 55-68
ISSN: 2156-7085
DOI: 10.1364/BOE.408903
URL: https://www.osapublishing.org/boe/fulltext.cfm?uri=boe-12-1-55&id=444277
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, , , , , , , , , :
OCT-OCTA segmentation: Combining structural and blood flow information to segment bruch's membrane
In: Biomedical Optics Express 12 (2021), p. 84-99
ISSN: 2156-7085
DOI: 10.1364/BOE.398222
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, , , , , , , , , :
Towards accelerated quantitative sodium MRI at 7 T in the skeletal muscle: Comparison of anisotropic acquisition- and compressed sensing techniques
In: Magnetic Resonance Imaging 75 (2021), p. 72-88
ISSN: 0730-725X
DOI: 10.1016/j.mri.2020.09.019
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, , , , , , , :
Conference Contributions
ScanRacer – Fast Track Annotation of Segmentation Masks in Volumetric Medical Images
HEALTHINF - 14th International Conference on Health Informatics (Online Streaming, February 11, 2021 - February 13, 2021)
BibTeX: Download
, , , , , , :
Velo-CT – A Collaborative 3D Racing Game as Incentive for Medical Image Annotation
HEALTHINF - 14th International Conference on Health Informatics (Online Streaming, February 11, 2021 - February 13, 2021)
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, , , , , , :
Unpublished Publications
Deep Learning-based Pipeline for Module Power Prediction from EL Measurements
(2021)
URL: https://arxiv.org/pdf/2009.14712v1.pdf
BibTeX: Download
, , , , , , , , , , :
Joint Super-Resolution and Rectification for Solar Cell Inspection
(2021)
URL: https://arxiv.org/pdf/2011.05003.pdf
BibTeX: Download
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2020
Journal Articles
Computerized Calculation of Mitotic Count Distribution in Canine Cutaneous Mast Cell Tumor Sections: Mitotic Count Is Area Dependent
In: Veterinary Pathology 57 (2020), p. 214-226
ISSN: 0300-9858
DOI: 10.1177/0300985819890686
URL: https://journals.sagepub.com/doi/10.1177/0300985819890686
BibTeX: Download
, , , , , , , , , , , , , , :
Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides
In: Scientific Reports 10 (2020), Article No.: 9795
ISSN: 2045-2322
DOI: 10.1038/s41598-020-65958-2
BibTeX: Download
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A completely annotated whole slide image dataset of canine breast cancer to aid human breast cancer research
In: Scientific Data 7 (2020), Article No.: 417
ISSN: 2052-4463
DOI: 10.1038/s41597-020-00756-z
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, , , , , :
Deep learning algorithms out-perform veterinary pathologists in detecting the mitotically most active tumor region
In: Scientific Reports 10 (2020), Article No.: 16447
ISSN: 2045-2322
DOI: 10.1038/s41598-020-73246-2
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, , , , , , , , , , , :
Automatic dementia screening and scoring by applying deep learning on clock-drawing tests
In: Scientific Reports 10 (2020), p. 1-11
ISSN: 2045-2322
DOI: 10.1038/s41598-020-74710-9
URL: https://www.nature.com/articles/s41598-020-74710-9
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, , , , , :
Learning an Attention Model for Robust 2-D/3-D Registration Using Point-To-Plane Correspondences
In: IEEE Transactions on Medical Imaging 39 (2020), p. 3159-3174
ISSN: 0278-0062
DOI: 10.1109/TMI.2020.2988410
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, , , , :
C-arm CT imaging with the extended line-ellipse-line trajectory: First implementation on a state-of-the-art robotic angiography system
In: Physics in Medicine and Biology 65 (2020), Article No.: 185016
ISSN: 0031-9155
DOI: 10.1088/1361-6560/ab9a82
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, , , , , , :
Mapping Ensembles of Trees to Sparse, Interpretable Multilayer Perceptron Networks
In: SN Computer Science 1 (2020), Article No.: 252
ISSN: 2661-8907
DOI: 10.1007/s42979-020-00268-y
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, , , , :
Fully Automated 3D Cardiac MRI Localisation and Segmentation Using Deep Neural Networks
In: Journal of Imaging 6 (2020), Article No.: 65
ISSN: 2313-433X
DOI: 10.3390/jimaging6070065
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, , :
Appearance Learning for Image-based Motion Estimation in Tomography
In: IEEE Transactions on Medical Imaging (2020)
ISSN: 0278-0062
DOI: 10.1109/TMI.2020.3002695
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Temporal and spatial detection of the onset of local necking and assessment of its growth behavior
In: Materials 13 (2020), Article No.: 2427
ISSN: 1996-1944
DOI: 10.3390/ma13112427
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, , , :
Known Operator Learning enables Constrained Projection Geometry Conversion: Parallel to Cone-beam for Hybrid MR/X-ray Imaging
In: IEEE Transactions on Medical Imaging (2020), p. 1-1
ISSN: 0278-0062
DOI: 10.1109/TMI.2020.2998179
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, , , , :
Application of Corneal Optical Coherence Tomography Angiography for Assessment of Vessel Depth in Corneal Neovascularization
In: Cornea 39 (2020), p. 598-604
ISSN: 0277-3740
DOI: 10.1097/ICO.0000000000002232
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, , , , , , , , , , :
Correction propagation for user-assisted optical coherence tomography segmentation: general framework and application to Bruch’s membrane segmentation
In: Biomedical Optics Express 11 (2020), p. 2830-2848
ISSN: 2156-7085
DOI: 10.1364/BOE.392759
URL: https://www.osapublishing.org/boe/abstract.cfm?uri=boe-11-5-2830
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, , , , , :
Baptizo: a sensor fusion based model for tracking the identity of human poses
In: Information Fusion (2020)
ISSN: 1566-2535
DOI: 10.1016/j.inffus.2020.03.011
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Evaluation of MRI to Ultrasound Registration Methods for Brain Shift Correction: The CuRIOUS2018 Challenge
In: IEEE transactions on medical imaging 39 (2020), p. 777-786
ISSN: 1558-254X
DOI: 10.1109/TMI.2019.2935060
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, , , , , , , , , , , , , , , :
Comparative Study of Deep Learning Models for Optical Coherence Tomography Angiography
In: Biomedical Optics Express 11 (2020), p. 1216-1632
ISSN: 2156-7085
DOI: 10.1364/BOE.387807
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, , , , , , , , , , , :
Automatic Multi-organ Segmentation in Dual Energy CT (DECT) with Dedicated 3D Fully Convolutional DECT Networks
In: Medical Physics 47 (2020), p. 552-562
ISSN: 0094-2405
DOI: 10.1002/mp.13950
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Noise reduction in optical coherence tomography images using a deep neural network with perceptually-sensitive loss function
In: Biomedical Optics Express 11 (2020), p. 817-830
ISSN: 2156-7085
DOI: 10.1364/BOE.379551
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T-2* Accelerated quantification of tissue sodium concentration in skeletal muscle tissue: quantitative capability of dictionary learning compressed sensing
In: Magnetic Resonance Materials in Physics Biology and Medicine (2020)
ISSN: 0968-5243
DOI: 10.1007/s10334-019-00819-2
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Implementation of machine learning into clinical breast MRI: Potential for objective and accurate decision-making in suspicious breast masses
In: PLoS ONE 1-15 (2020), p. 1-15
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0228446
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Truncation Correction for X-ray Phase-Contrast Region-of-Interest Tomography
In: IEEE Transactions on Computational Imaging (2020), p. 625 - 639
ISSN: 2333-9403
DOI: 10.1109/TCI.2020.2964217
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, , , :
Deep learning acceleration of Total Lagrangian Explicit Dynamics for soft tissue mechanics
In: Computer Methods in Applied Mechanics and Engineering 358 (2020), Article No.: 112628
ISSN: 0045-7825
DOI: 10.1016/j.cma.2019.112628
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, , , , , :
With Semantics and Hidden Markov Models to an Adaptive Log File Parser
In: International Journal on Natural Language Computing (2020)
ISSN: 2319-4111
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, :
Three-dimensional Monte Carlo-based voxel-wise tumor dosimetry in patients with neuroendocrine tumors who underwent 177Lu-DOTATOC therapy
In: Annals of Nuclear Medicine (2020)
ISSN: 0914-7187
DOI: 10.1007/s12149-020-01440-3
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Spatio-temporal Multi-task Learning for Cardiac MRI Left Ventricle Quantification
In: IEEE Journal of Biomedical and Health Informatics (2020)
ISSN: 2168-2194
DOI: 10.1109/JBHI.2020.3046449
URL: https://ieeexplore.ieee.org/document/9302580
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, , , :
Scanning trajectory optimisation using a quantitative Tuybased local quality estimation for robot-based X-ray computed tomography
In: Nondestructive Testing and Evaluation (2020)
ISSN: 1058-9759
DOI: 10.1080/10589759.2020.1774579
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Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning
In: Journal of Synchrotron Radiation (2020)
ISSN: 0909-0495
DOI: 10.1107/S160057752000017X
URL: https://onlinelibrary.wiley.com/iucr/doi/10.1107/S160057752000017X
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, , , :
Robust Multi-View 2-D/3-D Registration Using Point-To-Plane Correspondence Model
In: IEEE Transactions on Medical Imaging 39 (2020), p. 161-174
ISSN: 0278-0062
DOI: 10.1109/TMI.2019.2922931
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, , , , :
Analysis of continuous neuronal activity evoked by natural speech with computational corpus linguistics methods
In: Language, Cognition and Neuroscience (2020)
ISSN: 2327-3798
DOI: 10.1080/23273798.2020.1803375
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A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance
In: International Journal of Computer Assisted Radiology and Surgery 15 (2020), p. 1787-1796
ISSN: 1861-6410
DOI: 10.1007/s11548-020-02249-1
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A Framework for Multiscale Quantitation of Relationships Between Choriocapillaris Flow Impairment and Geographic Atrophy Growth
In: American Journal of Ophthalmology (2020)
ISSN: 0002-9394
DOI: 10.1016/j.ajo.2019.12.006
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Correction to: Accelerated quantification of tissue sodium concentration in skeletal muscle tissue: quantitative capability of dictionary learning compressed sensing (Magnetic Resonance Materials in Physics, Biology and Medicine, (2020), 10.1007/s10334-019-00819-2)
In: Magnetic Resonance Materials in Physics Biology and Medicine (2020)
ISSN: 0968-5243
DOI: 10.1007/s10334-020-00835-7
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XDose: toward online cross-validation of experimental and computational X-ray dose estimation
In: International Journal of Computer Assisted Radiology and Surgery (2020)
ISSN: 1861-6410
DOI: 10.1007/s11548-020-02298-6
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Free-breathing fat and R2∗ quantification in the liver using a stack-of-stars multi-echo acquisition with respiratory-resolved model-based reconstruction
In: Magnetic Resonance in Medicine (2020)
ISSN: 0740-3194
DOI: 10.1002/mrm.28280
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Book Contributions
Inertial Measurements for Motion Compensation in Weight-Bearing Cone-Beam CT of the Knee
In: Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 2020, p. 14-23
ISBN: 9783030597153
DOI: 10.1007/978-3-030-59716-0_2
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, , , , , , :
Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning
In: Anne L. Marte, lPurang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, 2020, p. 199-208
ISBN: 9783030597122
DOI: 10.1007/978-3-030-59713-9_20
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, , , , , , , , , :
Re-Ranking for Writer Identification and Writer Retrieval
In: Document Analysis Systems, 2020, p. 572-586
ISBN: 9783030570576
DOI: 10.1007/978-3-030-57058-3_40
URL: https://arxiv.org/abs/2007.07101
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, , , , , , , , :
The Notary in the Haystack – Countering Class Imbalance in Document Processing with CNNs
In: Xiang Bai, Dimosthenis Karatzas, Daniel Lopresti (ed.): Document Analysis Systems, 2020, p. 246-261
ISBN: 9783030570576
DOI: 10.1007/978-3-030-57058-3_18
URL: https://arxiv.org/abs/2007.07943
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, , , , :
Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval
In: Thomas Tolxdorff; Thomas M. Deserno; Heinz Handels; Andreas Maier; Klaus H. Maier-Hein; Christoph Palm (ed.): Bildverarbeitung für die Medizin 2020, Wiesbaden: Springer Vieweg, 2020, p. 144-149 (Informatik aktuell)
ISBN: 9783658292669
DOI: 10.1007/978-3-658-29267-6_30
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, , , :
Multi-Channel Volumetric Neural Network for Knee Cartilage Segmentation in Cone-Beam CT
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Bildverarbeitung für die Medizin 2020, Wiesbaden: Springer Vieweg, 2020, p. 67-72 (Informatik aktuell)
ISBN: 9783658292669
DOI: 10.1007/978-3-658-29267-6_14
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Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment - Learning New Tricks from Old Dogs
In: Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (ed.): Bildverarbeitung für die Medizin 2020, Wiesbaden: Springer Vieweg, 2020, p. 1-7
ISBN: 9783658292669
DOI: 10.1007/978-3-658-29267-6_1
URL: https://arxiv.org/pdf/1911.10873.pdf
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Vorwort
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell, Springer, 2020, p. XI-XII
ISBN: 9783658292669
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Conference Contributions
ICFHR 2020 Competition on Image Retrieval for Historical Handwritten Fragments
17th International Conference on Frontiers in Handwriting Recognition (ICFHR) (Dortmund, September 8, 2020 - September 10, 2020)
DOI: 10.1109/ICFHR2020.2020.00048
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DNN-based Speed-of-Sound Reconstruction for Automated Breast Ultrasound
2020 IEEE International Ultrasonics Symposium (IUS) (Las Vegas, NV, USA, USA, September 7, 2020 - September 11, 2020)
In: 2020 IEEE International Ultrasonics Symposium (IUS) 2020
DOI: 10.1109/IUS46767.2020.9251579
URL: https://ieeexplore.ieee.org/document/9251579
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, , , , :
Implications of Experiment Set-Ups for Residential Water End-Use Classification
5th International Electronic Conference on Water Sciences (, November 16, 2020 - November 30, 2020)
DOI: 10.3390/ECWS-5-08225
URL: https://sciforum.net/paper/view/conference/8225
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Automatic Detection of Free Intra-Abdominal Air in Computed Tomography
23rd International Conference on Medical Image Computing and Computer Assisted Intervention (Lima, October 4, 2020 - October 8, 2020)
In: Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Cham: 2020
DOI: 10.1007/978-3-030-59713-9
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Automatic CAD-RADS Scoring using Deep Learning
23rd International Conference on Medical Image Computing and Computer Assisted Intervention (Lima, Peru, October 4, 2020 - October 8, 2020)
In: Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Cham: 2020
DOI: 10.1007/978-3-030-59725-2
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, , , , , , , , , :
JBFnet - Low Dose CT Denoising by Trainable Joint Bilateral Filtering
23rd International Conference on Medical Image Computing and Computer Assisted Surgery (MICCAI) (Lima, Peru, October 5, 2020 - October 7, 2020)
In: Martel, A.L., Abolmaesumi, P., Stoyanov, D., Mateus, D., Zuluaga, M.A., Zhou, S.K., Racoceanu, D., Joskowicz, L. (ed.): Proceedings of the 23rd International Conference on Medical Image Computing and Computer Assisted Surgery (MICCAI) 2020
DOI: 10.1007/978-3-030-59713-9_49
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, , , :
ORCA-CLEAN: A Deep Denoising Toolkit for Killer Whale Communication
21th Annual Conference of the International Speech Communication Association: Cognitive Intelligence for Speech Processing, INTERSPEECH 2020 (Shanghai, China, October 25, 2020 - October 29, 2020)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2020 2020
DOI: 10.21437/Interspeech.2020-1316
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Art2Contour: Salient Contour Detection in Artworks Using Generative Adversarial Networks
2020 IEEE International Conference on Image Processing (ICIP 2020) (Online (Abu Dhabi, United Arab Emirates), October 25, 2020 - October 28, 2020)
DOI: 10.1109/ICIP40778.2020.9191117
URL: https://www.researchgate.net/publication/346488040_Art2Contour_Salient_Contour_Detection_in_Artworks_Using_Generative_Adversarial_Networks
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, , :
Contour-Based Bone Axis Detection for X-Ray Guided Surgery on the Knee
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) (Lima, October 4, 2020 - October 8, 2020)
In: Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Cham: 2020
DOI: 10.1007/978-3-030-59725-2_65
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, , , , , :
Automatic Plane Adjustment of Orthopedic Intraoperative Flat Panel Detector CT-Volumes
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) (Lima, October 4, 2020 - October 8, 2020)
In: Martel AL, Abolmaesumi P, Stoyanov D, Mateus D, Zuluaga MA, Zhou SK, Racoceanu D, Joskowicz L (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Cham: 2020
DOI: 10.1007/978-3-030-59713-9_47
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VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data
Eurographics Workshop on Visual Computing for Biology and Medicine (Uni Tübingen, September 28, 2020 - October 1, 2020)
In: K. Nieselt and R. G. Raidou (ed.): Eurographics Workshop on Visual Computing for Biology and Medicine 2020
DOI: 10.2312/vcbm.20201181
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, , , :
Low Dose CT Denoising via Joint Bilateral Filtering and Intelligent Parameter Optimization
6th International Conference on Image Formation in X-Ray Computed Tomography (Regensburg, August 3, 2020 - August 7, 2020)
In: Proceeding of the 6th International Conference on Image Formation in X-Ray Computed Tomography 2020
URL: https://www.ct-meeting.org/data/ProceedingsCTMeeting2020.pdf
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, , , :
Projective Reconstruction of Acquisition Geometry without Point Correspondences
The 6th International Conference on Image Formation in X-Ray Computed Tomography (Online meeting, August 3, 2020 - August 7, 2020)
In: Proceedings of the 6th International Conference on Image Formation in X-Ray Computed Tomography 2020
Open Access: https://ct-meeting.org/?p=program
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, , , :
Deep Learning Based Metal Inpainting in the Projection Domain using Additional Neighboring Projection Information
The 6th International Conference on Image Formation in X-Ray Computed Tomography (Online Meeting, August 3, 2020 - August 7, 2020)
In: Proceedings of The 6th International Conference on Image Formation in X-Ray Computed Tomography 2020
Open Access: https://www.ct-meeting.org/data/ProceedingsCTMeeting2020.pdf
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, , :
Deep Learning-based Partial Fourier Reconstruction for Improved Prostate DWI
International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition (Paris, August 8, 2020 - August 14, 2020)
URL: https://index.mirasmart.com/ISMRM2020/PDFfiles/4351.html
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Reconstruction of Voxels with Position- and Angle-Dependent Weightings
The 6th International Conference on Image Formation in X-Ray Computed Tomography (Online meeting, August 3, 2020 - August 7, 2020)
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Ultrahigh-Resolution Optical Coherence Tomography Investigation of Age-Related Changes in the Photoreceptors, Retinal Pigment Epithelium and Bruch's Membrane
Annual Meeting of the Association-for-Research-in-Vision-and-Ophthalmology (ARVO) (Online, May 1, 2020 - May 7, 2020)
In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, ROCKVILLE: 2020
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, , , , , , , :
Low dose CT denoising with residual convolutional networks and deep learned perceptual loss
European Congress of Radiology (Vienna, Austria, July 15, 2020 - July 19, 2020)
DOI: 10.26044/ecr2020/C-03463
URL: https://epos.myesr.org/poster/esr/ecr2020/C-03463
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, , , :
Predicting Hearing Aid Fittings Based on Audiometric and Subject-Related Data: A Machine Learning Approach
Virtual Conference on Computational Audiology (VCCA2020) (Virtual, June 19, 2020 - June 19, 2020)
In: Virtual Conference on Computational Audiology (VCCA2020) 2020
URL: https://computationalaudiology.com/predicting-hearing-aid-fittings-based-on-audiometric-and-subject-related-data-a-machine-learning-approach/
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, , , , , :
Fully automatic separation of three capillary plexuses in the macular region
Annual Meeting of the Association-for-Research-in-Vision-and-Ophthalmology (ARVO) (ONLINE, May 1, 2020 - May 7, 2020)
In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, ROCKVILLE: 2020
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Investigating Subtle Structural Changes in Eyes with Age-Related Macular Degeneration: A Pilot Study Using Ultrahigh-Resolution Optical Coherence Tomography
Annual Meeting of the Association-for-Research-in-Vision-and-Ophthalmology (ARVO) (ONLINE, May 1, 2020 - May 7, 2020)
In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, ROCKVILLE: 2020
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CLCNet: Deep learning-based noise reduction for hearing aids using complex linear coding
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Barcelona, May 4, 2020 - May 8, 2020)
In: ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2020
Open Access: https://arxiv.org/abs/2001.10218
URL: https://rikorose.github.io/CLCNet-audio-samples.github.io/
BibTeX: Download
, , , , :
DeepECG: Towards 3-D Continuous Cardiac MRI without ECG-Gating - Deep Learningbased
R-Wave Classification for Automated Cardiac Phase Binning
International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition (Sydney, April 18, 2020 - April 23, 2020)
BibTeX: Download
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Learning how to Clean Fingerprints -- Deep Learning based Separated Artefact Reduction
and Regression for MR Fingerprinting
International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition (Sydney, April 18, 2020 - April 23, 2020)
BibTeX: Download
, , , , , , :
RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting
Bilderverarbeitung für die Medizin
Algorithmen - Systeme - Anwendungen (Berlin, March 15, 2020 - March 17, 2020)
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, , , , , , , :
Field of View Extension in Computed Tomography Using Deep Learning Prior
Bildverarbeitung für die Medizin (Berlin, March 15, 2020 - March 17, 2020)
In: Andreas Maier, Klaus Hermann Maier-Hein, Thomas Martin Deserno, Heinz Handels, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin: Algorithmen – Systeme – Anwendungen 2020
URL: https://arxiv.org/abs/1911.01178
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, , , :
Dual-Mode Training with Style Control and Quality Enhancement for Road Image Domain Adaptation
The IEEE Winter Conference on Applications of Computer Vision (WACV) 2020 (Snowmass Village, Colorado, March 1, 2020 - March 5, 2020)
In: 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) 2020
DOI: 10.1109/WACV45572.2020.9093401
URL: https://ieeexplore.ieee.org/abstract/document/9093401
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, , , , , :
Deep autofocus with cone-beam CT consistency constraint
Bildverarbeitung für die Medizin (Berlin, March 15, 2020 - March 17, 2020)
URL: https://arxiv.org/pdf/1911.13162.pdf
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, , , , , , , :
ForestNet – Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees
The 5th Asian Conference on Pattern Recognition (Auckland, New Zealand, November 26, 2019 - November 29, 2019)
In: Pattern Recognition 2020
DOI: 10.1007/978-3-030-41404-7_3
URL: https://link.springer.com/chapter/10.1007/978-3-030-41404-7_3
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, , , :
How Big is Big Enough?: A Large-Scale Histological Dataset of Mitotic Figures
Bildverarbeitung für die Medizin 2020 (Berlin, March 17, 2020 - March 19, 2020)
In: Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (ed.): Bildverarbeitung für die Medizin 2020, Wiesbaden: 2020
DOI: 10.1007/978-3-658-29267-6_65
URL: https://link.springer.com/content/pdf/10.1007/978-3-658-29267-6_65.pdf
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, , , , :
Multi-Task Framework for X-Ray Guided Planning in Knee Surgery
Bildverarbeitung für die Medizin 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (ed.): Bildverarbeitung für die Medizin 2020, Wiesbaden: 2020
DOI: 10.1007/978-3-658-29267-6_57
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Font Augmentation: Implant and Surgical Tool Simulation for X-Ray Image Processing
Bildverarbeitung für die Medizin 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Tolxdorff T., Deserno T., Handels H., Maier A., Maier-Hein K., Palm C. (ed.): Bildverarbeitung für die Medizin 2020, Wiesbaden: 2020
DOI: 10.1007/978-3-658-29267-6_36
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, , , :
The rapid rise of Fraktur
7. Tagung des Verbands Digital Humanities im deutschsprachigen Raum (Paderborn, March 2, 2020 - March 6, 2020)
DOI: 10.5281/zenodo.3666690
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An improved combination of ordered subsets and momentum for fast model-based iterative CT reconstruction
Medical Imaging 2020: Physics of Medical Imaging (Houston, TX, February 16, 2020 - February 19, 2020)
In: Guang-Hong Chen, Hilde Bosmans (ed.): Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2020
DOI: 10.1117/12.2549733
BibTeX: Download
, , , , , :
Acquisition Parameter–Conditioned Generative Adversarial Network for Enhanced MR Image Synthesis
International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition (Virtual, August 8, 2020 - August 14, 2020)
In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (28th Annual Meeting & Exhibition) 2020
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Automated Deep-Learning-based Inversion Time Selection for Cardiac Late Gadolinium
Enhancement Imaging
International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition (Sydney, April 18, 2020 - April 23, 2020)
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, , , , , , , :
COPD classification in CT images using a 3D convolutional neural network
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_8
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, , , , , , :
An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process
Bildverarbeitung für die Medizin 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Springer (ed.): Algorithmen – Systeme – Anwendungen. Proceedings des Workshops 2020
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Are fast labeling methods reliable? a case study of computer-aided expert annotations on microscopy slides
23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020 (Lima, October 4, 2020 - October 8, 2020)
In: Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-59710-8_3
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, , , , , , , , , , , , , , :
Deep Learning based Attribute Representation in Ancient Vase Paintings
Digital Humanities 2020 - Intersections/Carrefours (Ottawa, Canada, July 22, 2020 - July 24, 2020)
In: Digital Humanities 2020 - Intersections/Carrefours 2020
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Deep learning-based denoising of mammographic images using physics-driven data augmentation
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_21
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, , , , :
Deep OCT angiography image generation for motion artifact suppression
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_55
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, , , , :
Deep Recurrent Partial Fourier Reconstruction in Diffusion MRI
3rd International Workshop on Machine Learning for Medical Image Reconstruction, MLMIR 2020, held in conjunction with the 23rd Medical Image Computing and Computer Assisted Intervention, MICCAI 2020 (Lima, October 8, 2020 - October 8, 2020)
In: Farah Deeba, Patricia Johnson, Tobias Würfl, Jong Chul Ye (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-61598-7_4
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, , , :
Deep Scatter Splines: Learning-Based Medical X-ray Scatter Estimation Using B-splines
The 6th International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) (Regensburg (virtuell), August 3, 2020 - August 7, 2020)
Open Access: https://www.ct-meeting.org/data/ProceedingsCTMeeting2020.pdf
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, , , , , , , :
Degenerating u-net on retinal vessel segmentation: What do we really need?
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_7
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, , , :
Epoch-wise label attacks for robustness against label noise
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Bildverarbeitung für die Medizin 2020 2020
DOI: 10.1007/978-3-658-29267-6_64
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Learning-based misalignment detection for 2-D/3-D overlays
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_52
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, , , , :
Learning how to Clean Fingerprints -- Deep Learning based Separated Artefact Reduction
and Regression for MR Fingerprinting
ISMRM Workshop on Data Sampling & Image Reconstruction (Sedona, January 26, 2020 - January 29, 2020)
BibTeX: Download
, , , , , , :
Abstract: Learning to avoid poor images: towards task-aware c-arm cone-beam ct trajectories
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_39
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, , , , , , :
Fully-automatic CT data preparation for interventional X-ray skin dose simulation
Bildverarbeitung für die Medizin: Algorithmen - Systeme - Anwendungen (Berlin, March 15, 2020 - March 17, 2020)
In: Informatik Aktuell
Bildverarbeitung für die Medizin 2020
Algorithmen - Systeme - Anwendungen 2020
DOI: 10.1007/978-3-658-29267-6_26
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, , , , , , , , :
Imitation learning network for fundus image registration using a divide-and-conquer approach
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_67
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, , , , :
Is crowd-algorithm collaboration an advanced alternative to crowd-sourcing on cytology slides?
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_5
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, , , , , , , , :
Learning-based correspondence estimation for 2-D/3-D registration
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, DEU, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_50
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, , , , :
Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation
11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2019
In: Liu M., Yan P., Lian C., Cao X. (ed.): Machine Learning in Medical Imaging 2020
DOI: 10.1007/978-3-030-59861-7_51
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, , , , :
Erlernbarkeitsstudie eines vibrotaktilen Armbands für assistive Navigation
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_59
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Compressed sensing for optical coherence tomography angiography volume generation
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_19
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, , , , , , :
Lightweight Online Noise Reduction on Embedded Devices using Hierarchical Recurrent Neural Networks
INTERSPEECH 2020 (Shanghai, October 25, 2020 - October 29, 2020)
In: INTERSPEECH 2020 2020
Open Access: https://arxiv.org/abs/2006.13067
URL: https://arxiv.org/abs/2006.13067
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, , , , :
Vorwort
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
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, , , , , :
Combining 2-D and 3-D weight-bearing x-ray images: Application to preoperative implant planning in the knee
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_74
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, , , , , :
Are Pathologist-Defined Labels Reproducible? Comparison of the TUPAC16 Mitotic Figure Dataset with an Alternative Set of Labels
IMIMIC 2020, MIL3ID 2020, LABELS 2020 (Lima, October 4, 2020 - October 8, 2020)
In: Jaime Cardoso, Wilson Silva, Ricardo Cruz, Hien Van Nguyen, Badri Roysam, Nicholas Heller, Pedro Henriques Abreu, Jose Pereira Amorim, Ivana Isgum, Vishal Patel, Kevin Zhou, Steve Jiang, Ngan Le, Khoa Luu, Raphael Sznitman, Veronika Cheplygina, Samaneh Abbasi, Diana Mateus, Emanuele Trucco (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-61166-8_22
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, , , , , , :
C-arm CT imaging using the extended line-ellipse-line trajectory: Seamless FBP reconstruction from real data
Medical Imaging 2020: Physics of Medical Imaging (Houston, TX, February 16, 2020 - February 19, 2020)
In: Guang-Hong Chen, Hilde Bosmans (ed.): Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2020
DOI: 10.1117/12.2549999
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, , , :
A Robust Deep-Learning-based Automated Cardiac Resting Phase Detection: Validation in a
Prospective Study
International Society for Magnetic Resonance in Medicine (ISMRM) 28th Annual Meeting & Exhibition (Sydney, April 18, 2020 - April 23, 2020)
BibTeX: Download
, , , , , , , , :
Computer Vision Understanding of Narrative Strategies on Greek Vases
48th Computer Applications and Quantitative Methods in Archaeology Conference (Oxford, UK, April 14, 2020 - April 17, 2020)
In: Computer Applications and Quantitative Methods in Archaeology 2020
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, , , , :
A Visualization Tool for Image Fusion of Artworks
25th International Conference on Cultural Heritage and New Technologies (Online (Vienna, Austria), November 4, 2020 - November 6, 2020)
URL: https://www.chnt.at/wp-content/uploads/A-Visualization-Tool-for-Image-Fusion-of-Artworks.pdf
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, , :
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans
BVM Workshop 2020 (Berlin, March 15, 2020 - December 17, 2019)
URL: https://arxiv.org/abs/1912.06417
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, , , , , , , :
Spatio-Temporal Handwriting Imitation
European Conference on Computer Vision (Online, August 23, 2020 - August 28, 2020)
BibTeX: Download
, , , , , :
Modularization of deep networks allows cross-modality reuse: lesson learnt
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_61
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Open source simulation of fixational eye drift motion in oct scans: Towards better comparability and accuracy in retrospective OCT motion correction
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_56
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, , , , :
Prediction of MRI Hardware Failures based on Image Features using Ensemble Learning
Bildverarbeitung für die Medizin 2020 (Berlin, March 15, 2020 - March 17, 2020)
BibTeX: Download
, , :
Prediction of MRI Hardware Failures based on Image Features using Time Series Classification
Bildverarbeitung für die Medizin (Berlin, March 15, 2020 - March 17, 2020)
BibTeX: Download
, , :
Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (, October 31, 2020 - November 7, 2020)
In: Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization 2020
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Tenfold your photons: A physically-sound approach to filtering-based variance reduction of monte-carlo-simulated dose distributions
International workshop on Algorithmen - Systeme - Anwendungen, 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (ed.): Informatik aktuell 2020
DOI: 10.1007/978-3-658-29267-6_24
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, , , , , :
The Effect of Data Augmentation on Classification of Atrial Fibrillation in Short Single-Lead ECG Signals Using Deep Neural Networks
45th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020) (Barcelona, Spain, May 4, 2020 - May 8, 2020)
DOI: 10.1109/ICASSP40776.2020.9053800
URL: https://ieeexplore.ieee.org/document/9053800
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, , , , , :
Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair
23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020 (Lima, October 4, 2020 - October 8, 2020)
In: Anne L. Martel, Purang Abolmaesumi, Danail Stoyanov, Diana Mateus, Maria A. Zuluaga, S. Kevin Zhou, Daniel Racoceanu, Leo Joskowicz (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2020
DOI: 10.1007/978-3-030-59719-1_69
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, , , :
Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics
BVM Workshop 2020 (Berlin, March 15, 2020 - March 17, 2020)
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Miscellaneous
CLC: Complex Linear Coding for the DNS 2020 Challenge
(2020)
Open Access: https://arxiv.org/abs/2006.13077
URL: https://github.com/Rikorose/clc-dns-challenge-2020
BibTeX: Download
(Working Paper)
, , , :
2019
Journal Articles
Calibration-free beam hardening reduction in x-ray CBCT using the epipolar consistency condition and physical constraints.
In: Medical Physics 46 (2019), p. e810-e822
ISSN: 0094-2405
DOI: 10.1002/mp.13625
BibTeX: Download
, , , , , :
A comparison of methods for adapting 177Lu dose-voxel-kernels to tissue inhomogeneities
In: Physics in Medicine and Biology 64 (2019), Article No.: 245011
ISSN: 0031-9155
DOI: 10.1088/1361-6560/ab5b81
BibTeX: Download
, , , , , :
Reduktion von Metallartefakten durch multipositionale Datenfusion in der industriellen Röntgen-Computertomographie
In: Technisches Messen 87 (2019), p. 101–110
ISSN: 0171-8096
DOI: 10.1515/teme-2019-0137.
URL: https://www.degruyter.com/view/j/teme.2020.87.issue-2/teme-2019-0137/teme-2019-0137.xml
BibTeX: Download
, , , :
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging
In: Scientific Reports 9 (2019), Article No.: 18814
ISSN: 2045-2322
DOI: 10.1038/s41598-019-55108-8
BibTeX: Download
, , , , , , :
Impact of the non-negativity constraint in model-based iterative reconstruction from CT data
In: Medical Physics 46 (2019), p. e835-e854
ISSN: 0094-2405
DOI: 10.1002/mp.13702
URL: https://aapm.onlinelibrary.wiley.com/doi/full/10.1002/mp.13702
BibTeX: Download
, , , , , :
ORCA-SPOT: An Automatic Killer Whale Sound Detection Toolkit Using Deep Learning
In: Scientific Reports 9 (2019), Article No.: 10997
ISSN: 2045-2322
DOI: 10.1038/s41598-019-47335-w
BibTeX: Download
, , , , , , , :
Robust Camera Pose Estimation for Unordered Road Scene Images in Varying Viewing Conditions
In: IEEE Transactions on Intelligent Vehicles 5 (2019), p. 165 - 174
ISSN: 2379-8858
DOI: 10.1109/TIV.2019.2955375
URL: https://ieeexplore.ieee.org/abstract/document/8910493
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, , :
A large-scale dataset for mitotic figure assessment on whole slide images of canine cutaneous mast cell tumor
In: Scientific Data 6 (2019), p. 1-9
ISSN: 2052-4463
DOI: 10.1038/s41597-019-0290-4
URL: https://www.nature.com/articles/s41597-019-0290-4.pdf
BibTeX: Download
, , , , :
Technical Note: PYRO-NN: Python reconstruction operators in neural networks
In: Medical Physics 46 (2019), p. 5110-5115
ISSN: 0094-2405
DOI: 10.1002/mp.13753
URL: https://aapm.onlinelibrary.wiley.com/doi/abs/10.1002/mp.13753
BibTeX: Download
, , , , , :
Automated Calculation of Alberta Stroke Program Early CT Score Validation in Patients With Large Hemispheric Infarct
In: Stroke 50 (2019), p. 3277-3279
ISSN: 1524-4628
DOI: 10.1161/STROKEAHA.119.026430
BibTeX: Download
, , , , , , , , , , :
Simulation study on X-ray phase contrast imaging with dual-phase gratings
In: International Journal of Computer Assisted Radiology and Surgery 14 (2019), p. 3-10
ISSN: 1861-6410
DOI: 10.1007/s11548-018-1872-x
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Bopp18-SSO.pdf
BibTeX: Download
, , , , , , :
High-speed slot-scanning radiography using small-angle tomosynthesis: Investigation of spatial resolution
In: Medical Physics (2019)
ISSN: 0094-2405
DOI: 10.1002/mp.13828
BibTeX: Download
, , , , , , :
Bausteine auf dem Weg zu einer virtuellen Zeitmanschiene – ein Editionsprojekt über lange Dauer
In: Magazin für digitale Editionswissenschaften 5 (2019), p. 7-17
ISSN: 2364-0855
Open Access: https://www.mde.fau.de/files/2019/10/MdE_05_19_Maier_Stromer_Christlein_Bell_fertig.pdf
URL: https://www.mde.fau.de/files/2019/10/MdE_05_19_Maier_Stromer_Christlein_Bell_fertig.pdf
BibTeX: Download
, , , :
Physics-driven learning of x-ray skin dose distribution in interventional procedures
In: Medical Physics 46 (2019), p. 4654-4665
ISSN: 0094-2405
DOI: 10.1002/mp.13758
BibTeX: Download
, , , , , , :
A Semi-Automated Usability Evaluation Framework for Interactive Image Segmentation Systems
In: International Journal of Biomedical Imaging 2019 (2019), p. 1-21
ISSN: 1687-4188
DOI: 10.1155/2019/1464592
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Amrehn19-ASU.pdf
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, , , , , , :
Robust mixed one-bit compressive sensing
In: Signal Processing 162 (2019), p. 161-168
ISSN: 0165-1684
DOI: 10.1016/j.sigpro.2019.04.011
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, , , , , , :
Automatic orientation estimation of inertial sensors in C-Arm CT Projections
In: Current Directions in Biomedical Engineering 5 (2019), p. 195-198
ISSN: 2364-5504
DOI: 10.1515/cdbme-2019-0050
BibTeX: Download
, , , , , , :
Learning with Known Operators reduces Maximum Training Error Bounds.
In: Nature Machine Intelligence 1 (2019), p. 373-380
ISSN: 2522-5839
DOI: 10.1038/s42256-019-0077-5
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, , , , , , , , , :
Spatial Distribution of Choriocapillaris Impairment in Eyes with Choroidal Neovascularization Secondary to Age-Related Macular Degeneration
In: Retina-The Journal of Retinal and Vitreous Diseases (2019)
ISSN: 0275-004X
DOI: 10.1097/IAE.0000000000002556
URL: https://journals.lww.com/retinajournal/Abstract/publishahead/SPATIAL_DISTRIBUTION_OF_CHORIOCAPILLARIS.96058.aspx
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, , , , , , , , , , , , , :
Fast and Efficient Limited Data Hyperspectral Remote Sensing Image Classification via GMM-Based Synthetic Samples
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 12 (2019), p. 2107-2120
ISSN: 1939-1404
DOI: 10.1109/JSTARS.2019.2916495
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Davari_JSTARS_2019.pdf
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, , , :
Registration of vascular structures using a hybrid mixture model
In: International Journal of Computer Assisted Radiology and Surgery (2019), p. 1–10
ISSN: 1861-6410
DOI: 10.1007/s11548-019-02007
URL: https://link.springer.com/article/10.1007/s11548-019-02007-y
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, , , , , , , , , , :
A 3-D Projection Model for X-ray Dark-field Imaging
In: Scientific Reports 9 (2019)
ISSN: 2045-2322
Open Access: https://www.nature.com/articles/s41598-019-45708-9
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, , , , , , :
Automatic Classification of Defective Photovoltaic Module Cells in Electroluminescence Images
In: Solar Energy 185 (2019), p. 455-468
ISSN: 0038-092X
DOI: 10.1016/j.solener.2019.02.067
URL: https://arxiv.org/pdf/1807.02894.pdf
BibTeX: Download
(Techreport)
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On Providing Multi-Level Quality of Service for Operating Rooms of the Future.
In: Sensors 19 (2019)
ISSN: 1424-8220
DOI: 10.3390/s19102303
BibTeX: Download
, , , , :
Toward Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data
In: IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (2019)
ISSN: 0162-8828
DOI: 10.1109/TPAMI.2019.2917037
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Koehler19-TBT.pdf
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, , , , , :
Enhanced Crack Segmentation (eCS): A Reference Algorithm for Segmenting Cracks in Multicrystalline Silicon Solar Cells
In: IEEE Journal of Photovoltaics 9 (2019), p. 752-758
ISSN: 2156-3381
DOI: 10.1109/JPHOTOV.2019.2895808
BibTeX: Download
, , , , :
A gentle introduction to deep learning in medical image processing [Eine sanfte Einführung in Tiefes Lernen in der Medizinischen Bildverarbeitung]
In: Zeitschrift für Medizinische Physik 29 (2019), p. 86-101
ISSN: 0939-3889
DOI: 10.1016/j.zemedi.2018.12.003
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, , , :
Accurate fatty acid composition estimation of adipose tissue in the abdomen based on bipolar multi-echo MRI
In: Magnetic Resonance in Medicine 81 (2019), p. 2330-2346
ISSN: 0740-3194
DOI: 10.1002/mrm.27557
BibTeX: Download
, , , , , , , , :
Determination of Forming Limits in Sheet Metal Forming Using Deep Learning
In: Materials 12 (2019)
ISSN: 1996-1944
DOI: 10.3390/ma12071051
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, , , , :
Speech intelligibility in patients with oral cancer: An objective baseline evaluation of pretreatment function and impairment
In: Head and Neck-Journal For the Sciences and Specialties of the Head and Neck 41 (2019), p. 1063-1069
ISSN: 1043-3074
DOI: 10.1002/hed.25527
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, , , , , , , , :
Virtual cleaning and unwrapping of non-invasively digitized soiled bamboo scrolls
In: Scientific Reports 9 (2019), Article No.: 2311
ISSN: 2045-2322
DOI: 10.1038/s41598-019-39447-0
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, , , , , :
A learning-based material decomposition pipeline for multi-energy x-ray imaging
In: Medical Physics 46 (2019), p. 689-703
ISSN: 0094-2405
DOI: 10.1002/mp.13317
BibTeX: Download
, , , , , , , , , , :
Probe-based confocal laser endomicroscopy in detecting malignant lesions of vocal folds.
In: Acta Otorhinolaryngologica Italica (2019)
ISSN: 0392-100X
DOI: 10.14639/0392-100X-2121
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, , , , , , :
Deep learning-based detection of motion artifacts in probe-based confocal laser endomicroscopy images.
In: International Journal of Computer Assisted Radiology and Surgery 14 (2019), p. 31-42
ISSN: 1861-6410
DOI: 10.1007/s11548-018-1836-1
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, , , , , , , , :
Guest editorial of the IJCARS—BVM 2018 special issue
In: International Journal of Computer Assisted Radiology and Surgery 14 (2019)
ISSN: 1861-6410
DOI: 10.1007/s11548-018-01902-0
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, , , , , :
Learning to detect anatomical landmarks of the pelvis in X-rays from arbitrary views
In: International Journal of Computer Assisted Radiology and Surgery (2019)
ISSN: 1861-6410
DOI: 10.1007/s11548-019-01975-5
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, , , , , , , , , , :
IJCARS: BVM 2019 special issue
In: International Journal of Computer Assisted Radiology and Surgery (2019)
ISSN: 1861-6410
DOI: 10.1007/s11548-019-02086-x
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, , , , , :
Factors affecting accuracy of S values and determination of time-integrated activity in clinical Lu-177 dosimetry
In: Annals of Nuclear Medicine (2019)
ISSN: 0914-7187
DOI: 10.1007/s12149-019-01365-6
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, , , , , :
Multi-Modal Deep Guided Filtering for Comprehensible Medical Image Processing Supplementary Material
In: IEEE Transactions on Medical Imaging (2019)
ISSN: 0278-0062
DOI: 10.1109/TMI.2019.2955184
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, , , , , :
Toward analyzing mutual interference on infrared-enabled depth cameras
In: Computer Vision and Image Understanding (2019)
ISSN: 1077-3142
DOI: 10.1016/j.cviu.2018.09.010
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, , , , , , , , , :
Symmetry prior for epipolar consistency
In: International Journal of Computer Assisted Radiology and Surgery (2019)
ISSN: 1861-6410
DOI: 10.1007/s11548-019-02027-8
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, , , , , , , :
Simultaneous reconstruction of multiple stiff wires from a single X-ray projection for endovascular aortic repair
In: International Journal of Computer Assisted Radiology and Surgery (2019)
ISSN: 1861-6410
DOI: 10.1007/s11548-019-02052-7
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, , , , , :
Pitfalls in interventional X-ray organ dose assessment—combined experimental and computational phantom study: application to prostatic artery embolization
In: International Journal of Computer Assisted Radiology and Surgery (2019)
ISSN: 1861-6410
DOI: 10.1007/s11548-019-02037-6
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, , , , , , , :
Multi-Scale Deep Reinforcement Learning for Real-Time 3D-Landmark Detection in CT Scans
In: IEEE Transactions on Pattern Analysis and Machine Intelligence 41 (2019), p. 176-189
ISSN: 0162-8828
DOI: 10.1109/TPAMI.2017.2782687
BibTeX: Download
, , , , , , :
Next-generation imaging of the skeletal system and its blood supply
In: Nature Reviews Rheumatology (2019)
ISSN: 1759-4790
DOI: 10.1038/s41584-019-0274-y
BibTeX: Download
, , , , , , , , :
Co-localized augmented human and X-ray observers in collaborative surgical ecosystem
In: International Journal of Computer Assisted Radiology and Surgery (2019)
ISSN: 1861-6410
DOI: 10.1007/s11548-019-02035-8
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, , , , , , , , , :
Automated Billing Code Retrieval from MRI Scanner Log Data
In: Journal of Digital Imaging (2019)
ISSN: 0897-1889
DOI: 10.1007/s10278-019-00241-z
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, , , , , :
Corrigendum to: Intraoperative imaging modalities and compensation for brain shift in tumor resection surgery (International Journal of Biomedical Imaging (2017) 2017 (6028645) DOI: 10.1155/2017/6028645)
In: International Journal of Biomedical Imaging 2019 (2019), Article No.: 9249016
ISSN: 1687-4188
DOI: 10.1155/2019/9249016
BibTeX: Download
, , , :
A machine learning pipeline for internal anatomical landmark embedding based on a patient surface model
In: International Journal of Computer Assisted Radiology and Surgery 14 (2019), p. 53--61
ISSN: 1861-6410
DOI: 10.1007/s11548-018-1871-y
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Zhong18-AML.pdf
BibTeX: Download
, , , , , :
A deep learning based pipeline for optical coherence tomography angiography
In: Journal of Biophotonics (2019), Article No.: e201900008
ISSN: 1864-063X
DOI: 10.1002/jbio.201900008
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, , , , , , , , , , , :
Particle filter de-noising of voxel-specific time-activity-curves in personalized 177Lu therapy
In: Zeitschrift für Medizinische Physik (2019)
ISSN: 0939-3889
DOI: 10.1016/j.zemedi.2019.10.005
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, , , , , , :
Measuring surface area of skin lesions with 2D and 3D algorithms
In: International Journal of Biomedical Imaging 2019 (2019), Article No.: 4035148
ISSN: 1687-4188
DOI: 10.1155/2019/4035148
BibTeX: Download
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Book Contributions
Deep Learning Based Metal Inpainting in the Projection Domain: Initial Results
In: Machine Learning for Medical Image Reconstruction, 2019, p. 125-136
ISBN: 9783030338428
DOI: 10.1007/978-3-030-33843-5_12
BibTeX: Download
, , , :
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks
In: Rainer Röhrig, Harald Binder, Hans-Ulrich Prokosch, Ulrich Sax, Irene Schmidtmann, Susanne Stolpe, Antonia Zapf (ed.): German Medical Data Sciences: Shaping Change – Creative Solutions for Innovative Medicine, IOS Press, 2019, p. 126-133 (Studies in Health Technology and Informatics, Vol.267)
DOI: 10.3233/SHTI190816
BibTeX: Download
, , , , , , , , :
Classification of leukemic B-Lymphoblast cells from blood smear microscopic images with an attention-based deep learning method and advanced augmentation techniques
In: Anubha Gupta, Ritu Gupta (ed.): ISBI 2019 C-NMC Challenge: Classification in Cancer Cell Imaging, Springer, 2019, p. 13-22 (Lecture Notes in Bioengineering)
DOI: 10.1007/978-981-15-0798-4_2
BibTeX: Download
, , , :
Combining Ultrasound and X-Ray Imaging for Mammography
In: Bildverarbeitung für die Medizin 2019, Springer, 2019, p. 245--250
BibTeX: Download
, , , , :
Conference Contributions
Image Quality Assessment for Rigid Motion Compensation
MedNeurips (Vancouver, Canada, December 8, 2019 - December 14, 2019)
Open Access: https://arxiv.org/abs/1910.04254
URL: https://arxiv.org/abs/1910.04254
BibTeX: Download
, , , , , , , :
Automated Multi-sequence Cardiac MRI Segmentation Using Supervised Domain Adaptation
In: STACOM 2019 2019
DOI: 10.1007/978-3-030-39074-7_32
BibTeX: Download
, , :
Estimating the Fundamental Matrix Without Point Correspondences WithApplication to Transmission Imaging
International Conference on Computer Vision 2019 (Seoul, Südkorea, October 27, 2019 - November 2, 2019)
In: Proceedings of the IEEE International Conference on Computer Vision 2019
Open Access: http://openaccess.thecvf.com/content_ICCV_2019/papers/Wurfl_Estimating_the_Fundamental_Matrix_Without_Point_Correspondences_With_Application_to_ICCV_2019_paper.pdf
URL: http://openaccess.thecvf.com/content_ICCV_2019/papers/Wurfl_Estimating_the_Fundamental_Matrix_Without_Point_Correspondences_With_Application_to_ICCV_2019_paper.pdf
BibTeX: Download
, , , , :
Measuring CT Reconstruction Quality with Deep Convolutional Networks
Second International Workshop on Machine Learning for Medical Image Reconstruction (Shenzhen, China, October 17, 2019 - October 17, 2019)
In: Knoll F., Maier A., Rueckert D., Ye J. (ed.): Machine Learning for Medical Image Reconstruction 2019
URL: https://link.springer.com/chapter/10.1007/978-3-030-33843-5_11
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, , , :
Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior
MICCAI MLMIR (Shenzhen, China, October 17, 2019 - October 17, 2019)
In: Knoll, Florian and Maier, Andreas and Rueckert, Daniel and Ye, Jong Chul (ed.): Machine Learning for Medical Image Reconstruction, Cham: 2019
DOI: 10.1007/978-3-030-33843-5_10
URL: https://link.springer.com/chapter/10.1007/978-3-030-33843-5_10
BibTeX: Download
, , , , , :
Multi-task Localization and Segmentation for X-Ray Guided Planning in Knee Surgery
22nd International Conference on Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 (Shenzhen, October 13, 2019 - October 17, 2019)
In: Shen D., Liu T., Peters T.M., Staib L.H., Essert C., Zhou S., Yap P.-T., Khan A. (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, Cham: 2019
DOI: 10.1007/978-3-030-32226-7_69
BibTeX: Download
, , , , , , , , :
A Divide-and-Conquer Approach towards Understanding Deep Networks
MICCAI 2019 (Shenzhen, China, October 13, 2019 - October 17, 2019)
In: Dinggang Shen, Tianming Liu, Terry M. Peters, Lawrence H. Staib, Caroline Essert, Sean Zhou, Pew-Thian Yap, Ali Khan (ed.): Medical Image Computing and Computer Assisted Intervention (MICCAI 2019), Shenzhen: 2019
DOI: 10.1007/978-3-030-32239-7_21
URL: https://link.springer.com/chapter/10.1007/978-3-030-32239-7_21
BibTeX: Download
, , , , :
Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics
MICCAI (Shenzhen, October 13, 2019 - October 17, 2019)
In: Shen, D., Liu, T., Peters, T.M., Staib, L.H., Essert, C., Zhou, S., Yap, P.-T., Khan, A. (ed.): MICCAI 2019: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 2019
DOI: 10.1007/978-3-030-32251-9_65
URL: http://arxiv.org/abs/1912.06075
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, , , , , , , , :
RinQ Fingerprinting: Recurrence-Informed Quantile Networks for Magnetic Resonance Fingerprinting
Medical Image Computing and Computer Assisted Intervention (Shenzhen, October 13, 2019 - October 17, 2019)
In: Proceedings of MICCAI 2019, Cham: 2019
DOI: 10.1007/978-3-030-32248-9_11
BibTeX: Download
, , , , , , , , :
Local topology preservation for vascular centerline matching using a hybrid mixture model
2019 IEEE Nuclear Science Symposium (NSS) and Medical Imaging Conference (MIC) (Manchester, GB, October 26, 2019 - November 2, 2019)
In: IEEE (ed.): Conference Record IEEE 2019 NSSMIC 2019
BibTeX: Download
, , , , , , , , , , , :
Recognizing Characters in Art History Using Deep Learning
SUMAC 2019 - The 1st workshop on Structuring and Understanding of Multimedia heritAge Contents (Nice, October 21, 2019 - October 25, 2019)
In: Recognizing Characters in Art History Using Deep Learning 2019
DOI: 10.1145/3347317.3357242
BibTeX: Download
, , , , , :
Applying Deep Learning Algorithms to EL-images for Predicting the Module Power
36th European Photovoltaic Solar Energy Conference and Exhibition (Marseille, September 9, 2019 - September 13, 2019)
In: Proceedings of the 36th European Photovoltaic Solar Energy Conference and Exhibition 2019
DOI: 10.4229/EUPVSEC20192019-4CO.1.2
BibTeX: Download
, , , , , :
Dataset of pages from early printed books with multiple font groups
5th International Workshop on Historical Document Imaging and Processing, HIP 2019, held in conjunction with ICDAR 2019 (Sydney, NSW, September 20, 2019 - September 21, 2019)
In: ACM International Conference Proceeding Series 2019
DOI: 10.1145/3352631.3352640
BibTeX: Download
, , , , :
Deep Image Denoising in SPECT
Annual Congress of the European Association of Nuclear Medicine (Barcelona, October 12, 2019 - October 16, 2019)
In: Springer-Verlag GmbH Germany, part of Springer Nature 2019 (ed.): European Journal of Nuclear Medicine and Molecular Imaging (2019) 46 (Suppl 1): S1–S952, 10.1007/s00259-019-04486-2, Berlin, Heidelberg: 2019
DOI: 10.1007/s00259-019-04486-2
URL: https://link.springer.com/article/10.1007/s00259-019-04486-2
BibTeX: Download
, , , , , :
Weakly Supervised Segmentation of Cracks on Solar Cells using Normalized Lp Norm
2019 IEEE International Conference on Image Processing (Taipei, September 22, 2019 - September 25, 2019)
In: IEEE (ed.): 2019 IEEE International Conference on Image Processing (ICIP) 2019
DOI: 10.1109/ICIP.2019.8803116
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Mayr19-WSS.pdf
BibTeX: Download
, , , :
Relationship between CC Impairment and GA Growth: An Optical Coherence Tomography Angiography Study
Annual Meeting of the Association-for-Research-in-Vision-and-Ophthalmology (ARVO) (Vancouver, April 28, 2019 - May 2, 2019)
In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, ROCKVILLE: 2019
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Deep learning based hybrid OCT-OCTA segmentation of Bruch's membrane in pathology
Annual Meeting of the Association-for-Research-in-Vision-and-Ophthalmology (ARVO) (Vancouver, April 28, 2019 - May 2, 2019)
In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, ROCKVILLE: 2019
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, , , , , , :
Correction of artifacts from misregistered B-scans in orthogonally scanned and registered OCT angiography
ARVO Annual Meeting 2019 (Vancouver, B.C., Canada, April 28, 2019 - May 2, 2019)
In: Investigative Ophthalmology & Visual Science 2019
URL: https://iovs.arvojournals.org/article.aspx?articleid=2745781&resultClick=1
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Using Medical Image Reconstruction Methods for Denoising of OCTA Data
ARVO Annual Meeting 2019 (Vancouver, B.C., Canada, April 28, 2019 - May 2, 2019)
In: Investigative Ophthalmology & Visual Science 2019
URL: https://iovs.arvojournals.org/article.aspx?articleid=2746928&resultClick=1
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THE 4-D+ NANOSCOPE: THE RESOLUTION FOR BIOLOGICAL SAMPLES
Annual European Congress of Rheumatology (EULAR) (Madrid, June 12, 2019 - June 15, 2019)
In: ANNALS OF THE RHEUMATIC DISEASES, LONDON: 2019
DOI: 10.1136/annrheumdis-2019-eular.8516
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Motion Gradients for Epipolar Consistency
15th International Meeting on Fully Three-Dimensional Image Reconstruction (Philadelphia, PA, June 2, 2019 - June 6, 2019)
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Theoretically-exact filtered-backprojection reconstruction from real data on the line-ellipse-line trajectory
15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
In: Proceedings Volume 11072 2019
DOI: 10.1117/12.2533655
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, , , :
Free-Breathing, Self-Navigated and Dynamic 3-D Multi-Contrast Cardiac CINE Imaging Using Cartesian Sampling and Compressed Sensing
Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (27th Annual Meeting & Exhibition) (Montreal, May 11, 2019 - May 16, 2019)
In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (27th Annual Meeting & Exhibition) 2019
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Non-deterministic Behavior of Ranking-Based Metrics When Evaluating Embeddings
2nd International Workshop on Reproducible Research in Pattern Recognition, RRPR 2018 (Beijing, August 20, 2018 - August 20, 2018)
In: Hugues Talbot, Pascal Monasse, Bertrand Kerautret, Miguel Colom, Daniel Lopresti (ed.): RRPR 2018: Reproducible Research in Pattern Recognition 2019
DOI: 10.1007/978-3-030-23987-9_5
URL: https://arxiv.org/pdf/1806.07171.pdf
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, , , , :
Automatic Cardiac Resting Phase Detection for Static Cardiac Imaging Using Deep Neural Networks
Joint Annual Meeting ISMRM-ESMRMB (27th Annual Meeting & Exhibition (Montreal, May 11, 2019 - May 16, 2019)
In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (27th Annual Meeting & Exhibition) 2019
URL: https://index.mirasmart.com/ISMRM2019/PDFfiles/2131.html
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Segmentation, Classification, and Visualization of Orca Calls Using Deep Learning
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Brighton, May 12, 2019 - May 17, 2019)
In: ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019
DOI: 10.1109/ICASSP.2019.8683785
URL: https://ieeexplore.ieee.org/abstract/document/8683785
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, , , , , :
Deep Neural Networks for Motion Estimation in k-space: Applications and Design
Joint Annual Meeting ISMRM-ESMRMB (27th Annual Meeting & Exhibition) (Montreal, May 11, 2019 - May 16, 2019)
In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2019
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, , , , , , :
Pediatric Patient Surface Model Atlas Generation and X-Ray Skin Dose Estimation
Bildverarbeitung für die Medizin (Lübeck, March 17, 2019 - March 19, 2019)
In: BVM 2019
DOI: 10.1007/978-3-658-25326-4_27
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, , , , , , , , , :
Impact of Pathologies on Automatic Age Estimation
Fortschritte der Akustik - DAGA 2019 (DAGA 2019 - 45. Jahrestagung für Akustik) (Rostock, March 18, 2019 - March 21, 2019)
In: Deutsche Gesellschaft für Akustik e.V. (ed.): Fortschritte der Akustik - DAGA 2019, Rostock: 2019
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Schwinn19-IOP.pdf
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, , , :
On the Characteristics of Helical 3-D X-ray Dark-field Imaging
Bildverarbeitung für die Medizin (BVM 2019) (Lübeck, March 17, 2019 - March 19, 2019)
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Felsner19-OTC.pdf
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, , , , , :
Realistic Image Synthesis of Imperfect Specimens using Generative Networks
9th Conference on Industrial Computed Tomography (iCT 2019) (Padova)
In: Proceedings of the 9th Conference on Industrial Computed Tomography (iCT 2019) 2019
Open Access: https://www.ndt.net/article/ctc2019/papers/iCT2019_Full_paper_33.pdf
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2019/Neufeld19-RIS.pdf
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, , , , :
Field of Interest Proposal for Augmented Mitotic Cell Count: Comparison of Two Convolutional Networks
BIOSTEC/BIOIMAGING 2019 (Prague, February 22, 2019 - February 24, 2019)
In: SciTePress (ed.): Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 2: BIOIMAGING 2019
DOI: 10.5220/0007365700300037
URL: http://www.scitepress.org/PublicationsDetail.aspx?ID=t/vdV3xX7x0=&t=1
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, , , :
Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model
40th German Conference on Pattern Recognition, GCPR 2018 (Stuttgart, DEU, October 9, 2018 - October 12, 2018)
In: Thomas Brox, Mario Fritz, Andrés Bruhn (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019
DOI: 10.1007/978-3-030-12939-2_40
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, , , , , , :
Deep Representation Learning for Orca Call Type Classification
22nd International Conference on Text, Speech, and Dialogue, TSD 2019 (Ljubljana, September 11, 2019 - September 13, 2019)
In: Kamil Ekštein (ed.): Text, Speech, and Dialogue, 22nd International Conference, TSD 2019, Ljubljana, Slovenia, September 11–13, 2019, Proceedings 2019
DOI: 10.1007/978-3-030-27947-9_23
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Deep Learning for Orca Call Type Identification – A Fully Unsupervised Approach
20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019 (Graz, September 15, 2019 - September 19, 2019)
In: Gernot Kubin, Thomas Hain, Bjorn Schuller, Dina El Zarka, Petra Hodl (ed.): Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2019
DOI: 10.21437/Interspeech.2019-1857
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, , , , , :
Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion
40th German Conference on Pattern Recognition, GCPR 2018 (Stuttgart)
DOI: 10.1007/978-3-030-12939-2_35
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, , , , , :
Deep Generalized Max Pooling
2019 International Conference on Document Analysis and Recognition (ICDAR) (Sydney, September 20, 2019 - September 25, 2019)
In: 2019 International Conference on Document Analysis and Recognition (ICDAR) 2019
DOI: 10.1109/ICDAR.2019.00177
URL: https://arxiv.org/abs/1908.05040
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, , , , , :
Automatic Font Group Recognition in Early Printed Books
DHd 2019 (Mainz und Frankfurt, March 25, 2019 - March 29, 2019)
In: Patrick Sahle (ed.): 6. Tagung des Verbands Digital Humanities im deutschsprachigen Raum e.V. 2019
DOI: 10.5281/zenodo.2596095
URL: https://zenodo.org/record/2596095
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, , , , :
Assessment of measurement deviations: length-extended x-ray imaging for orthopedic applications
SPIE: Medical Imaging (San Diego, CA, USA)
In: Medical Imaging 2019: Physics of Medical Imaging 2019
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, , , , :
Detection of Unseen Low-Contrast Signals Using Classic and Novel Model Observers
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_47
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, , , :
Effects of Tissue Material Properties on X-Ray Image, Scatter and Patient Dose A Monte Carlo Simulation
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_60
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Exploring the space between smoothed and non-smooth total variation for 3D iterative CT reconstruction
Medical Imaging 2019: Physics of Medical Imaging (San Diego, CA, February 17, 2019 - February 20, 2019)
In: Hilde Bosmans, Guang-Hong Chen, Taly Gilat Schmidt (ed.): Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2019
DOI: 10.1117/12.2513375
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, , , , , :
Fan-to-Parallel Beam Conversion: Deriving Neural Network Architectures Using Precision Learning
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_9
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, , , , , :
Fast and Robust Detection of Solar Modules in Electroluminescence Images
18th International Conference on Computer Analysis of Images and Patterns (Salerno, September 2, 2019 - September 6, 2019)
In: Springer, Cham (ed.): Computer Analysis of Images and Patterns 2019
DOI: 10.1007/978-3-030-29891-3
URL: https://www.researchgate.net/publication/335361806_Fast_and_Robust_Detection_of_Solar_Modules_in_Electroluminescence_Images
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, , , , , :
Flexible Log File Parsing Using Hidden Markov Models
BibTeX: Download
, :
ICDAR 2019 Competition on Image Retrieval for Historical Handwritten Documents
2019 International Conference on Document Analysis and Recognition (ICDAR) (Sydney, September 20, 2019 - September 25, 2019)
In: 2019 International Conference on Document Analysis and Recognition (ICDAR) 2019
DOI: 10.1109/ICDAR.2019.00242
URL: https://arxiv.org/abs/1912.03713
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, , , , :
Image-based Detection of MRI Hardware Failures
BibTeX: Download
, , , :
Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration
40th German Conference on Pattern Recognition, GCPR 2018 (Stuttgart, October 9, 2018 - October 12, 2018)
In: Thomas Brox, Mario Fritz, Andrés Bruhn (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019
DOI: 10.1007/978-3-030-12939-2_11
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, , , , :
Multidimensional noise reduction in C-arm cone-beam CT via 2D-based Landweber iteration and 3D-based deep neural networks
Medical Imaging 2019: Physics of Medical Imaging (San Diego, CA, February 17, 2019 - February 20, 2019)
In: Hilde Bosmans, Guang-Hong Chen, Taly Gilat Schmidt (ed.): Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2019
DOI: 10.1117/12.2512723
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, , , , , , , , :
Isocenter Determination from Projection Matrices of a C-Arm CBCT
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_61
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, , , :
Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories
22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019 (Shenzhen, CHN, October 13, 2019 - October 17, 2019)
In: Dinggang Shen, Pew-Thian Yap, Tianming Liu, Terry M. Peters, Ali Khan, Lawrence H. Staib, Caroline Essert, Sean Zhou (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019
DOI: 10.1007/978-3-030-32254-0_2
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, , , , , , :
Learning to recognize abnormalities in chest X-rays with location-aware dense networks
23rd Iberoamerican Congress on Pattern Recognition, CIARP 2018 (Madrid, November 19, 2018 - November 22, 2018)
In: Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019
DOI: 10.1007/978-3-030-13469-3_88
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, , , , , :
Left ventricle segmentation in LGE-MRI using multiclass learning
Medical Imaging 2019: Image Processing (San Diego, CA, February 19, 2019 - February 21, 2019)
In: Bennett A. Landman, Elsa D. Angelini, Elsa D. Angelini, Elsa D. Angelini (ed.): Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2019
DOI: 10.1117/12.2511610
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, , , , :
Mammographic breast density classification using a deep neural network: assessment based on inter-observer variability
Conference on Medical Imaging: Image Perception, Observer Performance, and Technology Assessment (San Diego, CA, February 20, 2019 - February 21, 2019)
In: MEDICAL IMAGING 2019: IMAGE PERCEPTION, OBSERVER PERFORMANCE, AND TECHNOLOGY ASSESSMENT, BELLINGHAM: 2019
DOI: 10.1117/12.2513420
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, , , , , , :
Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_29
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, , , , , , , :
Interactive Neural Network Robot User Investigation for Medical Image Segmentation
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_16
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, , , :
A 2D dilated residual U-net for multi-organ segmentation in thoracic CT
2019 SegTHOR Challenge: Segmentation of THoracic Organs at Risk in CT Images, SegTHOR 2019 (Venice, April 10, 2019)
In: Su Ruan, Caroline Petitjean, Bernard Dubray, Bernard Dubray, Zoe Lambert (ed.): CEUR Workshop Proceedings 2019
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, , :
Augmented Mitotic Cell Count Using Field of Interest Proposal
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_71
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, , , :
Dilated Convolutions in Neural Networks for Left Atrial Segmentation in 3D Gadolinium Enhanced-MRI
International Workshop on Statistical Atlases and Computational Models of the Heart
In: STACOM 2018: Statistical Atlases and Computational Models of the Heart. Atrial Segmentation and LV Quantification Challenges 2019
DOI: 10.1007/978-3-030-12029-0_35
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, , :
User Loss A Forced-Choice-Inspired Approach to Train Neural Networks Directly by User Interaction
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_22
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, , , :
Combining Ultrasound and X-Ray Imaging for Mammography: A Prototype Design
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_55
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, , , , :
Analysis by adversarial synthesis - A novel approach for speech vocoding
20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019 (Graz, AUT, September 15, 2019 - September 19, 2019)
In: Gernot Kubin, Thomas Hain, Bjorn Schuller, Dina El Zarka, Petra Hodl (ed.): Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2019
DOI: 10.21437/Interspeech.2019-1195
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, , , , :
Workflow Phase Detection in Fluoroscopic Images Using Convolutional Neural Networks
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_41
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, , , , , , :
Dilated deeply supervised networks for hippocampus segmentation in MRI
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_18
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, , , :
Noise reduction method in low-dose CT data combining neural networks and an iterative reconstruction technique
International Forum on Medical Imaging in Asia 2019 (Singapore, January 7, 2019 - January 9, 2019)
In: Proceedings of SPIE - The International Society for Optical Engineering 2019
DOI: 10.1117/12.2521445
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, , , , , , , :
On C-arm CT imaging with the extended line-ellipse-line trajectory
IEEE Nuclear Science Symposium / Medical Imaging Conference (NSS/MIC) (Manchester, ENGLAND)
In: 2019 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), NEW YORK: 2019
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, , , , , , :
On the Value of the Non-negativity Constraint in CT
IEEE Nuclear Science Symposium / Medical Imaging Conference (NSS/MIC) (Manchester)
In: 2019 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC), NEW YORK: 2019
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, , , , , :
SHAMANN: Shared Memory Augmented Neural Networks
26th International Conference on Information Processing in Medical Imaging, IPMI 2019 (Hong Kong, June 2, 2019 - June 7, 2019)
In: Siqi Bao, Albert C.S. Chung, James C. Gee, Paul A. Yushkevich (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2019
DOI: 10.1007/978-3-030-20351-1_65
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, , , :
Projection image-to-image translation in hybrid x-ray/MR imaging
Medical Imaging 2019: Image Processing (San Diego, CA, February 19, 2019 - February 21, 2019)
In: Bennett A. Landman, Elsa D. Angelini, Elsa D. Angelini, Elsa D. Angelini (ed.): Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2019
DOI: 10.1117/12.2512195
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, , , , , , :
Multi-Modal Super-Resolution with Deep Guided Filtering
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_25
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, , , , , :
Semi-Automatic Cell Correspondence Analysis Using Iterative Point Cloud Registration
Bildverarbeitung für die Medizin 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Handels H., Deserno T., Maier A., Maier-Hein K., Palm C., Tolxdorff T. (ed.): Bildverarbeitung für die Medizin 2019. Informatik aktuell. 2019
DOI: 10.1007/978-3-658-25326-4_26
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, , , , , , , , , :
Smooth Ride: Low-Pass Filtering of Manual Segmentations Improves Consensus
Bildverarbeitung für die Medizin 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Bildverarbeitung für die Medizin 2019 2019
URL: https://link.springer.com/chapter/10.1007/978-3-658-25326-4_21
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, , , , , , , , :
Towards In-Vivo X-Ray Nanoscopy: Acquisition Parameters vs. Image Quality
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_56
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, , , , , :
Transferability of Deep Learning Algorithms for Malignancy Detection in Confocal Laser Endomicroscopy Images from Different Anatomical Locations of the Upper Gastrointestinal Tract
11th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2018 (Funchal, January 19, 2018 - January 21, 2018)
In: Sergi Bermúdez i Badia, Alberto Cliquet, Sheldon Wiebe, Reyer Zwiggelaar, Paul Anderson, Ana Fred, Hugo Gamboa, Giovanni Saggio (ed.): Communications in Computer and Information Science 2019
DOI: 10.1007/978-3-030-29196-9_4
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, , , , , , , , :
U-Net for SPECT Image Denoising
2019 IEEE Nuclear Science Symposium (NSS) and Medical Imaging Conference (MIC) (Manchester, October 26, 2019 - November 2, 2019)
In: IEEE (ed.): 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC) 2019
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, , , , , , :
Respiratory Deformation Estimation in X-Ray-Guided IMRT Using a Bilinear Model
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, DEU, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_70
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, , , , :
3D-Reconstruction of Stiff Wires from a Single Monoplane X-Ray Image
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_37
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, , , , , :
2018
Authored Books
Microscopy
Cham: Springer, 2018
(Lecture Notes in Computer Science book series (LNCS))
ISBN: 978-3-319-96520-8
DOI: 10.1007/978-3-319-96520-8_5
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, , :
System Theory
Cham: Springer, 2018
(Lecture Notes in Computer Science (LNCS))
ISBN: 978-3-319-96519-2
DOI: 10.1007/978-3-319-96520-8_2
BibTeX: Download
, , :
Endoscopy
Cham: Springer, 2018
(Lecture Notes in Computer Science(LNCS), Vol.11111)
ISBN: 978-3-319-96519-2
DOI: 10.1007/978-3-319-96520-8_4
BibTeX: Download
, :
X-ray Imaging
Cham: Springer, 2018
(Lecture Notes in Computer Science(LNCS))
ISBN: 978-3-319-96519-2
DOI: 10.1007/978-3-319-96520-8_7
BibTeX: Download
, , :
Computed Tomography
Cham: Springer, 2018
(Lecture Notes in Computer Science (LNCS))
ISBN: 978-3-319-96520-8
DOI: 10.1007/978-3-319-96520-8_8
BibTeX: Download
, , , , , :
Journal Articles
Towards context-sensitive CT imaging organ-specific image formation for single (SECT) and dual energy computed tomography (DECT)
In: Medical Physics 45 (2018), p. 4541-4557
ISSN: 0094-2405
DOI: 10.1002/mp.13127
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, , , , , , , , , :
Traditional machine learning for limited angle tomography
In: International Journal of Computer Assisted Radiology and Surgery 8/2018 (2018), p. 1-9
ISSN: 1861-6410
DOI: 10.1007/s11548-018-1851-2
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-TML_IJCARS.pdf
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, , , , :
Temporal and Volumetric Denoising via Quantile Sparse Image Prior
In: Medical Image Analysis 48 (2018), p. 131-146
ISSN: 1361-8415
DOI: 10.1016/j.media.2018.06.002
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Schirrmacher18-TAV.pdf
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, , , , , , , , , :
GMM-based Synthetic Samples for Classification of Hyperspectral Images with Limited Training Data
In: IEEE Geoscience and Remote Sensing Letters 15 (2018), p. 942-946
ISSN: 1545-598X
DOI: 10.1109/LGRS.2018.2817361
URL: https://arxiv.org/pdf/1712.04778.pdf
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, , , , :
Deep Learning Computed Tomography: Learning Projection-Domain Weights from Image Domain in Limited Angle Problems
In: IEEE Transactions on Medical Imaging 37 (2018), p. 1454-1463
ISSN: 0278-0062
DOI: 10.1109/TMI.2018.2833499
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Wurfl18-DLC.pdf
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, , , , , , :
Scale-Space Anisotropic Total Variation for Limited Angle Tomography
In: IEEE Transactions on Radiation and Plasma Medical Sciences 2 (2018), p. 307-314
ISSN: 2469-7311
DOI: 10.1109/TRPMS.2018.2824400
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-SAT.pdf
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, , , , , :
Analyzing relative blood flow speeds in choroidal neovascularization using variable interscan time analysis OCT angiography
In: Ophthalmology Retina 2 (2018), p. 306-319
ISSN: 2468-7219
DOI: 10.1016/j.oret.2017.08.013
URL: https://www.sciencedirect.com/science/article/abs/pii/S2468653017303561?via=ihub
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, , , , , , , , , , , , , , , , , :
Towards Intelligent Robust Detection of Anatomical Structures in Incomplete Volumetric Data
In: Medical Image Analysis 1 (2018), p. 203-213
ISSN: 1361-8415
DOI: 10.1016/j.media.2018.06.007
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, , , , , :
Classification With Truncated l1 Distance Kernel
In: IEEE Transactions on Neural Networks 29 (2018), p. 2025-2030
ISSN: 1045-9227
DOI: 10.1109/TNNLS.2017.2668610
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, , , , :
Browsing through sealed historical manuscripts by using 3-D computed tomography with low-brilliance X-ray sources
In: Scientific Reports 8 (2018), p. 15335
ISSN: 2045-2322
DOI: 10.1038/s41598-018-33685-4
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Stromer18-BTS.pdf
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, , , , , , :
Deformable Respiratory Motion Correction for Hepatic Rotational Angiography
In: Computerized Medical Imaging and Graphics 66 (2018), p. 82-89
ISSN: 0895-6111
DOI: 10.1016/j.compmedimag.2018.03.003
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Klugmann18-DRM.pdf
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, , , , :
Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography
In: Journal of Imaging 4 (2018), p. 1-17
ISSN: 2313-433X
DOI: 10.3390/jimaging4110124
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Stimpel18-ACA.pdf
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, , , , , :
Viewpoint Planning for Quantitative Coronary Angiography (IJCARS)
In: International Journal of Computer Assisted Radiology and Surgery 13 (2018), p. 1159-1167
ISSN: 1861-6410
DOI: 10.1007/s11548-018-1763-1
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Preuhs18-VPF1.pdf
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, , , , , , :
An MR-Based Model for Cardio-Respiratory Motion Compensation of Overlays in X-Ray Fluoroscopy
In: IEEE Transactions on Medical Imaging 37 (2018), p. 47-60
ISSN: 0278-0062
DOI: 10.1109/TMI.2017.2723545
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Fischer18-AMM.pdf
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, , , , , , , :
A Survey of Sensors in Healthcare Workflow Monitoring
In: ACM Computing Surveys 51 (2018), Article No.: 42
ISSN: 0360-0300
DOI: 10.1145/3177852
URL: https://dl.acm.org/citation.cfm?id=3177852
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, , , , , , , , , , , , , :
Analysis of Forming Limits in Sheet Metal Forming with Pattern Recognition Methods. Part 2: Unsupervised Methodology and Application
In: Materials 11 (2018), p. 1892
ISSN: 1996-1944
DOI: 10.3390/ma11101892
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, , , :
Ein klinisch anwendbares Neuronales Netzwerk zur Klassifikation suspekter Läsionen in der Mamma-MRT
In: Fortschritte auf dem Gebiete der Röntgenstrahlen 190 (2018), p. WISS 401.2
ISSN: 0367-2239
DOI: 10.1055/s-0038-1641379
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, , , , , , :
Single-breath-hold abdominal T1 mapping using 3D Cartesian Look-Locker with spatiotemporal sparsity constraints
In: Magnetic Resonance Materials in Physics Biology and Medicine (2018), p. 1-16
ISSN: 1352-8661
DOI: 10.1007/s10334-017-0670-8
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Lugauer18-SAT.pdf
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, , , , , , , :
Prior-Free Respiratory Motion Estimation in Rotational Angiography
In: IEEE Transactions on Medical Imaging 37 (2018), p. 1999-2009
ISSN: 0278-0062
DOI: 10.1109/TMI.2018.2806310
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, , , , :
Range Imaging for Motion Compensation in C-Arm Cone-Beam CT of Knees under Weight-Bearing Conditions
In: Journal of Imaging 4 (2018), p. 1-16
ISSN: 2313-433X
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Bier18-RIF.pdf
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, , , , , , :
Material Decomposition Using Ensemble Learning for Spectral X-ray Imaging
In: IEEE Transactions on Radiation and Plasma Medical Sciences 2 (2018), p. 194-204
ISSN: 2469-7311
DOI: 10.1109/TRPMS.2018.2805328
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, , , , , , , :
Geometric primitive refinement for structured light cameras
In: Machine Vision and Applications 29 (2018), p. 313-327
ISSN: 1432-1769
DOI: 10.1007/s00138-017-0901-z
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, , , :
Analysis of Forming Limits in Sheet Metal Forming with Pattern Recognition Methods. Part 1: Characterization of Onset of Necking and Expert Evaluation
In: Materials 11 (2018)
ISSN: 1996-1944
DOI: 10.3390/ma11091495
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, , , :
Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair
In: International Journal of Computer Assisted Radiology and Surgery 13 (2018), p. 1221-1231
ISSN: 1861-6410
DOI: 10.1007/s11548-018-1779-6
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, , , , , :
Book Contributions
Optical Coherence Tomography
In: Andreas MaierStefan SteidlVincent ChristleinJoachim Hornegger (ed.): Medical Imaging Systems, Cham: Springer, 2018, p. 251-261 (Lecture Notes in Computer Science book series (LNCS), Vol.11111)
ISBN: 978-3-319-96520-8
DOI: 10.1007/978-3-319-96520-8_12
URL: https://link.springer.com/chapter/10.1007/978-3-319-96520-8_12
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, , :
System Theory
In: Medical Imaging Systems: An Introductory Guide, Cham: Springer, 2018, p. 13-36 (Lecture Notes in Computer Science (LNCS), Vol.11111)
ISBN: 978-3-319-96519-2
DOI: 10.1007/978-3-319-96520-8_2
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, , :
Technical Tools for the Analysis of High Medieval Papal Charters
In: Papstgeschichte im Digitalen Zeitalter. Neue Zugangsweisen zu einer Kulturgeschichte Europas, Wien: Böhlau Verlag GmbH & Cie, 2018, p. 45-53
ISBN: 978-3-412-50959-0
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, , :
Computed Tomography
In: Medical Imaging Systems, Cham: Springer, 2018, p. 147-189 (Lecture Notes in Computer Science (LNCS), Vol.11111)
ISBN: 978-3-319-96520-8
DOI: 10.1007/978-3-319-96520-8_8
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, , , , , :
Microscopy
In: Medical Imaging Systems: An Introductory Guide, Cham: Springer, 2018, p. 69-90 (Lecture Notes in Computer Science book series (LNCS), Vol.11111)
ISBN: 978-3-319-96520-8
DOI: 10.1007/978-3-319-96520-8_5
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, , :
Edited Volumes
Medical Imaging Systems
Erlangen: 2018
(Lecture Notes in Computer Science book series (LNCS, Vol. 11111)
URL: https://link.springer.com/content/pdf/10.1007/978-3-319-96520-8_1.pdf
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, , , (ed.):
Conference Contributions
Myocardial Scar Segmentation in LGE-MRI using Fractal Analysis and Random Forest Classification
24th International Conference on Pattern Recognition, ICPR 2018 (Beijing, August 20, 2018 - August 24, 2018)
In: Proceedings - International Conference on Pattern Recognition 2018
DOI: 10.1109/ICPR.2018.8545636
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, , , , , :
Left Ventricle Segmentation in LGE-MRI: Filter Based vs. Learning Based
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 (Sydney, NSW, November 10, 2018 - November 17, 2018)
In: 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 - Proceedings 2018
DOI: 10.1109/NSSMIC.2018.8824478
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, , , , , :
Phase-Sensitive Region-of-Interest Computed Tomography
21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 (Granada, September 17, 2018 - September 19, 2018)
In: 21st International Conference on Medical Image Computing and Computer Assisted Intervention 2018
DOI: 10.1007/978-3-030-00928-1_16
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Felsner18-PRC.pdf
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3-D OCT Motion Correction Efficiently Enhanced with OCT Angiography
ARVO Annual Meeting 2018 (Honolulu, HI, April 29, 2018 - May 3, 2018)
In: Investigative Ophthalmology & Visual Science 2018
URL: https://iovs.arvojournals.org/article.aspx?articleid=2694583&resultClick=1
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, , , , , , , , , , , , , :
Fast Sample Generation with Variational Bayesian for Limited Data Hyperspectral Image Classification
IEEE International Geoscience and Remote Sensing Symposium (Valencia, July 22, 2018 - July 27, 2018)
In: IEEE International Geoscience and Remote Sensing Symposium 2018
DOI: 10.1109/IGARSS.2018.8517643
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Davari18-FSG.pdf
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, , , :
Automatic detection of capillary dilation and looping in patients with diabetic retinopathy from optical coherence tomography angiography data
ARVO Annual Meeting 2018 (Honolulu, HI, USA, April 28, 2018 - May 3, 2018)
URL: https://iovs.arvojournals.org/article.aspx?articleid=2694335
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, , , , , , , :
Non-Destructive Digitization of Soiled Historical Chinese Bamboo Scrolls
13th IAPR Workshop on Document Analysis Systems (DAS) (Vienna, Austria, April 24, 2018 - April 27, 2018)
In: 2018 13th IAPR Workshop on Document Analysis Systems (DAS) 2018
DOI: 10.1109/DAS.2018.37
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Stromer18-NDO.pdf
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, , , , , , :
Encoding CNN Activations for Writer Recognition
13th IAPR International Workshop on Document Analysis Systems (DAS) (Vienna, Austria, April 24, 2018 - April 27, 2018)
In: IEEE (ed.): 2018 13th IAPR International Workshop on Document Analysis Systems (DAS) 2018
DOI: 10.1109/DAS.2018.9
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Christlein18-ECA.pdf
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, :
Classification of Breast Cancer Histology Images Using Transfer Learning
International Conference Image Analysis and Recognition (, June 12, 2018)
In: ICIAR 2018: Image Analysis and Recognition 2018
DOI: 10.1007/978-3-319-93000-8_92
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, , , , :
Differential Tomography: Influence of Sensitivity Direction and Noise-suppressing Windows
5th International Conference on Image Formation in X-ray Computed Tomography (CT-Meeting)
In: Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography (CT-Meeting) 2018
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, , :
Papoulis-Gerchberg Algorithms for Limited Angle Tomography Using Data Consistency Conditions
the 5th International Conference on Image Formation in X-ray Computed Tomography (Salt Lake City, Utah, the USA, May 20, 2018 - May 23, 2018)
In: Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography, Salt Lake City, Utah, the USA: 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-PAF.pdf
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, , , , :
Traditional Machine Learning Techniques for Streak Artifact Reduction in Limited Angle Tomography
Bildverarbeitung für die Medizin 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Andreas Maier,Thomas M. Deserno, Heinz Handels, Klaus Hermann Maier-Hein, Christoph Palm,Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2018 Algorithmen - Systeme - Anwendungen, Springer: 2018
DOI: 10.1007/978-3-662-56537-7
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-TML.pdf
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, , , , :
A Joint Probabilistic Model for Speckle Variance, Amplitude Decorrelation and Interframe Variance (IFV) Optical Coherence Tomography Angiography
Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme - Anwendungen (Erlangen, March 11, 2018 - March 13, 2018)
In: Proceedings des Workshops Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme - Anwendungen 2018
DOI: 10.1007/978-3-662-56537-7_37
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Phasenkontrast Röntgen mit 2 Phasengittern und medizinisch relevanten Detektoren
Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme - Anwendungen (Erlangen, March 11, 2018 - March 13, 2018)
In: Proceedings des Workshops Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme - Anwendungen 2018
DOI: 10.1007/978-3-662-56537-7_50
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, , , , , , :
Ideal Seed Point Location Approximation for GrowCut Interactive Image Segmentation
BVM (Erlangen, March 11, 2018 - March 13, 2018)
In: Bildverarbeitung für die Medizin 2018 2018
DOI: 10.1007/978-3-662-56537-7_60
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Amrehn18-ISP.pdf
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, , , , , :
Towards a dual phase grating interferometer on clinical hardware
Medical Imaging 2018: Physics of Medical Imaging
DOI: 10.1117/12.2292811
URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10573/1057321/Towards-a-dual-phase-grating-interferometer-on-clinical-hardware/10.1117/12.2292811.short
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, , , , , , , :
Segmentation of Fat and Fascias in Canine Ultrasound Images
Bildverarbeitung für die Medizin 2018 (BVM 2018) (Hörsäle Medizin Kleiner Hörsaal Ulmenweg 18 91054 Erlangen, March 11, 2018 - March 13, 2018)
DOI: 10.1007/978-3-662-56537-7_69
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Rybakov18-SOF.pdf
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, , , :
Myocardial Twist from X-ray Angiography
Bildverarbeitung für die Medizin 2018 (Erlangen, Bayern, Deutschland, March 11, 2018 - March 13, 2019)
In: Maier A, Deserno Th, Handels H, Maier-Hein K H, Palm C, Tolxdorff Th (ed.): Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme - Anwendungen, Berlin, Heidelberg: 2018
DOI: 10.1007/978-3-662-56537-7
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Geimer18-MTF.pdf
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, , , , :
OCT-OCTA Segmentation
Bildverarbeitung für die Medizin 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Maier, Andreas
Deserno, Thomas Martin
Handels, Heinz
Maier-Hein, Klaus
C., Palm
Tolxdorff, Thomas (ed.): Bildverarbeitung für die Medizin 2018, Berlin: 2018
DOI: 10.1007/978-3-662-56537-7_76
URL: https://link.springer.com/chapter/10.1007/978-3-662-56537-7_76
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, , , , , , , , , , , , , , :
Frangi-Net: A Neural Network Approach to Vessel Segmentation
BildVerarbeitung für die Medizin (BVM) 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): BildVerarbeitung für die Medizin (BVM) 2018, Berlin, Heidelberg: 2018
DOI: 10.1007/978-3-662-56537-7_87
URL: https://arxiv.org/abs/1711.03345
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, , , , , , , :
Efficient Labeling of Optical Coherence Tomography Angiography Data using Eye Tracking
Bildverarbeitung für die Medizin 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Maier, Andreas
Deserno, Thomas Martin
Handels, Heinz
Maier-Hein, Klaus
Palm, Christoph
Tolxdorff, Thomas (ed.): Bildverarbeitung für die Medizin 2018, Berlin, Heidelberg: 2018
DOI: 10.1007/978-3-662-56537-7_17
URL: https://link.springer.com/chapter/10.1007/978-3-662-56537-7_17
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, , , , :
First Approaches Towards Automatic Detection of Microaneurysms in OCTA Images
Bildverarbeitung für die Medizin 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Maier, Andreas
Deserno, Thomas Martin
Handels, Heinz
Maier-Hein, Klaus
Palm, Christoph
Tolxdorff, Thomas (ed.): Bildverarbeitung für die Medizin 2018, Berlin, Heidelberg: 2018
DOI: 10.1007/978-3-662-56537-7_11
URL: https://link.springer.com/chapter/10.1007/978-3-662-56537-7_11
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, , , , , :
Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-Site Robustness Assessment
BIOIMAGING 2018 (Funchal, Madeira, Portugal, January 19, 2018 - January 21, 2018)
In: Sheldon Wiebe, Hugo Gamboa,Ana Fred, Sergi Bermúdez i Badia (ed.): Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) 2018
DOI: 10.5220/0006534700270034
URL: http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006534700270034
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, , , , , , , , :
Accuracy of Fatty Acid Quantification using Bipolar Multi-Echo MRI for Varying Numbers of Echoes
26th Annual Meeting & Exhibition (Paris, France)
In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Schneider18-AOF.pdf
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, , , , , , , :
Dose Reduction for Historical Books Digitization by 3-D X-Ray CT
8th Conference on Industrial Computed Tomography (iCT) 2018 (Wels, Austria)
In: Proceedings of 8th Conference on Industrial Computed Tomography (iCT 2018) 2018
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, , , , , , :
Abstract: Robust Multi-Scale Anatomical Landmark Detection in Incomplete 3D-CT Data
Bildverarbeitung für die Medizin (Erlangen)
In: Informatik Aktuell 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Ghesu18-ARM.pdf
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Abstract: QuaSI - Quantile Sparse Image A Prior for Spatio-Temporal Denoising of Retinal OCT Data
Bildverarbeitung für die Medizin 2018 (Erlangen)
In: Informatik aktuell 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Schirrmacher18-AQQ.pdf
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, , , , , :
Abstract: Automatic Malignancy Estimation for Pulmonary Nodules from CT Images
Bildverarbeitung für die Medizin (Erlangen)
In: Informatik Aktuell 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Mentl18-AAM.pdf
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, , :
A Benchmark for Visual Identification of Defective Solar Cells in Electroluminescence Imagery
35th European Photovoltaic Solar Energy Conference and Exhibition (Brussels, September 24, 2018 - September 28, 2018)
DOI: 10.4229/35thEUPVSEC20182018-5CV.3.15
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, , , , , , , , :
Towards (smart) Full-body X-ray Images
Bildverarbeitung für die Medizin 2018 (Erlangen)
In: Bildverarbeitung für die Medizin 2018. Informatik aktuell, Berlin, Heidelberg: 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Luckner18-T(F.pdf
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, , , :
Towards in-vivo X-ray nanoscopy: The effect of motion on image quality
Workshop on Bildverarbeitung fur die Medizin, 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2018
DOI: 10.1007/978-3-662-56537-7_40
URL: https://link.springer.com/chapter/10.1007/978-3-662-56537-7_40
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, , , , , , , :
Deep Denoising for Hearing Aid Applications
16th International Workshop on Acoustic Signal Enhancement (IWAENC) (Tokyo, JAPAN, September 17, 2018 - September 20, 2018)
In: 2018 16TH INTERNATIONAL WORKSHOP ON ACOUSTIC SIGNAL ENHANCEMENT (IWAENC), NEW YORK: 2018
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Double Your Views: Exploiting Symmetry in Transmission Imaging
Medical Image Computing and Computer Assisted Intervention (Granada, Spain)
In: Medical Image Computing and Computer Assisted Intervention 2018
URL: https://arxiv.org/pdf/1803.10650.pdf
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, , , , , :
Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network
the fifth edition of The International Conference on Image Formation in X-ray Computed Tomography (Salt lake city, US)
In: the fifth edition of The International Conference on Image Formation in X-ray Computed Tomography 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Chen18-TAA.pdf
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, , , , , , , , , :
Classification of Mitotic Cells - Potentials Beyond the Limits of Small Data Sets
Bildverarbeitung für die Medizin 2018 (Erlangen, Germany, March 11, 2018 - March 13, 2018)
In: Bildverarbeitung für die Medizin 2018. Informatik aktuell, Berlin, Heidelberg: 2018
DOI: 10.1007/978-3-662-56537-7_66
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Krappmann18-COM.pdf
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, , , , :
Detecting Anatomical Landmarks for Motion Estimation in Weight-Bearing Imaging of Knees
1st Workshop on Machine Learning for Medical Image Reconstruction (MLMIR) held as part of the 21st Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (Granada, September 16, 2018)
In: MACHINE LEARNING FOR MEDICAL IMAGE RECONSTRUCTION, MLMIR 2018, CHAM: 2018
DOI: 10.1007/978-3-030-00129-2_10
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, , , , , , , :
Deep learning fundamentals
Workshop on Bildverarbeitung fur die Medizin, 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Heinz Handels, Thomas Tolxdorff, Thomas M. Deserno, Klaus H. Maier-Hein, Andreas Maier, Christoph Palm (ed.): Informatik aktuell 2018
DOI: 10.1007/978-3-662-56537-7_5
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, , , :
Deep Learning for Magnetic Resonance Fingerprinting: Accelerating the Reconstruction of Quantitative Relaxation Maps
Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (26th Annual Meeting & Exhibition) (Paris, France)
In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (26th Annual Meeting & Exhibition) 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Hoppe18-DLF.pdf
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, , , , , , , , :
Towards Fast Biomechanical Modeling of Soft Tissue Using Neural Networks
Medical Imaging meets NeurIPS Workshop @ Neural Information Processing Systems (NeurIPS) 2018 (Montreal, Canada, December 8, 2018 - December 8, 2019)
In: Medical Imaging meets NeurIPS Workshop 2018 2018
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, , , , , :
Repeatability and Reproducibility of a New Method for Quantifying Triglyceride Saturation Using Bipolar Multi-Echo MRI
26th Annual Meeting & Exhibition (Paris, France)
In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Schneider18-RAR.pdf
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, , , , , , , :
Context-sensitive organspecific evaluation and analysis of dual energy computed tomography (DECT)
European Congress of Radiology (ECR) (Vienna, Austria)
In: European Congress of Radiology (ECR) 2018
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, , , , , , , , , :
Closing the Calibration Loop: An Inside-Out-Tracking Paradigm for Augmented Reality in Orthopedic Surgery
21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (Granada, September 16, 2018 - September 20, 2018)
In: MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT IV, CHAM: 2018
DOI: 10.1007/978-3-030-00937-3_35
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, , , , , , , , :
Classification of Polyethylene Particles and the Local CD3+ Lymphocytosis in Histological Slice Images
Bildverarbeitung für die Medizin 2018 (Erlangen)
In: Bildverarbeitung für die Medizin 2018. Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 11. bis 13. März 2018 in Erlangen, Springer: 2018
DOI: 10.1007/978-3-662-56537-7_63
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Steffes18-COP.pdf
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, , , , :
Adversarial and Perceptual Refinement for Compressed Sensing MRI Reconstruction
21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (Granada, September 16, 2018 - September 20, 2018)
In: MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT I, CHAM: 2018
DOI: 10.1007/978-3-030-00928-1_27
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, , , , , , , , , , , :
Detecting and Measuring Surface Area of Skin Lesions
Bildverarbeitung für die Medizin 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Bildverarbeitung für die Medizin 2018 2018
DOI: 10.1007/978-3-662-56537-7_20
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Mirzaalian-Dastjerdi18-DAM.pdf
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, , , :
Classification of Body Regions Based on MRI Log Files
Conference on Computer Recognition Systems CORES 2017 (Polanica-Zdrój, Poland, May 22, 2017 - May 24, 2017)
In: Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, Switzerland: 2018
DOI: 10.1007/978-3-319-59162-9
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Kuhnert18-COB.pdf
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, , :
A Hybrid Approach for Virtual Clinical Trials for Mammographic Imaging
14th International Workshop on Breast Imaging (IWBI 2018) (Atlanta, GA, USA, July 8, 2018 - July 11, 2018)
In: Proc. of SPIE 2018
DOI: 10.1117/12.2318452
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, , , , :
Automatic Multi-Organ Segmentation in Dual Energy CT using 3D Fully Convolutional Network
International Conference on Medical Imaging with Deep Learning (Amsterdam)
In: MIDL 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Chen18-AMS.pdf
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, , , , , , :
Projective Invariants for Geometric Calibration in Flat-Panel Computed Tomography
Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) (Salt Lake City, UT, United States)
In: Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Aichert18-PIF.pdf
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, , , :
Patient surface model and internal anatomical landmarks embedding
Bildverarbeitung für die Medizin 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Bildverarbeitung für die Medizin 2018
DOI: 10.1007/978-3-662-56537-7_27
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Zhong18-PSM.pdf
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, , , , , :
Empirical Scatter Correction using the Epipolar Consistency Condition
Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) (Salt Lake City, USA)
In: Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Hoffmann18-ESC.pdf
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, , , , , :
Resolve Intraoperative Brain Shift as Imitation Game
MICCAI Challenge 2018 for Correction of Brainshift with Intra-Operative Ultrasound (CuRIOUS 2018) (Granada conference center)
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Zhong18-RIB.pdf
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Estimation of the Source-Detector Alignment of Cone-Beam X-ray Systems using Collimator Edge Tracking
CT-Meeting (Salt Lake City, USA)
In: Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/LUckner18-EOT.pdf
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, , , :
Fast Epipolar Consistency without the Need for Pseudo Matrix Inverses
CT-Meeting (Salt Lake City, USA)
In: Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Preuhs18-FEC.pdf
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, , :
Towards an analytic model: Describing the effect of scan angle and slice thickness on the in-plane spatial resolution of calcications in digital breast tomosynthesis
14th International Workshop on Breast Imaging (IWBI 2018) (Atlanta, GA, USA)
In: Proc. of SPIE 2018
DOI: 10.1117/12.2318099
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, , , , , :
Fat Content and Fatty Acid Composition Quantification Using a 3D Stack-of-Radial Trajectory With Adaptive Gradient Calibration
26th Annual Meeting & Exhibition (Paris, France)
In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Schneider18-FCA.pdf
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Feasibility of Motion Compensation using Inertial Measurement in C-arm CT
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (Sydney, November 10, 2018 - November 17, 2018)
In: Conference Record of the 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) 2018
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, , , , , , , , , :
Prior-based multi material decomposition (PBMMD) for dual energy CT
the fifth edition of The International Conference on Image Formation in X-ray Computed Tomography (Salt Lake City, US)
In: the fifth edition of The International Conference on Image Formation in X-ray Computed Tomography 2018
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, , , , , , , :
Fourier-based Reduction of Directed Streak Arifacts in Cone-Beam CT
Bildverarbeitung für die Medizin 2018 (Erlangen)
In: Bildverarbeitung für die Medizin 2018 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Gawellek18-FRO.pdf
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, , , :
Gradient-Delay-Compensated Radial MRI for Fat Content and Fatty Acid Composition Quantification
Workshop on Quantitative Body Imaging (New Delhi, India)
In: Proceedings of the ISMRM Workshop on Quantitative Body Imaging 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Schneider18-GRM.pdf
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, , , , , , , :
Hyper-Hue and EMAP on Hyperspectral Images for Supervised Layer Decomposition of Old Master Drawings
International Conference on Image Processing (ICIP) (Athens, Greece, October 7, 2018 - October 10, 2018)
In: International Conference on Image Processing (ICIP) 2018
DOI: 10.1109/ICIP.2018.8451768
URL: http://arxiv.org/abs/1801.09472
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(Techreport)
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Intraoperative brain shift compensation using a hybrid mixture model
International Conference on Medical Image Computing and Computer-Assisted Intervention (Medical Image Computing and Computer Assisted Intervention – MICCAI 2018) (Granada, Spain, September 16, 2018 - September 20, 2018)
In: Springer, Cham (ed.): MICCAI 2018: Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, pp 116-124, Springer 2018
DOI: 10.1007/978-3-030-00931-1
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, , , , , , , :
Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair
CARS 2018---Computer Assisted Radiology and Surgery Proceedings of the 32nd International Congress and Exhibition Berlin, Germany, June 20--23, 2018 (Berlin)
In: CARS 2018---Computer Assisted Radiology and Surgery Proceedings of the 32nd International Congress and Exhibition Berlin, Germany, June 20--23, 2018 2018
DOI: 10.1007/s11548-018-1779-6
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, , , , , :
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests
25th IEEE International Conference on Image Processing, ICIP 2018
DOI: 10.1109/ICIP.2018.8451320
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Sindel18-LFA.pdf
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, , , , , :
Manifold Learning-based Data Sampling for Model Training
Bildverarbeitung für die Medizin 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Informatik-Aktuell, Germany: 2018
DOI: 10.1007/978-3-662-56537-7_70
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Shuqing18-MLD.pdf
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, , , , :
Markerless Coil Classification and Localization in a Routine MRI Examination Setting using an RGB-D Camera
Bildverarbeitung für die Medizin 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Bildverarbeitung für die Medizin 2018
DOI: 10.1007/978-3-662-56537-7_67
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, , :
Handwritten Text Recognition Error Rate Reduction in Historical Documents using Naive Transcribers
DOI: 10.18420/infdh2018-13
URL: https://dl.gi.de/handle/20.500.12116/16993
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, , , , , :
Geometric modeling of the aortic inner and outer vessel wall from CTA for aortic dissection analysis
Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling (Houston, TX, USA, February 12, 2018 - February 15, 2018)
In: Proc. SPIE 2018
DOI: 10.1117/12.2293096
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, , , , :
A Multi-task Framework for Skin Lesion Detection and Segmentation
International Workshop on Skin Image Analysis(ISIC 2018, Held in Conjunction with MICCAI 2018) (Granada, Spain, September 16, 2018 - September 20, 2018)
In: OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis 2018
DOI: 10.1007/978-3-030-01201-4_31
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Vesal18-AMF.pdf
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, , , :
Preliminary Study Investigating Brain Shift Compensation using 3D CBCT Cerebral Vascular Images
Bildverarbeitung für die Medizin 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Bildverarbeitung für die Medizin 2018 2018
DOI: 10.1007/978-3-662-56537-7_48
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Bayer18-PSI.pdf
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, , , , , , , :
Precision Learning: Reconstruction Filter Kernel Discretization
5th International Conference on Image Formation in X-ray Computed Tomography (Salt Lake City, Utha, USA)
In: Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Syben18-PLR.pdf
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, , , , , , :
Viewpoint Planning for Quantitative Coronary Angiography
CARS (Berlin)
In: Computer Assisted Radiology and Surgery Proceedings of the 32nd International Congress and Exhibition, Berlin: 2018
DOI: 10.1007/s11548-018-1766-y
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Preuhs18-VPF.pdf
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, , , , , , :
An anthropomorphic deformable phantom for brain shift simulation
IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (Sydney, Australia)
In: 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) 2018
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Bayer18-AA.pdf
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, , , , , , , , :
A new calibration-free beam hardening reduction method for industrial CT
8th Conference on Industrial Computed Tomography (iCT) 2018 (Wels, Austria)
In: Proceedings of the 8th Conference on Industrial Computed Tomography (iCT) 2018 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Wurfl18-ANC.pdf
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, , , :
A new CT based approach to quantify adipose tissue in paraspinal muscle
BibTeX: Download
, , , , :
Application of deep learning algorithms for Lithographic mask characterization
Computational Optics II 2018 (Frankfurt, May 15, 2018 - May 17, 2018)
In: Daniel G. Smith, Frank Wyrowski, Andreas Erdmann (ed.): Proceedings of SPIE - The International Society for Optical Engineering 2018
DOI: 10.1117/12.2312478
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, , :
A Simulation Study and Experimental Verification of Hand-Eye-Calibration using Monocular X-Ray
Bildverarbeitung für die Medizin 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Informatik aktuell 2018
DOI: 10.1007/978-3-662-56537-7_38
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Dorn18-ASS.pdf
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, , , , , , :
Automated Billing Code Prediction from MRI Log Data
International Society for Magnetic Resonance in Medicine (ISMRM) 26th Annual Meeting & Exhibition (Paris, France, June 16, 2018 - June 21, 2018)
In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB (26th Annual Meeting & Exhibition) 2018
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, , , , , :
Towards Arbitrary Noise Augmentation-Deep Learning for Sampling from Arbitrary Probability Distributions
1st Workshop on Machine Learning for Medical Image Reconstruction (MLMIR) held as part of the 21st Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (Granada, September 16, 2018)
In: MACHINE LEARNING FOR MEDICAL IMAGE RECONSTRUCTION, MLMIR 2018, CHAM: 2018
DOI: 10.1007/978-3-030-00129-2_15
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, , , :
Motion Artifact Detection in Confocal Laser Endomicroscopy Images
Bildverarbeitung für die Medizin 2018 (Erlangen, Germany, March 11, 2018 - March 13, 2018)
In: Bildverarbeitung für die Medizin 2018. Informatik aktuell., Berlin, Heidelberg: 2018
DOI: 10.1007/978-3-662-56537-7_85
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Stoeve18-MAD.pdf
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, , , , , , :
Precision Learning: Towards Use of Known Operators in Neural Networks
24rd International Conference on Pattern Recognition (ICPR) (Beijing, China)
In: 2018 24rd International Conference on Pattern Recognition (ICPR) 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Maier18-PLT.pdf
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, , , , , , :
MR to X-ray Projection Image Synthesis
The 5th International Conference on Image Formation in X-ray Computed Tomography (CT-Meeting) (Salt Lake City, UT, USA)
In: Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography (CT-Meeting) 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Stimpel18-MTX.pdf
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Stereo Rectification for X-ray Data Consistency Conditions
Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) (Salt Lake City, UT, United States)
In: Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) 2018
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, , , , , :
Some Investigations on Robustness of Deep Learning in Limited Angle Tomography
21st International Conference on Medical Image Computing & Computer Assisted Intervention (Granada, Spain)
In: Proceedings of the 21st International Conference on Medical Image Computing & Computer Assisted Intervention 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-SIO.pdf
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, , , , , :
On the Influence of Acquisition Angle and Slice Thickness on the in-plane Spatial Resolution of Calcifications in Digital Breast Tomosynthesis
CT-Meeting (Salt Lake City, USA)
In: Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography 2018
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, , , , , :
SlideRunner - A Tool for Massive Cell Annotations in Whole Slide Images
Bildverarbeitung für die Medizin 2018 (Erlangen, March 11, 2018 - March 13, 2018)
In: Bildverarbeitung für die Medizin 2018 - Algorithmen - Systeme - Anwendungen. Proceedings des Workshops vom 11. bis 13. März 2018 in Erlangen 2018
DOI: 10.1007/978-3-662-56537-7_81
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Aubreville18-S-A.pdf
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, , , :
Organ-specific context-sensitive CT image reconstruction and display
Medical Imaging 2018: Physics of Medical Imaging (Houston, US, February 12, 2018 - February 15, 2018)
In: Proc.SPIE 2018
DOI: 10.1117/12.2291897
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SkinNet: A Deep Learning Framework for Skin Lesion Segmentation
2018 IEEE Nuclear Science Symposium and Medical Imaging (NSS/MIC) (Sydney, Australia)
In: IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Vesal18-SAD.pdf
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, , :
Parallel-Shift Tomosynthesis for Orthopedic Applications
Medical Imaging 2018: Physics of Medical Imaging (Houston, February 12, 2018 - February 15, 2018)
In: Proc. SPIE 2018
DOI: 10.1117/12.2292384
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Luckner18-PTF.pdf
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, , , , :
Physical Constraints for Beam Hardening Reduction using Polynomial Models
Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) (Salt Lake City, USA)
In: Proceedings of the Fifth International Conference on Image Formation in X-Ray Computed Tomography (CT-Meeting) 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Wurfl18-PCF.pdf
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, , , , :
Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning
Joint MICCAI-Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT) (Granada, Spain, September 16, 2018 - September 16, 2018)
In: Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, Springer: 2018
DOI: 10.1007/978-3-030-01364-6_3
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, , , , , , , :
X-ray-transform Invariant Anatomical Landmark Detection for Pelvic Trauma Surgery
21st International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) (Granada, September 16, 2018 - September 20, 2018)
In: MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2018, PT IV, CHAM: 2018
DOI: 10.1007/978-3-030-00937-3_7
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Miscellaneous
The Random Forest Classifier in WEKA: Discussion and New Developments for Imbalanced Data
(2018), p. 1-6
Open Access: https://arxiv.org/pdf/1812.08102.pdf
URL: https://arxiv.org/pdf/1812.08102.pdf
BibTeX: Download
(Techreport)
, , , , :
A 3-D Projection Model for X-ray Dark-field Imaging
(2018), Article No.: arXiv:1811.04457
Open Access: https://arxiv.org/pdf/1811.04457
URL: https://arxiv.org/pdf/1811.04457
BibTeX: Download
(Techreport)
, , , , , :
A Gentle Introduction to Deep Learning in Medical Image Processing
(2018), Article No.: arXiv:1810.05401
Open Access: https://arxiv.org/pdf/1810.05401
URL: https://arxiv.org/pdf/1810.05401
BibTeX: Download
(Techreport)
, , , :
Bridging the Simulated-to-Real Gap: Benchmarking Super-Resolution on Real Data
(2018), Article No.: arXiv:1809.06420
Open Access: https://arxiv.org/pdf/1809.06420
URL: https://arxiv.org/pdf/1809.06420
BibTeX: Download
(Techreport)
, , , , , :
Segmentation of Photovoltaic Module Cells in Electroluminescence Images
(2018)
URL: https://arxiv.org/pdf/1806.06530.pdf
BibTeX: Download
(Techreport)
, , , , :
2017
Journal Articles
The Definition, Rationale, and Effects of Thresholding in OCT Angiography
In: Ophthalmology Retina 1/2017 (2017), p. 435-447
ISSN: 2468-7219
DOI: 10.1016/j.oret.2017.01.019
URL: https://www.sciencedirect.com/science/article/abs/pii/S2468653017300283
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, , , , , , , , , , , , , :
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning
In: Scientific Reports 7 (2017), p. s41598-017
ISSN: 2045-2322
DOI: 10.1038/s41598-017-12320-8
URL: https://www.nature.com/articles/s41598-017-12320-8.pdf
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, , , , , , , , , :
Accurate laser scanner to camera calibration with application to range sensor evaluation
In: IPSJ Transactions on Computer Vision and Applications 9 (2017), p. 21
ISSN: 1882-6695
DOI: 10.1186/s41074-017-0032-5
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, , , :
Comparison of Different Approaches for Measuring Tibial Cartilage Thickness
In: Journal of integrative bioinformatics 14 (2017)
ISSN: 1613-4516
DOI: 10.1515/jib-2017-0015
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, , , , , , , , , :
Automated Detection of Motion Artefacts in MR Imaging Using Decision Forests.
In: Journal of Medical Engineering 2017 (2017), Article No.: 4501647
ISSN: 2314-5129
DOI: 10.1155/2017/4501647
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, , , , , :
Restoration of Missing Data in Limited Angle Tomography Based on Helgason-Ludwig Consistency Conditions
In: Biomedical Physics and Engineering Express 3 (2017), p. 035015
ISSN: 2057-1976
DOI: 10.1088/2057-1976/aa71bf
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Huang17-ROM.pdf
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, , , , , , , :
Optical Coherence Tomography Angiography Characteristics of Iris Melanocytic Tumors
In: Ophthalmology 124 (2017), p. 197-204
ISSN: 0161-6420
DOI: 10.1016/j.ophtha.2016.10.003
URL: https://www.sciencedirect.com/science/article/pii/S0161642016313288#!
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, , , , , , , , , :
Effects of functional endoscopic sinus surgery on the acoustics of the sinonasal tract
In: Rhinology 55 (2017), p. 81-89
ISSN: 0300-0729
DOI: 10.4193/Rhino16.229
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Havel17-EOF.pdf
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, , , , , :
Dynamic 2-D/3-D Rigid Registration Framework Using Point-To-Plane Correspondence Model
In: IEEE Transactions on Medical Imaging 36 (2017), p. 1939-1954
ISSN: 0278-0062
DOI: 10.1109/TMI.2017.2702100
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Wang17-D2R.pdf
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, , , , , , :
Writer Identification Using GMM Supervectors and Exemplar-SVMs
In: Pattern Recognition 63 (2017), p. 258-267
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2016.10.005
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Christlein17-WIU.pdf
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, , , , :
Consistency-based Respiratory Motion Estimation in Rotational Angiography
In: Medical Physics 44 (2017), p. e113-e124
ISSN: 0094-2405
DOI: 10.1002/mp.12021
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, , , :
An Improved Extrapolation Scheme for Truncated CT Data Using 2D Fourier-Based Helgason-Ludwig Consistency Conditions
In: International Journal of Biomedical Imaging 2017 (2017), p. 1-14
ISSN: 1687-4188
DOI: 10.1155/2017/1867025
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Xia17-AIE.pdf
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, , , , , :
Assessing cardiac function from total-variation-regularized 4-D C-arm CT in the presence of angular undersampling
In: Physics in Medicine and Biology 62 (2017), p. 2762
ISSN: 0031-9155
DOI: 10.1088/1361-6560/aa6241
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Taubmann17-ACF.pdf
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, , , , , , :
Automated Detection of Motion Artefacts in MR Imaging Using Decision Forests
In: Journal of Medical Engineering 2017 (2017), p. 1-9
ISSN: 2314-5129
DOI: 10.1155/2017/4501647
URL: http://downloads.hindawi.com/journals/jme/2017/4501647.pdf
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, , , , , :
Rewiring of neuronal networks during synaptic silencing
In: Scientific Reports 7 (2017)
ISSN: 2045-2322
DOI: 10.1038/s41598-017-11729-5
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, , , , , , :
Scatter correction using a primary modulator on a clinical angiography C-arm CT system
In: Medical Physics 44 (2017), p. e125-e137
ISSN: 0094-2405
DOI: 10.1002/mp.12094
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Bier17-SCU.pdf
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, , , , , , , :
Single-breath-hold 3-D CINE imaging of the left ventricle using Cartesian sampling
In: Magnetic Resonance Materials in Physics Biology and Medicine (2017), p. 1-13
ISSN: 1352-8661
DOI: 10.1007/s10334-017-0624-1
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Wetzl17-S3C.pdf
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, , , , , , , :
Rapid Interactive and Intuitive Segmentation of 3D Medical Images Using Radial Basis Function Interpolation
In: Journal of Imaging 3 (2017), p. 1-16
ISSN: 2313-433X
DOI: 10.3390/jimaging3040056
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Kurzendorfer17-RIA.pdf
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, , , , , , :
Symmetry, Outliers, and Geodesics in Coronary Artery Centerline Reconstruction from Rotational Angiography
In: Medical Physics 44 (2017), p. 5672-5685
ISSN: 0094-2405
DOI: 10.1002/mp.12512
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, , , , :
Talbot-Lau X-ray phase contrast for tiling-based acquisitions without reference scanning
In: Medical Physics 44 (2017), p. 1886-1898
ISSN: 0094-2405
DOI: 10.1002/mp.12200
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, , , , , , , , :
Unsupervised Learning for Robust Respiratory Signal Estimation from X-Ray Fluoroscopy
In: IEEE Transactions on Medical Imaging 36 (2017), p. 865-877
ISSN: 0278-0062
DOI: 10.1109/TMI.2016.2609888
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Fischer17-ULF.pdf
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, , , , :
Intraoperative Imaging Modalities and Compensation for Brain Shift in Tumor Resection Surgery
In: International Journal of Biomedical Imaging 2017 (2017), p. 18
ISSN: 1687-4188
DOI: 10.1155/2017/6028645
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Bayer17-IIM.pdf
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, , , :
Long-term Outcome of Speech Intelligibility in Maxillary Dental Rehabilitation with Full Dentures: A Prospective Study Using Automatic Speech Quantification
In: International Journal of Prosthodontics 30 (2017), p. 419-425
ISSN: 0893-2174
DOI: 10.11607/ijp.5239
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, , , , , , , , :
Motion Compensation for Cone-Beam CT using Fourier Consistency Conditions
In: Physics in Medicine and Biology 62 (2017), p. 7181-7215
ISSN: 0031-9155
DOI: 10.1088/1361-6560/aa8129
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Berger17-MCF.pdf
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, , , , , , , , , :
Fully automatic segmentation of left ventricular anatomy in 3-DLGE-MRI
In: Computerized Medical Imaging and Graphics (2017), p. 13-27
ISSN: 0895-6111
DOI: 10.1016/j.compmedimag.2017.05.001
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Kurzendorfer17-FAS.pdf
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, , , , , :
Photoreceptor Layer Thickness Changes During Dark Adaptation Observed With Ultrahigh-Resolution Optical Coherence Tomography
In: Investigative Ophthalmology & Visual Science 58 (2017), p. 4632-4643
ISSN: 0146-0404
DOI: 10.1167/iovs.17-22171
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Book Contributions
Automatic Dating of Historical Documents
In: Kodikologie und Paläographie im digitalen Zeitalter, Norderstedt: BoD, 2017, p. 151-164 (Schriften des Instituts für Dokumentologie und Editorik, Vol.11)
ISBN: 978-3-7448-3877-1
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, , :
Conference Contributions
Generation of synthetic Image Data for the Evaluation of Brain Shift Compensation Methods
3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie (Magdeburg, April 6, 2017 - April 7, 2017)
In: 3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Bayer17-GOS.pdf
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, , , :
Estimation of femoral artery access location for anatomic deformation correction
3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie (Magdeburg, November 6, 2017 - November 7, 2017)
In: 3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie 2017
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, , , , :
Robust Seed Mask Generation for Interactive Image Segmentation
IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (Atlanta, Georgia, October 21, 2017 - October 28, 2017)
In: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Amrehn17-RSM.pdf
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, , , :
Simultaneous Generation of X-ray and Range Images using XCAT under Motion
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) (Atlanta, Georgia, October 21, 2017 - November 28, 2017)
Open Access: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Rybakov17-SGO.pdf
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Rybakov17-SGO.pdf
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, , , , :
A Guided Spatial Transformer Network for Histology Cell Differentiation
Eurographics Workshop on Visual Computing for Biology and Medicine (Bremen, September 7, 2017 - September 8, 2017)
In: Stefan Bruckner, Anja Hennemuth, Bernhard Kainz, Ingrid Hotz, Dorit Merhof and Christian Rieder (ed.): Eurographics Workshop on Visual Computing for Biology and Medicine 2017
DOI: 10.2312/vcbm.20171233
URL: https://arxiv.org/pdf/1707.08525.pdf
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, , , :
UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model
Eurographics Workshop on Visual Computing for Biology and Medicine (Bremen, September 7, 2017 - September 8, 2017)
In: EG VCBM 2017, Goslar, Germany: 2017
DOI: 10.2312/vcbm.20171248
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Amrehn17-UIA.pdf
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, , , , , , , , :
GMM Supervectors for Limited Training Data in Hyperspectral Remote Sensing Image Classification
17th International Conference on Computer Analysis of Images and Patterns (Ystad, August 22, 2017 - August 24, 2017)
In: Proceedings of the 17th International Conference on Computer Analysis of Images and Patterns Part II 2017
DOI: 10.1007/978-3-319-64698-5_25
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, , , , :
Fast and robust selection of highly-correlated features in regression problems
International Conference on Machine Vision Applications (Nagoya University, Nagoya, Japan, May 8, 2017 - May 12, 2017)
In: 2017 Fifteenth IAPR International Conference on Machine Vision Applications (MVA) 2017
DOI: 10.23919/MVA.2017.7986905
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Dalia17-IARP.pdf
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, :
SIFT Key-Points for Lung Tumor Detection in PET/CT Images
Medical Image Understanding and Analysis (MIUA) (Edinburgh)
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Nitschke17-SKF-talk.pdf
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, , , , :
Streak Artifact Reduction in Limited Angle Tomography Using Machine Learning
3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie (Magdeburg, Germany, November 6, 2017 - November 7, 2017)
In: 3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Huang17-SAR.pdf
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, , , , :
Hybrid OCT-OCTA Vessel Visualization for Projection-Free Display of the Intermediate and Deep Retinal Plexuses
ARVO Annual Meeting 2017 (Baltimore, MD, USA, May 7, 2017 - May 11, 2017)
In: Investigative Ophthalmology & Visual Science 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Ploner17-HOV.pdf
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, , , , , , , , , , :
Flow Void Analysis: Multiscale Quantitation and Visualization of Choriocapillaris Alterations in Age-Related Macular Degeneration Using OCT Angiography
ARVO Annual Meeting 2017 (Baltimore, MD, USA, May 7, 2017 - May 11, 2017)
In: Investigative Ophthalmology & Visual Science 2017
Open Access: https://iovs.arvojournals.org/article.aspx?articleid=2637739&resultClick=1
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Alibhai17-FVA.pdf
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, , , , , , , , , , , , :
Smoothed and Resolved Thresholding (SmaRT-) Display: A New OCTA Display Technique to Resolve the Low Flow Ambiguity
ARVO Annual Meeting 2017 (Baltimore, MD, USA, May 7, 2017 - May 11, 2017)
In: Investigative Ophthalmology & Visual Science 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Yiu17-SAR.pdf
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, , , , , , , , , :
Restoration of Missing Data in Limited Angle Tomography Based on Consistency Conditions
The 14th International Meeting on Fully Three‐Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Xi'an, China, June 18, 2017 - June 23, 2017)
In: Ge Wang and Xuanqin Mou (ed.): The 14th International Meeting on Fully Three‐Dimensional Image Reconstruction in Radiology and Nuclear Medicine 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Huang17-ROM.pdf
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, , , , , :
Distance error correction for time-of-flight cameras
Automated Visual Inspection and Machine Vision II
DOI: 10.1117/12.2271775
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, , , :
OCT-OCTA Segmentation: a Novel Framework and an Application to Segment Bruch's Membrane in the Presence of Drusen
ARVO Annual Meeting 2017 (Baltimore, MD, USA, May 7, 2017 - May 11, 2017)
In: Investigative Ophthalmology & Visual Science 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Schottenhamml17-OSA.pdf
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, , , , , , , , , , , , , , :
Parallel Variable Interscan Time Analysis (VISTA) OCTA and en Face Doppler OCT of Optic Disc and Peripapillary Vasculature
ARVO Annual Meeting 2017 (Baltimore, MD, USA, May 7, 2017 - May 11, 2017)
In: Investigative Ophthalmology & Visual Science 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Lee17-PVI.pdf
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, , , , , , , , , , , , :
Visualizing microvascular flow variation in OCTA using variable interscan time analysis (VISTA)
SPIE BiOS (San Francisco, CA, USA, January 28, 2017 - February 2, 2017)
In: Proc. SPIE 10053, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI 2017
DOI: 10.1117/12.2254845
URL: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10053/1/Visualizing-microvascular-flow-variation-in-OCTA-using-variable-interscan-time/10.1117/12.2254845.full?SSO=1
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, , , , , , , , , , , , , :
Polychromatic Maximum Likelihood Reconstruction for Talbot-Lau X-ray Tomography
International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D)
In: International Conference on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D) 2017
Open Access: http://onlinelibrary.fully3d.org/papers/2017/Fully3D.2017-11-3107001.pdf
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Schiffers17-PML.pdf
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Towards quantification of kidney stones using X-ray dark-field tomography
IEEE International Symposium on Biomedical Imaging (Melbourne, April 18, 2017 - April 21, 2017)
In: 14th IEEE International Symposium on Biomedical Imaging 2017
DOI: 10.1109/ISBI.2017.7950711
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Towards cartilage diagnosis in X-ray phase-contrast interferometry
IEEE International Symposium on Biomedical Imaging (Melbourne, April 18, 2017 - April 21, 2017)
In: 14th IEEE International Symposium on Biomedical Imaging 2017
DOI: 10.1109/ISBI.2017.7950586
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A Kernel-based Framework for Intra-fractional Respiratory Motion Estimation in Radiation Therapy
2017 IEEE International Symposium on Biomedical Imaging (Melbourne, Australia, April 18, 2017 - April 21, 2017)
In: Proceedings of the 2017 IEEE International Symposium on Biomedical Imaging 2017
DOI: 10.1109/ISBI.2017.7950693
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Geimer17-AKF.pdf
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Real-Time-Capable GPU-Framework for Depth-Aware Rigid 2D/3D Registration
Bildverarbeitung für die Medizin 2017 (Heidelberg, March 12, 2017 - March 14, 2017)
In: Bildverarbeitung für die Medizin 2017, Berlin: 2017
DOI: 10.1007/978-3-662-54345-0_43
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Utzschneider17-RGF.pdf
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, , , , :
Overexposure Correction by Mixed One-bit Compressive Sensing for C-Arm CT
Bildverarbeitung für die Medizin 2017 (Heidelberg, March 12, 2017 - March 14, 2017)
In: Klaus Hermann Maier-Hein, geb. Fritzsche, Thomas Martin Deserno, geb. Lehmann, Heinz Handels,Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin: Algorithmen-Systeme-Anwendungen, Berlin: 2017
DOI: 10.1007/978-3-662-54345-0
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Huang17-OCB.pdf
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, , , , :
A Kernel Ridge Regression Model for Respiratory Motion Estimation in Radiotherapy
Bildverarbeitung für die Medizin 2017 (Heidelberg, March 12, 2017 - March 14, 2017)
In: Maier-Hein K H, Deserno Th, Handels H, Tolxdorff Th (ed.): Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme - Anwendungen, Heidelberg, Berlin: 2017
DOI: 10.1007/978-3-662-54345-0_38
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Geimer17-AKR.pdf
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, , , , , :
Automatic thrombus detection in non-enhanced computed tomography images in patients with acute ischemic stroke
Eurographics Workshop on Visual Computing for Biology and Medicine (2017) (Bremen, Deutschland)
In: Eurographics Proceedings 2017 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Loeber17-ATD.pdf
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Deep Learning-based Inpainting for Virtual DSA
IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (Hyatt Regency, Atlanta, Georgia, October 21, 2017 - October 28, 2017)
In: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Unberath17-DLI.pdf
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Automatic Classification and Pathological Staging of Confocal Laser Endomicroscopic Images of the Vocal Cords
Bildverarbeitung für die Medizin 2017 (Heidelberg, March 12, 2017 - March 14, 2017)
In: Bildverarbeitung für die Medizin 2017 Algorithmen Systeme Anwendungen, Heidelberg: 2017
DOI: 10.1007/978-3-662-54345-0_70
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Vo17-ACA.pdf
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, , , , :
Automated Left Ventricle Segmentation in 2-D LGE-MRI
2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI) (Melbourne, April 18, 2017 - April 21, 2017)
In: Proceedings of the 2017 IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2017
DOI: 10.1109/ISBI.2017.7950646
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Kurzendorfer17-ALV.pdf
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, , , :
Automated Coronary Artery Ostia Detection in Magnetic Resonance Angiography
25th Annual Meeting & Exhibition (Honolulu, HI, USA)
In: Proceedings of the 25th Annual Meeting of the ISMRM 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Stimpel17-ACA.pdf
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A Feasibility Study of Automatic Multi-Organ Segmentation Using Probabilistic Atlas
Bildverarbeitung für die Medizin 2017 (Heidelberg, March 12, 2017 - March 14, 2017)
In: Bildverarbeitung für die Medizin: Algorithmen-Systeme-Anwendungen. 2017
DOI: 10.1007/978-3-662-54345-0_50
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Chen17-AFS.pdf
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, , , , , , :
A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction
Bildverarbeitung für die Medizin (BVM) (Heidelberg, March 12, 2017 - March 14, 2017)
In: Proc. Bildverarbeitung für die Medizin (BVM) 2017, Springer: 2017
DOI: 10.1007/978-3-662-54345-0_25
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Hammernik17-ADL.pdf
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, , , :
Automatic Vertebrae Segmentation in Fluoroscopic Images for Electrophysiology
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) (Atlanta)
In: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Reiml17-AVS.pdf
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3-D Reconstruction of Iron Gall Ink Writings
7th Conference on Industrial Computed Tomography (iCT 2017) (Leuven (Belgium))
In: Proceedings of 7th Conference on Industrial Computed Tomography (iCT 2017) 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Stromer17-3RO.pdf
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, , , :
Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series
62. Jahrestagung der GMDS (Oldenburg, September 17, 2017 - September 21, 2017)
In: German Medical Data Sciences: Visions and Bridges, IOS Press: 2017
DOI: 10.3233/978-1-61499-808-2-202
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Hoppe17-DLF.pdf
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Feasibility Study: 2-D Self-Navigation using Compressed Sensing Reconstruction for Respiratory Gating in Free-breathing 3-D CINE Imaging
25th Annual Meeting & Exhibition (Honolulu, HI, USA)
In: Proceedings of the 25th Annual Meeting of the ISMRM 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Prochaska17-FS2.pdf
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Free-Breathing Self-Navigated Isotropic 3-D CINE Imaging of the Whole Heart using Adaptive Triggering and Retrospective Gating
25th Annual Meeting & Exhibition (Honolulu, HI, USA)
In: Proceedings of the 25th Annual Meeting of the ISMRM 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Wetzl17-FSI.pdf
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, , , , , :
Fast, Robust and Efficient Extraction of Book Pages from a 3-D X-ray CT Volume
Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Xi'an, Shaanxi, China)
In: Proceedings of the 14th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Stromer17-FRA.pdf
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, , , , :
Epipolar consistency conditions for motion correction in weight-bearing imaging
Bildverarbeitung für die Medizin 2017 Algorithmen Systeme Anwendungen (Bildverarbeitung für die Medizin 2017) (Heidelberg, March 12, 2017 - March 14, 2017)
DOI: 10.1007/978-3-662-54345-0_47
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, , , , , , , :
Epipolar Consistency Guided Beam Hardening Reduction - ECC²
14th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Xi'an, Shaanxi, China)
In: Proceedings of the 14th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine 2017
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Wurfl17-ECCsquaredFully3D.pdf
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, , , , :
Fourier Consistency-Based Motion Estimation in Rotational Angiography
Bildverarbeitung für die Medizin 2017 (Heilderberg, GER, March 12, 2017 - March 14, 2017)
In: Proc. Bildverarbeitung für die Medizin (BVM) 2017, Heidelberg: 2017
DOI: 10.1007/978-3-662-54345-0_28
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Unberath17-FCM.pdf
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, , , :
Fan-beam Projection Image Acquisition using MRI
3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie (Magdeburg)
In: 3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie 2017
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, , , , :
Fast Pose Verification for High-Speed Radiation Therapy
Bildverarbeitung für die Medizin 2017 (Heidelberg, March 12, 2017 - March 14, 2017)
In: Bildverarbeitung für die Medizin 2017: Algorithmen - Systeme - Anwendungen, Heidelberg: 2017
DOI: 10.1007/978-3-662-54345-0_27
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Maier17-FPV.pdf
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Background Matters: A Correction Scheme for Dynamic Iterative CBCT with Limited Grid Size
14th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Xi'an, China)
In: Proceedings of Fully3D'17 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Taubmann17-BMA.pdf
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, , , :
Browsing Through Closed Books: Evaluation of Pre-processing Methods for Page Extraction of a 3-D CT Book Volume
2017 2nd International Conference on Advanced Materials Research and Manufacturing Technologies (AMRMT 2017) (Phuket, Thailand)
In: Proceedings of the 2nd International Conference on Advanced Materials Research and Manufacturing Technologies 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Stromer17-BTC.pdf
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, , , , :
Random Forest Based Left Ventricle Segmentation in LGE-MRI
International Conference on Functional Imaging and Modeling of the Heart (FIMH) (Toronto, June 11, 2017 - June 13, 2017)
In: Functional Imaging and Modelling of the Heart 2017
DOI: 10.1007/978-3-319-59448-4_15
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Kurzendorfer17-RFB.pdf
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, , , :
QuaSI: Quantile Sparse Image Prior for Spatio-Temporal Denoising of Retinal OCT Data
Medical Image Computing and Computer-Assisted Intervention (Quebec City, QC, Canada, September 11, 2017 - September 13, 2017)
In: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2017, Proceedings, Part II 2017
DOI: 10.1007/978-3-319-66185-8_10
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Schirrmacher17-QQS.pdf
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Growing a Random Forest with Fuzzy Spatial Features for Fully Automatic Artery-Specific Coronary Calcium Scoring
8th International Workshop MICCAI-MLMI 2017 (Québec City, QC, Canada)
In: Machine Learning in Medical Imaging, Berlin: 2017
DOI: 10.1007/978-3-319-67389-9
URL: https://link.springer.com/chapter/10.1007/978-3-319-67389-9_4
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, , , , , :
Improving the Noise Propagation Behavior of Different Fatty Acid Quantification Techniques using Spectral Denoising
ISMRM 25th Annual Meeting & Exhibition (Honolulu)
In: Proceedings of the 25th Annual Meeting of the ISMRM 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Schneider17-ITN.pdf
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, , , , , , :
Joint Calibration and Motion Estimation in Weight-Bearing Cone-Beam CT of the Knee Joint using Fiducial Markers
2017 IEEE International Symposium on Biomedical Imaging (Melbourne, April 18, 2017 - April 21, 2017)
In: Proceedings of the 2017 IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2017
DOI: 10.1109/ISBI.2017.7950568
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Syben17-JCA.pdf
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3-D LGE-MRI Segmentation using a Random Forest Classifier and Dynamic Programming
34th Annual Scientific Meeting of ESMRMB (Barcelona)
In: ESMRMB 2017, 34th Annual Scientific Meeting 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Kurzendorfer17-3LS.pdf
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, , , , , , :
Lesion Ground Truth Estimation for a Physical Breast Phantom
Workshop Bildverarbeitung für die Medizin 2017 (Heidelberg, March 12, 2017 - March 14, 2017)
In: Bildverarbeitung für die Medizin 2017 - Algorithmen, Systeme, Anwendungen 2017
DOI: 10.1007/978-3-662-54345-0_55
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Hanif17-LGT.pdf
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, , , , , :
Material Decomposition Using Ensemble Learning for Energy-Resolved Computed Tomography
14th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Xi'an, Shaanxi, China)
In: Proceedings of Fully3D'17 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Lu17-MDU.pdf
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, , , , , :
Fusing Motion Estimates for CBCT Reconstruction
IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (Atlanta)
In: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Bier17-FME.pdf
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, , , , , , :
Medical Monkeys: A Crowdsourcing Approach to Medical Big Data
Confederated International Workshops, EI2N, FBM, ICSP, Meta4eS, OTMA 2017 and ODBASE Posters 2017 (Rhodes, Greece)
In: On the Move to Meaningful Internet Systems. OTM 2017 Workshops, Cham: 2017
DOI: 10.1007/978-3-319-73805-5_9
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Servadei17-MMA.pdf
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, , , :
Motion Estimation in Rotational Angiography with alpha–Expansion Moves
IEEE Nuclear Science Symposium and Medical Imaging Conference (Atlanta, October 21, 2017 - October 28, 2017)
BibTeX: Download
, , , :
Multi-View Depth-Aware Rigid 2-D/3-D Registration
IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (Atlanta, Georgia, USA)
In: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Schaffert17-MDR.pdf
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Noise Reduction In Low-Dose CT Using a 3D Multiscale Sparse Denoising Autoencoder
Machine Learning for Signal Processing (MLSP) (Tokyo, Japan)
In: 2017 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Mentl17-NRI.pdf
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Organ-specific context-sensitive single and dual energy CT (DECT) image reconstruction, display and analysis
RSNA 2017 (Chicago , USA)
In: n 103rd Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA) 2017
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Parametric LV Model Fitting to Coronary Arteries
2017 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (Hyatt Regency, Atlanta, Georgia, October 21, 2017 - October 28, 2017)
In: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Geimer17-PLM.pdf
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, , , :
Quantitative bias for SPECT imaging in kidneys due to respiratory motion - a simulation study
Deutsche Gesellschaft für Nukearmedizin Jahrestagung 2017 (Dresden, Germany)
In: Kongressausgabe 56. Jahrestagung der Deutschen Gesellschaft für Nuklearmedizin, Schattauer: 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Sanders17-QBF.pdf
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, , , , :
Quantitative Bias from Respiratory Motion and Finite System Resolution for SPECT Imaging of Kidneys A Simulation Study
Society of Nuclear Medicine and Molecular Imaging 2017 Annual Meeting (Denver, CO, USA)
In: Journal of Nuclear Medicine (Supplement 1) 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Sanders17-QBF.pdf
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, , , , :
Motion Compensation using Range Imaging in C-arm Cone-Beam CT
Medical Image Understanding and Analysis (21st Annual Conference, MIUA 2017) (Edinburgh, July 11, 2017 - July 13, 2017)
In: Medical Image Understanding and Analysis 2017
DOI: 10.1007/978-3-319-60964-5_49
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Bier17-MCU.pdf
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, , , , , , , :
Radial Basis Function Interpolation for Rapid Interactive Segmentation of 3-D Medical Images
Annual Conference on Medical Image Understanding and Analysis (Edinburgh, July 11, 2017 - July 13, 2017)
In: MIUA 2017: Medical Image Understanding and Analysis 2017
DOI: 10.1007/978-3-319-60964-5_57
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Mirshazadeh17-RBF.pdf
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, , , , , , :
Brain Parenchyma and Vessel Separation in 3D Digital Subtraction Angiography Images
Proceedings des Workshops vom 12. bis 14. März 2017 in Heidelberg (Heidelberg)
In: Bildverarbeitung für die Medizin: Algorithmen-Systeme-Anwendungen. 2017
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Spatio-temporally Regularized 4-D Cardiovascular C-arm CT Reconstruction Using a Proximal Algorithm
2017 IEEE International Symposium on Biomedical Imaging (Melbourne, Australia, April 18, 2017 - April 21, 2017)
In: Proceedings of the 2017 IEEE International Symposium on Biomedical Imaging 2017
DOI: 10.1109/ISBI.2017.7950466
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Taubmann17-SR4.pdf
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, , , , :
Unsupervised Feature Learning for Writer Identification and Writer Retrieval
14th IAPR International Conference on Document Analysis and Recognition (ICDAR) (Kyoto, Japan)
In: 2017 14th IAPR International Conference on Document Analysis and Recognition (ICDAR) 2017
DOI: 10.1109/ICDAR.2017.165
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Christlein17-UFL.pdf
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, , , :
Browsing Through Closed Books: Fully Automatic Book Page Extraction from a 3-D X-ray CT Volume
2017 14th IAPR International Conference on Document Analysis and Recognition (Kyoto, Japan)
In: The 14th IAPR International Conference on Document Analysis and Recognition 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Stromer17-BTC.pdf
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, , , , :
Comparison of Default Patient Surface Model Estimation Methods
Bildverarbeitung für die Medizin 2017 (Heidelberg, March 12, 2017 - March 14, 2017)
In: Bildverarbeitung für die Medizin: Algorithmen - Systeme - Anwendungen 2017
DOI: 10.1007/978-3-662-54345-0_64
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Zhong17-COD.pdf
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, , , , :
Automatic Layer Generation for Scar Transmurality Visualization
Bildverarbeitung für die Medizin 2017 (Heidelberg, March 12, 2017 - March 14, 2017)
In: Bildverarbeitung für die Medizin 2017 2017
DOI: 10.1007/978-3-662-54345-0
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Reiml17-ALG.pdf
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Fully Automatic Segmentation of Papillary Muscles in 3-D LGE-MRI
Bildverarbeitung für die Medizin 2017 (Heidelberg)
In: Bildverarbeitung für die Medizin 2017 2017
DOI: 10.1007/978-3-662-54345-0
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Kurzendorfer17-FASP.pdf
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, , , , , :
Layered X-ray Motion Estimation using Primal-Dual Optimization
Bildverarbeitung für die Medizin 2017 (Heidelberg, March 12, 2017 - March 14, 2017)
In: Informatik aktuell, Springer: 2017
DOI: 10.1007/978-3-662-54345-0_22
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Mehmood17-LXM.pdf
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, , , , :
Generation of Personalized Computational Phantoms Using Only Patient Metadata
IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (Atlanta, Georgia, USA)
In: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Zhong17-GOP.pdf
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, , , , , :
Respiratory Motion Compensation in Rotational Angiography: Graphical Model-Based Optimization of Auto-Focus Measures
IEEE International Symposium on Biomedical Imaging (Melbourne, April 18, 2017 - April 21, 2017)
In: IEEE International Symposium on Biomedical Imaging, Proceedings of the 2017
DOI: 10.1109/ISBI.2017.7950507
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Unberath17-RMC.pdf
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Robust Multi-Scale Anatomical Landmark Detection in Incomplete 3D-CT Data
MICCAI (Quebec, Canada, September 11, 2017 - September 13, 2017)
In: Medical Image Computing and Computer-Assisted Intervention MICCAI 2017 2017
DOI: 10.1007/978-3-319-66182-7_23
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Ghesu17-RMA.pdf
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Variable Interscan Time Analysis (VISTA-) Optical Coherence Tomography Angiography (OCTA) of Blood Flow Speeds in Eyes with Diabetic Retinopathy
ARVO Annual Meeting 2017 (Baltimore, MD, USA, May 7, 2017 - May 11, 2017)
In: Investigative Ophthalmology & Visual Science, ARVO: 2017
URL: https://iovs.arvojournals.org/article.aspx?articleid=2637998&resultClick=1
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Robust Non-Rigid Registration through Agent-Based Action Learning
MICCAI (Quebec, Canada, September 11, 2017 - September 13, 2017)
In: Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017 2017
DOI: 10.1007/978-3-319-66182-7_40
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, , , , , , , , , :
Semi-Automatic Algorithm for Breast MRI Lesion Segmentation Using Marker-Controlled Watershed Transformation
IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) (Atlanta, Georgia, USA)
In: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Vesal17-SAF.pdf
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, , , , , :
Sheet metal forming limits as classification problem
Machine Vision Applications (Nagoya, May 8, 2017 - May 12, 2017)
In: Proceedings of the 15th IAPR International Conference on Machine Vision Applications 2017
DOI: 10.23919/MVA.2017.7986814
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Jaremenko17-SMF.pdf
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Single Breath-Hold Abdominal T1 Mapping Using 3-D Cartesian Sampling and Spatiotemporally Constrained Reconstruction
Proceedings of the 25th Annual Meeting of the ISMRM (ISMRM 2017) (Honolulu, HI, USA)
In: Proceedings of the 25th Annual Meeting of the ISMRM (ISMRM 2017) 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Lugauer17-SBA.pdf
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Surface Registration to Estimate Motion in CBCT
IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (Atlanta, October 21, 2017 - October 28, 2017)
In: 2017 IEEE Nuclear Science Symposium and Medical Imaging Conference Record (NSS/MIC) 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Bier17-SRT.pdf
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Towards Optimal Channels for a Detection Channelized Hotelling Observer
IGIC 2017 (Magdeburg)
In: 3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie 2017
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, :
Towards Understanding Preservation of Periodic Object Motion in Computed Tomography
Bildverarbeitung für die Medizin 2017 (DKFZ, Heidelberg, March 12, 2017 - March 14, 2017)
In: Bildverarbeitung für die Medizin 2017, Springer Vieweg: 2017
DOI: 10.1007/978-3-662-54345-0
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Schirrmacher17-TUP.pdf
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, , , :
Tutorial: Deep Learning - Advancing the State-of-the-Art in Medical Image Analysis
Bildverarbeitung für die Medizin 2017 (Heidelberg, March 12, 2017 - March 14, 2017)
In: Bildverarbeitung für die Medizin 2017 2017
DOI: 10.1007/978-3-662-54345-0
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/bvm17_dltut.pdf
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, , , , , , :
Self-Calibration and Simultaneous Motion Estimation for C-arm CT using Fiducial Markers
Bildverarbeitung für die Medizin (Heidelberg, March 12, 2017 - March 14, 2017)
In: Bildverarbeitung für die Medizin 2017: Algorithmen - Systeme - Anwendungen., Springer: 2017
DOI: 10.1007/978-3-662-54345-0
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Syben17-SAS.pdf
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2-D Interactive Scar Layer Visualization
3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie (Magdeburg)
In: IGIC 2017 - Abstract Book 2017
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Kurzendorfer17-2IS.pdf
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Miscellaneous
Image Registration for the Alignment of Digitized Historical Documents
abs/1712.04482 (2017)
Open Access: https://arxiv.org/abs/1712.04482
URL: http://arxiv.org/abs/1712.04482
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(Techreport)
, , , , , :
Benchmarking Super-Resolution Algorithms on Real Data
abs/1709.04881 (2017)
Open Access: https://arxiv.org/abs/1709.04881
URL: http://arxiv.org/abs/1709.04881
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(Techreport)
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2016
Journal Articles
Toward Quantitative Optical Coherence Tomography Angiography: Visualizing Blood Flow Speeds in Ocular Pathology Using Variable Interscan Time Analysis
In: Retina (Philadelphia, Pa.) 32 (2016), p. S118-S126
ISSN: 1539-2864
DOI: 10.1097/IAE.0000000000001328
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Kinect-Based Correction of Overexposure Artifacts in Knee Imaging with C-Arm CT Systems
In: International Journal of Biomedical Imaging 2016 (2016), p. 2502486:1-15
ISSN: 1687-4188
DOI: 10.1155/2016/2502486
URL: http://downloads.hindawi.com/journals/ijbi/2016/2502486.pdf
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, , , , , , , , , :
Real-Time Respiratory Motion Analysis Using 4-D Shape Priors
In: IEEE Transactions on Biomedical Engineering 63 (2016), p. 485-495
ISSN: 0018-9294
DOI: 10.1109/TBME.2015.2463769
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Coping with Real World Data: Artifact Reduction and Denoising for Motion-Compensated Cardiac C-arm CT
In: Medical Physics 43 (2016), p. 883-893
ISSN: 0094-2405
DOI: 10.1118/1.4939878
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Taubmann16-CWR.pdf
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Development and validation of a classification and scoring system for the diagnosis of oral squamous cell carcinomas through confocal laser endomicroscopy
In: Journal of Translational Medicine 14 (2016), p. 159
ISSN: 1479-5876
DOI: 10.1186/s12967-016-0919-4
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Contrast-based 3-D/2-D Registration of the Left Atrium: Fast vs. Consistent
In: International Journal of Biomedical Imaging 2016 (2016), p. 1-15
ISSN: 1687-4188
DOI: 10.1155/2016/7690391
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Hoffmann16-C3R.pdf
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, , , , , :
Cryo-Balloon Catheter Localization Based on a Support-Vector-Machine Approach
In: IEEE Transactions on Medical Imaging 35 (2016), p. 1892-1902
ISSN: 0278-0062
DOI: 10.1109/TMI.2016.2537052
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Kurzendorfer16-CCL.pdf
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, , , , :
Contrast-based 3D/2D registration of the left atrium: Fast versus consistent
In: International Journal of Biomedical Imaging 2016 (2016), Article No.: 7690391
ISSN: 1687-4188
DOI: 10.1155/2016/7690391
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, , , , , :
Automatic Writer Identification in Historical Documents: A Case Study
In: Zeitschrift für digitale Geisteswissenschaften (2016), p. -
ISSN: 2510-1358
DOI: 10.17175/2016_002
URL: http://www.zfdg.de/2016_002
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, , , , , , :
A Comparative Error Analysis of Current Time-of-Flight Sensors
In: IEEE Transactions on Computational Imaging 2 (2016), p. 27--41
ISSN: 2333-9403
DOI: 10.1109/TCI.2015.2510506
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Sprechqualität und psychische Beeinträchtigung nach der Therapie von Mundhöhlentumoren
In: Laryngo-Rhino-Otologie (2016)
ISSN: 0935-8943
DOI: 10.1055/s-0042-102256
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Robust Multiframe Super-Resolution Employing Iteratively Re-Weighted Minimization
In: IEEE Transactions on Computational Imaging 2 (2016), p. 42-58
ISSN: 2333-9403
DOI: 10.1109/TCI.2016.2516909
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Kohler16-RMS.pdf
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, , , , , :
Patient-individualized boundary conditions for CFD simulations using time-resolved 3D angiography
In: International Journal of Computer Assisted Radiology and Surgery 11 (2016), p. 1061-9
ISSN: 1861-6410
DOI: 10.1007/s11548-016-1367-6
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Marker-free motion correction in weight-bearing cone-beam CT of the knee joint
In: Medical Physics 43 (2016), p. 1235-1248
ISSN: 0094-2405
DOI: 10.1118/1.4941012
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Berger16-MMC.pdf
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, , , , , , , :
Interventional dual-energy imaging - Feasibility of rapid kV-switching on a C-arm CT system
In: Medical Physics 43 (2016), p. 5536-5546
ISSN: 0094-2405
DOI: 10.1118/1.4962929
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Muller16-IDI.pdf
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, , , , , , , , , :
Indefinite Kernels in Least Squares Support Vector Machines and Principal Component Analysis
In: Applied and Computational Harmonic Analysis (2016)
ISSN: 1063-5203
DOI: 10.1016/j.acha.2016.09.001
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Huang16-IKI.pdf
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, , , :
High-resolution dynamic CE-MRA of the thorax enabled by iterative TWIST reconstruction
In: Magnetic Resonance in Medicine (2016), p. 1-8
ISSN: 0740-3194
DOI: 10.1002/mrm.26146
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Wetzl16-HDC.pdf
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, , , , , , , :
Accelerating Multi-Echo Water-Fat MRI with a Joint Locally Low-Rank and Spatial Sparsity-Promoting Reconstruction
In: Magnetic Resonance Materials in Physics Biology and Medicine - (2016), p. 01-14
ISSN: 0968-5243
DOI: 10.1007/s10334-016-0595-7
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Lugauer16-AMW.pdf
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, , , , , :
Fully Automated Data-Driven Respiratory Signal Extraction From SPECT Images Using Laplacian Eigenmaps
In: IEEE Transactions on Medical Imaging 35 (2016), p. 2425-2435
ISSN: 0278-0062
DOI: 10.1109/TMI.2016.2576899
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Book Contributions
CT Image Reconstruction Basics
In: MR and CT Perfusion and Pharmacokinetic Imaging: Clinical Applications and Theoretical Principles, Alphen aan den Rijn, Netherlands: Wolters Kluwer, 2016, p. C05/01-09
ISBN: 9781451147155
URL: https://www5.cs.fau.de/fileadmin/persons/MaierAndreas/maier/Hornegger16-CRB.pdf
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Conference Contributions
Analog Non-Linear Transformation-Based Tone Mapping for Image Enhancement in C-arm CT
IEEE Medical Imaging Conference (MIC) (Strasbourg, France)
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SlicerOCT: A 3-D visualization platform for orthoplane viewing of OCT(A) datasets
ARVO Annual Meeting 2016 (Seattle, WA, USA, May 1, 2016 - May 5, 2016)
In: Investigative Ophthalmology & Visual Science, ARVO: 2016
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Husvogt16-SA3.pdf
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OCPAD - Occluded Checkerboard Pattern Detector
IEEE Winter Conference on Applications of Computer Vision (Lake Placid, NY, March 7, 2016 - March 10, 2016)
DOI: 10.1109/WACV.2016.7477565
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, , , , , :
Automatic Detection and Analysis of Photovoltaic Modules in Aerial Infrared Imagery
IEEE Winter Conference on Applications of Computer Vision (Lake Placid, NY, March 7, 2016 - March 10, 2016)
DOI: 10.1109/WACV.2016.7477658
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, , , , , , :
Combination of Markerless Surrogates for Motion Estimation in Radiation Therapy
Computer Assisted Radiology and Surgery (CARS) 2016 (Heidelberg, June 22, 2016 - June 25, 2016)
In: Computer Assisted Radiology and Surgery (CARS) 2016: Proceedings of the 30th International Congress and Exhibition 2016
DOI: 10.1007/s11548-016-1412-5
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Geimer16-COM.pdf
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, , , , :
Advanced Image Processing for Optical Coherence Tomography Angiography
10th Joint Workshop of the German Research Training Groups in Computer Science (Schloss Dagstuhl - Leibniz-Zentrum für Informatik)
In: Benedikt Etzold, René Richter, Maximilian Eibl, Wolfgang Lehner (ed.): Proceedings of the 10th Joint Workshop of the German Research Training Groups in Computer Science, Chemnitz: 2016
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, , :
Comparison of SART and eTV Reconstruction for increased C-arm CT Volume Coverage by proper Detector Rotation in Liver Imaging
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (Prague, April 13, 2016 - April 16, 2016)
In: Proceedings of the 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2016
DOI: 10.1109/ISBI.2016.7493337
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Stromer16-COS.pdf
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, , , , , , :
Dynamic Pixel Binning allows Spatial and Angular Resolution Tradeoffs to improve Image Quality in X-Ray C-Arm CT
IEEE International Symposium on Biomedical Imaging (ISBI) (Prague)
DOI: 10.1109/ISBI.2016.7493334
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, , , , , :
A New Scale Space Total Variation Algorithm for Limited Angle Tomography
CT-Meeting 2016 (Bamberg, Germany, April 13, 2016 - April 16, 2016)
In: Marc Kachelrieß (ed.): CT-Meeting 2016 Proceedings (The 4th International Meeting on Image Formation in X-Ray Computed Tomography) 2016
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Huang16-ANS.pdf
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, , , , , :
Comparative Evaluation of Interactive Segmentation Approaches
Bildverarbeitung für die Medizin (Charité - Universitätsmedizin Berlin, March 13, 2016 - March 15, 2016)
In: Bildverarbeitung für die Medizin 2016, Berlin Heidelberg: 2016
DOI: 10.1007/978-3-662-49465-3
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Amrehn16-CEO.pdf
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, , , :
Image Quality Analysis of Limited Angle Tomography Using the Shift-Variant Data Loss Model
Bildverarbeitung für die Medizin (Berlin, March 13, 2016 - March 15, 2016)
In: Bildverarbeitung für die Medizin 2016 2016
DOI: 10.1007/978-3-662-49465-3_49
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Huang16-IQA.pdf
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, , , , , , , :
A Memory Management Library for CT-Reconstruction on GPUs
Workshop Bildverarbeitung für die Medizin (Berlin)
In: Bildverarbeitung für die Medizin, Berlin Heidelberg: 2016
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, , , :
A NEW WEIGHTED ANISOTROPIC TOTAL VARIATION ALGORITHM FOR LIMITED ANGLE TOMOGRAPHY
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (Prague, April 13, 2016 - April 16, 2016)
In: the 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2016
DOI: 10.1109/ISBI.2016.7493336
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Huang-ANW.pdf
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, , , , , :
A Novel Method for Contact-Free Cardiac Synchronization Using the Pilot Tone Navigator
24th Annual Meeting of the ISMRM (ISMRM 2016) (Singapur)
In: Proceedings of the 24th Annual Meeting of the ISMRM (ISMRM 2016) 2016
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Schroeder16-ANM.pdf
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, , , , , , :
Automatic Detection of Ostia in the Left Atrium
Workshop Bildverarbeitung für die Medizin (Berlin)
In: Bildverarbeitung für die Medizin 2016, Berlin Heidelberg: 2016
DOI: , , , :