Andreas Maier
Prof. Dr.-Ing. habil. Andreas Maier
https://medium.com/@akmaier
https://orcid.org/0000-0002-9550-5284
Academic CV
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.
Projects
2023
-
Artificial Intelligent as a Market Participant – Implications for Antitrust Law
(FAU Funds)
Term: January 15, 2023 - January 14, 2024Introduction: Antitrust laws (also known ascompetition laws) are designed to encourage strong competition and are designedto protect consumers from predatory commercial practices. The primary goals ofantitrust law are to ensure the functioning of the markets and to ensure faircompetition. A prominent example of an antitrust violation is illegal pricefixing. By definition, it is an agreement between competitors that fixes pricesor other competitive conditions, and thus violates the principle of the pricingmechanism through free market forces. A typical feature of illegal price fixingis verifiable communication (written or verbal) between human marketparticipants. However, in the age of artificial intelligence and e-commerce,the definition and the detection of this illegal practice faces new challengesas collusive behaviors that violate antitrust laws, such as the pricingmechanism, can be partially or fully automated [1]. Furthermore, thecommunications between market participants can be both overt and covert. Finally,market participants can be artificial agents which might affected by perverseinstantiation [2]. In other words, new technological possibilities areavailable to disguise illegal pricing policies and business practices.
Recent research, mainly from theeconomic and jurisprudence point of view, concludes the intensive applicationof AI algorithms in E-commerce will increase the extend of known forms ofanticompetitive behaviors [3][4]. However, the questions regarding whether andto which extent collusive behaviors will emerge by AI itself (which is anunknown form of anticompetitive behaviors) are rarely understood. Feasibilitystudies and comprehensive analysis comprising the implementation of AI methods andvalidation of the derived hypothesis has not been conducted so far. Therefore,the main goals of this project are to investigate the possibilities of collusivebehaviors stimulated and/or emerged by AI algorithms on digital marketplace andderive consequences on the antitrust law as well as competition policies. Tothe best of our knowledge, this is the first time that a research project inthe field of Antitrust and AI (AAI) is focusing on the mathematical andalgorithmic perspective of the question to which extend the utilization of AImethods is facilitating the collusive behaviors in the era of digital economy.
Objectives: In order to validate the hypothesesthat AI algorithms is able to develop and communicate collusive behaviors ondigital marketplaces both in overt and covert fashion, comprehensive emulatorsof online marketplaces in different setups will be implemented. Furthermore, different communication channels(both overt and covert) of digital marketplaces will be discovered and understood,as it is highly relevant to the detection of collusive practices. Finally, differentonline trading scenarios utilizing AI algorithms will be established and theimpact on antitrust law and competition polices will be derived. In total, the mainaspects in the intended DFG-application can be summarized as follows:
1. Asthe research topic belongs to a highly interdisciplinary field, a comprehensiveliterature review is necessary to define the problem space of the research andis of great importance to conduct the subsequent experiments successfully.Therefore, a comprehensive literature review on the aspects of antitrust law, gametheory, artificial intelligence and cyber security will be conducted.
2. Firststep of the implementation is the holistic emulation of the digitalmarketplace. The market emulator should have the capability to emulate the digitalmarket following various rules (e.g., Cournot vs. collusive competition) indifferent size (i.e., with different amount of market participants). Moreover,state-of-the-art algorithms for dynamic pricing should be replicated andintegrated into the market emulator as well.
3. Afurther aspect of this project is the communication mechanism in the era of E-commerceand AI. The know form of collusions mostly utilize overt communications.However, covert communication channels (i.e., communication channels that are notoriginally designed for the communication purpose, therefore hardly to bedetected [5][6]) poses further vulnerabilities of online marketplaces. The mechanismsand capacities of covert channels facilitating the collusive behaviors (e.g.,illegal price fixing) as should be investigated with the implemented marketemulator.
4. Finally,artificial agents for price definition of different products should be proposedand implemented following different competition models as well as marketcomplexities, aiming at understanding the central research questions of thisresearch project, i.e., capabilities and conditions of emerging collusivebehaviors of artificial agents by themselves. This particular step can beachieved by using reinforcement learning techniques. Technical opportunitiesand challenges for the discrimination of collusive and non-collusive behaviorsthat are potentially emerged by the artificial agents should be explored aswell.
The entire project will besupervised by experts from three disciplines. Prof. Jochen Hoffmann (chair of Private Business Law) will support this research project with his knowledges and expertiseon antitrust law, Prof. Felix Feilling (chair of Cyber Security) will advise onthe aspects that are related to covert communication and cyber security, andProf. Andreas Maier (pattern recognition lab) will mentor this project from theAI point of view.
[1] KünstlicheIntelligenz als Marktteilnehmer – Technische Möglichkeiten, Maier A., Bayer S.,Mohr Verlag. Submitted, unpublished.
[2] BostromN. Superintelligence: Paths, Dangers, Strategies. Minds & Machines 25, Seite 285–289 (2015).
[3] Petit, N. Antitrust andartificial intelligence: A research agenda. In: Journal of European CompetitionLaw and Practice. Vol. 8, Issue 6, pp. 361–362. Oxford University Press.(2017)
[4] Beneke, F., Mackenrodt, M.,Remedies for algorithmic tacit collusion, Journal of Antitrust Enforcement,Volume 9, Issue 1, Pages 152–176 (2021).
[5]Hans-Georg Eßer, Felix C. Freiling. Kapazitätsmessung eines verdecktenZeitkanals über HTTP, Univ. Mannheim,Technischer Bericht TR-2005-10, November 2005. (2005)
[6] Freiling F.C., Schinzel S.Detecting Hidden Storage Side Channel Vulnerabilities in NetworkedApplications. In: Camenisch J., Fischer-Hübner S., Murayama Y., Portmann A.,Rieder C. (eds) Future Challenges in Security and Privacy for Academia andIndustry. SEC 2011. IFIP Advances in Information and Communication Technology,vol 354. Springer, Berlin, Heidelberg. (2011)
-
Exploring Brain Mechanics (EBM):
Understanding, engineering and exploiting mechanical properties and signals in central nervous system development, physiology and pathology(Third Party Funds Group – Overall project)
Term: January 1, 2023 - December 31, 2026
Funding source: DFG / Sonderforschungsbereich / Transregio (SFB / TRR)Thecentral nervous system (CNS) is our most complex organ system. Despite tremendousprogress in our understanding of the biochemical, electrical, and geneticregulation of CNS functioning and malfunctioning, many fundamental processesand diseases are still not fully understood. For example, axon growth patterns inthe developing brain can currently not be well-predicted based solely on thechemical landscape that neurons encounter, several CNS-related diseases cannotbe precisely diagnosed in living patients, and neuronal regeneration can stillnot be promoted after spinal cord injuries.
Duringmany developmental and pathological processes, neurons and glial cells aremotile. Fundamentally, motion is drivenby forces. Hence, CNS cells mechanicallyinteract with their surrounding tissue. They adhere to neighbouring cells and extracellular matrix using celladhesion molecules, which provide friction, and generate forces usingcytoskeletal proteins. These forces aretransmitted to the outside world not only to locomote but also to probe themechanical properties of the environment, which has a long overseen huge impacton cell function.
Onlyrecently, groups of several project leaders in this consortium, and a few other groupsworldwide, have discovered an important contribution of mechanical signalsto regulating CNS cell function. For example, they showed that brain tissuemechanics instructs axon growth and pathfinding in vivo, that mechanicalforces play an important role for cortical folding in the developing humanbrain, that the lack of remyelination in the aged brain is due to an increasein brain stiffness in vivo, and that many neurodegenerative diseases areaccompanied by changes in brain and spinal cord mechanics. These first insights strongly suggest thatmechanics contributes to many other aspects of CNS functioning, and it islikely that chemical and mechanical signals intensely interact at the cellularand tissue levels to regulate many diverse cellular processes.
The CRC 1540 EBM synergises the expertise of engineers, physicists,biologists, medical researchers, and clinicians in Erlangen to explore mechanicsas an important yet missing puzzle stone in our understanding of CNSdevelopment, homeostasis, and pathology. Our strongly multidisciplinary teamwith unique expertise in CNS mechanics integrates advanced invivo, in vitro, and in silico techniques across time(development, ageing, injury/disease) and length (cell, tissue, organ) scalesto uncover how mechanical forces and mechanical cell and tissue properties,such as stiffness and viscosity, affect CNS function. We especially focus on(A) cerebral, (B) spinal, and (C) cellular mechanics. Invivo and in vitro studies provide a basic understanding ofmechanics-regulated biological and biomedical processes in different regions ofthe CNS. In addition, they help identify key mechano-chemical factors forinclusion in in silico models and provide data for model calibration andvalidation. In silico models, in turn, allow us to test hypotheses without the need of excessive or even inaccessibleexperiments. In addition, they enable the transfer and comparison of mechanics data and findingsacross species and scales. They also empower us to optimise processparameters for the development of in vitro brain tissue-like matricesand in vivo manipulation of mechanical signals, and, eventually, pavethe way for personalised clinical predictions.
Insummary, we exploit mechanics-based approaches to advance ourunderstanding of CNS function and to provide the foundation for futureimprovement of diagnosis and treatment of neurological disorders.
2022
-
International Doctoral Program: Measuring and Modelling Mountain glaciers and ice caps in a Changing Climate (M³OCCA)
(Third Party Funds Single)
Term: June 1, 2022 - May 31, 2026
Funding source: Elitenetzwerk BayernMountain glaciers and ice caps outside the large ice sheets of Greenland and Antarctica contribute about 41% to the global sea level rise between 1901 to 2018 (IPCC 2021). While the Arctic ice masses are and will remain the main contributors to sea level rise, glacier ice in other mountain regions can be critical for water supply (e.g. irrigation, energy generation, drinking water, but also river transport during dry periods). Furthermore, retreating glaciers also can cause risks and hazards by floods, landslides and rock falls in recently ice-free areas. As a consequence, the Intergovernmental Panel of Climate Change (IPCC) dedicates special attention to the cryosphere (IPCC 2019; IPCC 2021). WMO and UN have defined Essential Climate Variables (ECV) for assessing the status of the cryosphere and its changes. These ECVs should be measured regularly on large scale and are essential to constrain subsequent modelling efforts and predictions.
The proposed International Doctorate Program (IDP) “Measuring and Modelling Mountain glaciers and ice caps in a Changing ClimAte (M3OCCA)” will substantially contribute to improving our observation and measurement capabilities by creating a unique inter- and transdisciplinary research platform. We will address main uncertainties of current measurements of the cryosphere by developing new instruments and future analysis techniques as well as by considerably advancing geophysical models in glaciology and natural hazard research. The IDP will have a strong component of evolving techniques in the field of deep learning and artificial intelligence (AI) as the data flow from Earth Observation (EO) into modelling increases exponentially. IDP M3OCCA will become the primary focal point for mountain glacier research in Germany and educate emerging
talents with an interdisciplinary vision as well as excellent technical and soft skills. Within the IDP we combine cutting edge technologies with climate research. We will develop future technologies and transfer knowledge from other disciplines into climate and glacier research to place Bavaria at the forefront in the field of mountain cryosphere research. IDP M3OCCA fully fits into FAU strategic goals and it will leverage on Bavaria’s existing long-term commitment via the super test site Vernagtferner in the Ötztal Alps run by Bavarian Academy of Sciences (BAdW). In addition, we cooperate with the University of Innsbruck and its long-term observatory at Hintereisferner. At those super test sites, we will perform joint measurements, equipment tests, flight campaigns and cross-disciplinary trainings and exercises for our doctoral researchers. We leverage on existing
instrumentation, measurements and time series. Each of the nine doctoral candidates will be guided by interdisciplinary, international teams comprising university professors, senior scientists and emerging talents from the participating universities and external research organisations. -
Temporally resolved 3-D retinal blood flow quantification using advanced motion correction
and signal reconstruction in optical coherence tomography angiography(Third Party Funds Single)
Term: since November 15, 2022
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)Die optische Kohärenztomographie (OCT) erzeugt volumetrische 3-D-Bilder von Gewebe mit Mikrometerauflösung, indem sie einen Laserstrahl zum Scannen verwendet und die Amplitude und Zeitverzögerung von zurückgestreutem Licht misst. Die OCT hat einen großen Einfluss auf die Augenheilkunde und wurde zu einer Standard-Bildgebungsmodalität für die Diagnose, die Überwachung des Krankheitsverlaufs und das Ansprechen auf die Behandlung sowie für die Untersuchung der Pathogenese von Krankheiten wie diabetischer Retinopathie, altersbedingter Makuladegeneration und Glaukom. Die jüngste Entwicklung der OCT-Angiographie (OCTA) hat die grundlegende und klinische Forschung dramatisch beschleunigt. OCTA führt eine tiefenaufgelöste (3-D) Bildgebung der retinalen Mikrovaskulatur durch, indem es wiederholt die gleiche Netzhautposition abbildet und den Bewegungskontrast von sich bewegenden Blutzellen erkennt. Im Vergleich zu herkömmlichen Ansätzen, die auf injizierten Kontrastmitteln basieren, hat OCTA den Vorteil, dass es nicht invasiv ist, sodass die Bildgebung bei jedem Patientenbesuch durchgeführt werden kann, was Längsschnittstudien ermöglicht. Allerdings hat OCTA auch einige Einschränkungen. Da eine wiederholte Bildgebung erforderlich ist, um den Blutfluss zu erkennen, sind die Aufnahmezeiten lang und die Daten können durch Augenbewegungen und Bildartefakte verzerrt werden, was eine quantitative Längsschnittanalyse erschwert. OCTA-Algorithmen können das Vorhandensein eines Blutflusses erkennen, sind jedoch nur begrenzt in der Lage, subtile Veränderungen des Flusses aufzulösen, die frühe Anzeichen einer Krankheit sein können. Zeitliche Schwankungen des Flusses, die durch den Herzzyklus oder die funktionelle Reaktion der Netzhaut verursacht werden, sind schwer zu untersuchen. Wir schlagen vor, ein neues Framework für OCTA zu entwickeln, das eine Bewegungskorrektur auf Kapillarebene ermöglicht, Blutflussgeschwindigkeiten differenziert und eine Analyse auf mehreren Zeitskalen ermöglicht (4-D OCTA). Die Fähigkeit, über die Visualisierung der Mikrovaskulatur hinauszugehen und den Fluss und seine zeitlichen Schwankungen zu beurteilen, ermöglicht die Beurteilung subtiler Beeinträchtigungen der mikrovaskulären Perfusion sowie des Herzzyklus und der Reaktion auf funktionelle Stimulation. In Kombination mit der vaskulären strukturellen Bildgebung versprechen diese Fortschritte, neue Krankheitsmarker in früheren Krankheitsstadien bereitzustellen, eine genauere Messung des Krankheitsverlaufs und des Ansprechens auf die Therapie in pharmazeutischen Studien zu ermöglichen und zur Aufklärung der Pathogenese bei Netzhauterkrankungen beizutragen.
2021
-
ODEUROPA: Negotiating Olfactory and Sensory Experiences in Cultural Heritage Practice and Research
(Third Party Funds Group – Sub project)
Overall project: ODEUROPA
Term: January 1, 2021 - December 31, 2022
Funding source: EU - 8. Rahmenprogramm - Horizon 2020
URL: https://odeuropa.eu/Our senses are gateways to the past. Although museums are slowly discovering the power of multi-sensory presentations, we lack the scientific standards, tools and data to identify, consolidate, and promote the wide-ranging role of scents and smelling in our cultural heritage. In recent years, European cultural heritage institutions have invested heavily in large-scale digitization. A wealth of object, text and image data that can be analysed using computer science techniques now exists. However, the potential olfactory descriptions, experiences, and memories that they contain remain unexplored. We recognize this as both a challenge and an opportunity. Odeuropa will apply state-of-the-art AI techniques to text and image datasets that span four centuries of European history. It will identify the vocabularies, spaces, events, practices, and emotions associated with smells and smelling. The project will curate this multi-modal information, following semantic web standards, and store the enriched data in a ‘European Olfactory Knowledge Graph’ (EOKG). We will use this data to identify ‘storylines’, informed by cultural history and heritage research, and share these with different audiences in different formats: through demonstrators, an online catalogue, toolkits and training documentation describing best-practices in olfactory museology. New, evidence-based methodologies will quantify the impact of multisensory visitor engagement. This data will support the implementation of policy recommendations for recognising, promoting, presenting and digitally preserving olfactory heritage. These activities will realize Odeuropa’s main goal: to show that smells and smelling are important and viable means for consolidating and promoting Europe’s tangible and intangible cultural heritage.
-
UtilityTwin
(Third Party Funds Group – Overall project)
Term: September 1, 2021 - August 31, 2024
Funding source: Bayerisches Staatsministerium für Wirtschaft, Landesentwicklung und Energie (StMWi) (seit 2018)In the UtilityTwin research project, an intelligent digital twin for any energy or water supply network is to be researched and developed on the basis of adaptive high-resolution sensor data (down to the sub-second range) and machine learning techniques. Overall, the technology concepts BigData and AI are to be combined in an innovative way in this research project in order to make positive contributions to the implementation of the energy transition and to counteract climate change.
2020
-
Bereitstellung einer Infrastruktur zur Nutzung für die Ausbildung Studierender auf einem z/OS Betriebssystem der Fa. IBM
(FAU Funds)
Term: April 2, 2020 - March 31, 2025
Funding source: Friedrich-Alexander-Universität Erlangen-Nürnberg -
Automatic exposure control (AEC) for CT based on neural network-driven patient-specific real-time assessment of dose distributions and minimization of the effective dose
(Third Party Funds Single)
Term: April 1, 2020 - March 31, 2023
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)Modern diagnostic CT systems comprise a variety of measures to keep patient dose at a minimum. Of particular importance is the tube current modulation (TCM) technique that automatically adapts the tube current for each projection in a way to minimize the tube current time product (mAs-product) for a given image quality. This can also be regarded as maximizing the image quality for a given mAs-product. TCM performs a modulation depending on the angular position of the x-ray tube and depending on the z-position of the scan. Measures related to TCM are the automated choice of the mean tube current and of the optimal tube voltage. These three dose reduction methods are also known under the term automatic exposure control (AEC).As of today, however, the AEC does not minimize the actual patient dose and thereby the actual patient risk. It rather minimizes surrogates thereof. The surrogate of TCM is the mAs-product. The surrogate used to automatically select the tube voltage is the CTDI value or the dose length product (DLP). A direct minimization of the weighted summed organ dose values and thereby the patient risk is currently not practicable due to a) the very high computation times of the Monte Carlo dose calculation algorithms and b) due to the lack of a reliable segmentation of the radiation sensitive and risk-relevant organs.We therefore plan to use artificial neural networks to solve the above-mentioned problems and to realize a new AEC which is capable of directly minimizing patient dose and risk instead of using surrogate parameters. A first neural net will convert the patient topogram(s) into a coarse estimate of the CT volume. In cases where only a single topogram is available information of the table height will be used for this estimation. A second neural net will segment the relevant organs. We can here partially use prior work of a previous DFG project (KA 1678/20, LE 2763/2, MA 4898/5). A third network will use further scan parameters (table increment, pitch value, rotation time, collimation, tube voltage, …) to compute the expected dose distribution per projection. This, together with the segmentation of the organs, shall be used to compute the effective dose (or risk) or the patient per projection. A minimization algorithm will then find the optimal tube current curve that minimizes patient risk at a given image quality or that maximizes image quality at a given patient risk.To evaluate our deep AEC algorithm diagnostic CT data will be collected. The data will be retrospectively converted to the desired tube current curve by adding noise to the rawdata followed by another reconstruction. Experienced radiologists will then perform a blinded study where they read images produced without AEC, with the conventional AEC as of today, and with our new deep AEC algorithm. -
Entwicklung eines Leitfadens zur dreidimensionalen zerstörungsfreien Erfassung von Manuskripten
(Third Party Funds Single)
Term: since November 1, 2020
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
URL: https://gepris.dfg.de/gepris/projekt/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 -
Integratives Konzept zur personalisierten Präzisionsmedizin in Prävention, Früh-Erkennung, Therapie und Rückfallvermeidung am Beispiel von Brustkrebs
(Third Party Funds Single)
Term: October 1, 2020 - September 30, 2024
Funding source: Bayerisches Staatsministerium für Gesundheit und Pflege, StMGP (seit 2018)Breast cancer is one of the leading causes of death in the field of oncology in Germany. For the successful care and treatment of patients with breast cancer, a high level of information for those affected is essential in order to achieve a high level of compliance with the established structures and therapies. On the one hand, the digitalisation of medicine offers the opportunity to develop new technologies that increase the efficiency of medical care. On the other hand, it can also strengthen patient compliance by improving information and patient integration through electronic health applications. Thus, a reduction in mortality and an improvement in quality of life can be achieved. Within the framework of this project, digital health programmes are going to be created that support and complement health care. The project aims to provide better and faster access to new diagnostic and therapeutic procedures in mainstream oncology care, to implement eHealth models for more efficient and effective cancer care, and to improve capacity for patients in oncologcal therapy in times of crisis (such as the SARS-CoV-2 pandemic). The Chair of Health Management is conducting the health economic evaluation and analysing the extent to which digitalisation can contribute to a reduction in the costs of treatment and care as well as to an improvement in the quality of life of breast cancer patients.
-
Integratives Konzept zur personalisierten Präzisionsmedizin in Prävention, Früh-Erkennung, Therapie undRückfallvermeidung am Beispiel von Brustkrebs - DigiOnko
(Third Party Funds Single)
Term: October 1, 2020 - September 30, 2024
Funding source: Bayerisches Staatsministerium für Gesundheit und Pflege, StMGP (seit 2018) -
Intelligente MR-Diagnostik der Leber durch Verknüpfung modell- und datengetriebener Verfahren
(Third Party Funds Single)
Term: April 1, 2020 - March 31, 2023
Funding source: Bundesministerium für Bildung und Forschung (BMBF) -
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.
-
Molecular Assessment of Signatures ChAracterizing the Remission of Arthritis
(Third Party Funds Single)
Term: April 1, 2020 - September 30, 2022
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.
-
Entwicklung eines Leitfadens zur dreidimensionalen zerstörungsfreien Erfassung von Manuskripten
(Third Party Funds Single)
Term: May 1, 2020 - April 30, 2022
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)
URL: https://gepris.dfg.de/gepris/projekt/433501541?context=projekt&task=showDetail&id=433501541&In the course of massive digitization, a large part of libraries’ archived documents are currently being converted into electronic formats. However, the digitization is also reaching its limits. Scanning robots cannot digitize documents whose condition due to natural ageing or external influences prohibit a conventional, optical based processing. Our own preliminary work has shown that the three imaging techniques X-ray Computed Tomography, Phase Contrast X-ray Computed Tomography and Terahertz Imaging are suitable for providing non-invasive insights into such documents, allow the acquisition of digital imaging information and are capable to re-enable an efficient automated process to digitalize cultural heritage documents.This research project is the first to develop a concrete digitization strategy or method for such documents. This structured evaluation will be based on a quality value that allows statements to be made about the expected result of digitization with one of the mentioned modalities for certain historical materials. From this, the most suitable imaging procedure can be determined. Based on these findings, a guideline for the digitization of fragile documents will be developed to predict the quality, feasibility and possible damage before a scan. In addition, algorithms will be developed that virtually process the generated data and make it readable for the human eye. Three concrete goals will be pursued to carry out the research project. By evaluating the modalities for selected historical materials, the most appropriate procedure for a specific document should then be identified. At the end of the project, a guide will be made available and the possibilities of each modality will be demonstrated by specifying material combinations and relevant parameters. It will be possible to test the variation of the recording parameters and to display exemplary results using the generated database. This also makes it possible to calculate a quality value. The basis for such a guide is the evaluation of the three modalities for relevant materials. For this purpose, realistic test specimen are produced. Both the scan quality and resolution as well as possible damage to the document must be considered. The guide will then be used to identify the most suitable procedure for a specific document. This statement is based on the mentioned quality value, which will also be used to predict the optimal digitization modality and the quality for an unknown document.The evaluation of several modalities as well as the development of algorithms are to be seen as central challenges of the research project. It will be possible to store endangered holdings in a digital format without destroying their structure through manual intervention. In the second funding phase, a multi-modal solution should be investigated in which disadvantages and limitations of individual modalities will be compensated by combining several modalities. -
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
-
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)
-
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.
-
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.
-
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. Jahrhunddert: Automatische Handschriftenerkennung - historische und sprachwissenschaftliche Analyse
(Third Party Funds Single)
Term: October 1, 2019 - September 30, 2022
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, 2023
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, 2022
2018
-
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.
-
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.
-
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?")
-
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.
-
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
-
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,
-
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.
-
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.
-
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.
-
Joint Iterative Reconstruction and Motion Compensation for Optical Coherence Tomography
Angiography(Third Party Funds Single)
Term: August 1, 2017 - July 31, 2019
Funding source: DFG-Einzelförderung / Sachbeihilfe (EIN-SBH)Optical coherence tomography (OCT) is a non-invasive 3-D optical imagingmodality that is a standard of care in ophthalmology [1,2]. Since the introduction of Fourier-domain OCT [3], dramatic increases in imaging speedbecame possible, enabling 3-D volumetric data to be acquired. Typically, aregion of the retina is scanned line by line, where each scanned lineacquires a cross-sectional image or a B-scan. Since B-scans are acquiredin milliseconds, slices extracted along a scan line, or the fast scanaxis, are barely affected by motion. In contrast, slices extractedorthogonally to scan lines, i. e. in slow scan direction, areaffected by various types of eye motion occurring throughout the full,multi-second volume acquisition time. The most relevant types of eyemovements during acquisition are (micro-)saccades, which can introducediscontinuities or gaps between B-scans, and slow drifts, which causesmall, slowly changing distortion [4]. Additional eye motion is caused by pulsatile blood flow,respiration and head motion. Despite ongoing advances in instrumentscanning speed [5,6] typical volume acquisition times havenot decreased. Instead, the additional scanning speed is used for densevolumetric scanning or wider fields of view [7]. OCT angiography (OCTA) [8–11] multiplies therequired number of scans by at least two, and even more scans are neededto accommodate recent developments in blood flow speed estimation whichare based on multiple interscan times [12,13]. As a consequence,there is an ongoing need for improvement in motion compensation especiallyin pathology [14–16].
We develop novel methods for retrospective motion correction of OCT volume scans of the anterior and posterior eye, and widefield imaging. Our algorithms are clinically usable due to their suitability for patients with limited fixation capabilities and increased amount of motion, due to their fast processing speed, and their high accuracy, both in terms of alignment and motion correction. By merging multiple accurately aligned scans, image quality can be increased substantially, enabling the inspection of novel features.
-
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
-
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.
-
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.
-
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
-
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 -
Weight-Bearing Image of the Knee Using A-Arm CT
(Third Party Funds Single)
Term: April 1, 2015 - February 28, 2019
Funding source: National Institutes of Health (NIH)
2014
-
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.
-
Magnetresonanz am Herzen
(Third Party Funds Single)
Term: March 1, 2014 - June 30, 2017
Funding source: Siemens AG
2013
-
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
-
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
-
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.
Publications
2023
Journal Articles
Continuous Non-Invasive Blood Pressure Measurement Using 60 GHz-Radar—A Feasibility Study
In: Sensors 23 (2023), p. 4111
ISSN: 1424-8220
DOI: 10.3390/s23084111
BibTeX: Download
, , , , , , , :
Defining a baseline identification of artifacts in confocal laser endomicroscopy in head and neck cancer imaging
In: American Journal of Otolaryngology 44 (2023), Article No.: 103779
ISSN: 0196-0709
DOI: 10.1016/j.amjoto.2022.103779
BibTeX: Download
, , , , , , , , , :
Neural network based formation of cognitive maps of semantic spaces and the putative emergence of abstract concepts
In: Scientific Reports (2023)
ISSN: 2045-2322
DOI: 10.1038/s41598-023-30307-6
URL: https://www.nature.com/articles/s41598-023-30307-6
BibTeX: Download
, , , :
Deep learning for automatic head and neck lymph node level delineation provides expert-level accuracy
In: Frontiers in Oncology 13 (2023), p. 1--14
ISSN: 2234-943X
DOI: 10.3389/fonc.2023.1115258
URL: https://www.frontiersin.org/articles/10.3389/fonc.2023.1115258/full
BibTeX: Download
, , , , , , , , , , , , , , , , , , :
How scan parameter choice affects deep learning-based coronary artery disease assessment from computed tomography
In: Scientific Reports 13 (2023), p. 2563-
ISSN: 2045-2322
DOI: 10.1038/s41598-023-29347-9
BibTeX: Download
, , , , , , , , , , , , :
Mitosis domain generalization in histopathology images — The MIDOG challenge
In: Medical Image Analysis 84 (2023), Article No.: 102699
ISSN: 1361-8415
DOI: 10.1016/j.media.2022.102699
BibTeX: Download
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , :
Clinical prototype implementation enabling an improved day-to-day mammography compression
In: Physica Medica 106 (2023), Article No.: 102524
ISSN: 1120-1797
DOI: 10.1016/j.ejmp.2023.102524
BibTeX: Download
, , , , , , , , :
AMD-HookNet for Glacier Front Segmentation
In: IEEE Transactions on Geoscience and Remote Sensing 61 (2023), p. 1-12
ISSN: 0196-2892
DOI: 10.1109/TGRS.2023.3245419
URL: https://ieeexplore.ieee.org/document/10044700
BibTeX: Download
, , , , , , :
The effects of RF coils and SAR supervision strategies for clinically applicable nonselective parallel-transmit pulses at 7 T
In: Magnetic Resonance in Medicine (2023)
ISSN: 0740-3194
DOI: 10.1002/mrm.29569
BibTeX: Download
, , , , , , , , , , , , :
Automated Cardiac Resting Phase Detection Targeted on the Right Coronary Artery
In: Journal Machine Learning for Biomedical Imaging (2023)
ISSN: 2766-905X
Open Access: https://www.melba-journal.org/pdf/2023:001.pdf
BibTeX: Download
, , , , , , , , , :
ORCA-SPY: Killer Whale Sound Source Simulation and Detection, Classification and Localization in PAMGuard Utilizing Integrated Deep Learning Based Segmentation
In: Scientific Reports UNDER REVIEW (2023)
ISSN: 2045-2322
BibTeX: Download
, , , , , , , , :
Book Contributions
DeepNAPSI multi-reader nail psoriasis prediction using deep learning
In: Nature Scientific Reports, 2023, p. 5329
DOI: 10.1038/s41598-023-32440-8
BibTeX: Download
, , , , , , , , , , , :
Künstliche Intelligenz als Marktteilnehmer – Technische Möglichkeiten
DOI: 10.3790/978-3-428-58789-6
BibTeX: Download
, :
Conference Contributions
Orca is VAE – Variational Autoencoders for Bioacoustic Signal Encoding
24th Annual Conference of the International Speech Communication Association, INTERSPEECH 2023 (Dublin, Ireland, August 20, 2023 - August 24, 2023)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2023 -- UNDER REVIEW 2023
BibTeX: Download
, , , :
A Vesselsegmentation-based CycleGAN for Unpaired Multi-modal Retinal Image Synthesis
Bildverarbeitung für die Medizin 2023 (Braunschweig, July 2, 2023 - July 4, 2023)
In: Bildverarbeitung für die Medizin 2023, Wiesbaden: 2023
DOI: 10.1007/978-3-658-41657-7_11
URL: https://arxiv.org/pdf/2306.02901.pdf
BibTeX: Download
, , :
Cone-beam CT trajectory optimization for metal artifact avoidance using ellipsoidal object parameterizations
DOI: 10.1117/12.2654349
BibTeX: Download
, , , , , , , , :
Three-Step Volumetric Segmentation for Automated Shoe Fitting
12th Conference on Industrial Computed Tomography (iCT) 2023 (Fürth, February 27, 2023 - March 2, 2023)
In: e-Journal of Nondestructive Testing 28 2023
URL: https://www.ndt.net/search/docs.php3?id=27736&edit=0
BibTeX: Download
, , , , :
ArtFacePoints: High-resolution Facial Landmark Detection in Paintings and Prints
Vision for Art (VISART VI) 2022 at European Conference on Computer Vision (ECCV) 2022 (Tel Aviv, October 23, 2022 - October 27, 2022)
In: Computer Vision – ECCV 2022 Workshops. ECCV 2022 2023
DOI: 10.1007/978-3-031-25056-9_20
URL: https://arxiv.org/pdf/2210.09204.pdf
BibTeX: Download
, , :
Self-Supervised 2D/3D Registration for X-Ray to CT Image Fusion
DOI: 10.1109/WACV56688.2023.00281
BibTeX: Download
, , , , :
DeepFilterNet: Perceptually Motivated Real-Time Speech Enhancement
INTERSPEECH (Dublin, Ireland, August 20, 2023 - August 24, 2023)
In: INTERSPEECH 2023 2023
Open Access: https://arxiv.org/abs/2305.08227
BibTeX: Download
, , , :
Fully Automatic Scar Segmentation on LGE Images with Reduced Contrast Agent Dose
SCMR 26th Annual Scientific Sessions (San Diego, CA, January 25, 2023 - January 28, 2023)
In: Proceedings of the SCMR 26th Annual Scientific Sessions 2023
BibTeX: Download
, , , , , , , :
Deep Multi-Frame Filtering for Hearing Aids
INTERSPEECH (Dublin, Ireland, August 20, 2023 - August 24, 2023)
In: INTERSPEECH 2023 2023
Open Access: https://arxiv.org/abs/2305.08225
BibTeX: Download
, , , :
Unpublished Publications
Out-of-the-box Calving Front Detection Method Using Deep Learning
In: The Cryosphere Discussions (2023)
ISSN: 1994-0432
DOI: 10.5194/tc-2023-34
BibTeX: Download
, , , , , , :
A Multi-modal Registration and Visualization Software Tool for Artworks using CraquelureNet (Conference contribution, accepted)
Pattern Recognition for Cultural Heritage (PatReCH) 2022 Workshop at the 26th International Conference on Pattern Recognition (ICPR) 2022 (, August 21, 2022 - August 21, 2022)
DOI: 10.48550/arXiv.2208.08836
URL: https://arxiv.org/pdf/2208.08836.pdf
BibTeX: Download
, , :
Conditional Random Fields for Improving Deep Learning-based Glacier Calving Front Delineations (Conference contribution, submitted)
International Geoscience and Remote Sensing Symposium 2023 (Pasadena, California, July 16, 2023 - July 21, 2023)
BibTeX: Download
, , , , , :
CaFFe - a Benchmark Dataset for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery (Conference contribution, submitted)
International Geoscience and Remote Sensing Symposium 2023 (Pasadena, California, July 16, 2023 - July 21, 2023)
BibTeX: Download
, , , , , :
Comparability of Deep Learning Techniques for Calving Front Segmentation in SAR Imagery (Conference contribution, published)
European Geoscience Union General Assembly 2023 (Vienna, April 23, 2023 - April 28, 2023)
DOI: 10.5194/egusphere-egu23-5069
URL: https://meetingorganizer.copernicus.org/EGU23/EGU23-5069.html
BibTeX: Download
, , , , :
2022
Journal Articles
Deep learning for terahertz image denoising in nondestructive historical document analysis
In: Scientific Reports 12 (2022), p. 1-11
ISSN: 2045-2322
DOI: 10.1038/s41598-022-26957-7
URL: https://www.nature.com/articles/s41598-022-26957-7
BibTeX: Download
, , , , , , , , , , , :
ANIMAL‐SPOT enables animal‐independent signal detection and classification using deep learning
In: Scientific Reports 12 (2022), p. 1-16
ISSN: 2045-2322
DOI: 10.1038/s41598-022-26429-y
BibTeX: Download
, , , , , , , , , , , , , , :
Classification at the accuracy limit: facing the problem of data ambiguity
In: Scientific Reports 12 (2022), Article No.: 22121
ISSN: 2045-2322
DOI: 10.1038/s41598-022-26498-z
BibTeX: Download
, , , , , , :
Interpreting acoustic features for the assessment of Alzheimer's disease using ForestNet
In: Smart Health 26 (2022), Article No.: 100347
ISSN: 2352-6483
DOI: 10.1016/j.smhl.2022.100347
BibTeX: Download
, , , , , , , :
DeepCEST 7 T: Fast and homogeneous mapping of 7 T CEST MRI parameters and their uncertainty quantification
In: Magnetic Resonance in Medicine (2022)
ISSN: 0740-3194
DOI: 10.1002/mrm.29520
BibTeX: Download
, , , , , , , , , , , , , :
ICC++: Explainable Feature Learning for Art History using Image Compositions
In: Pattern Recognition (2022), p. 109153
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2022.109153
BibTeX: Download
, , , , , , :
Enhancing Human Pose Estimation in Ancient Vase Paintings via Perceptually-grounded Style Transfer Learning
In: Journal of Computing and Cultural Heritage (2022)
ISSN: 1556-4673
DOI: 10.1145/3569089
BibTeX: Download
, , , , , , , :
Trainable joint bilateral filters for enhanced prediction stability in low-dose CT
In: Scientific Reports 12 (2022), Article No.: 17540
ISSN: 2045-2322
DOI: 10.1038/s41598-022-22530-4
BibTeX: Download
, , , , , , , , , :
A multi-sensor architecture combining human pose estimation and real-time location systems for workflow monitoring on hybrid operating suites
In: Future Generation Computer Systems-The International Journal of Grid Computing Theory Methods and Applications 135 (2022), p. 283-298
ISSN: 0167-739X
DOI: 10.1016/j.future.2022.05.006
BibTeX: Download
, , , , , , , , , , , , , , :
Bifurcation matching for consistent cerebral vessel labeling in CTA of stroke patients
In: International Journal of Computer Assisted Radiology and Surgery (2022)
ISSN: 1861-6410
DOI: 10.1007/s11548-022-02750-9
BibTeX: Download
, , , , , :
An Algorithm for the Labeling and Interactive Visualization of the Cerebrovascular System of Ischemic Strokes
In: Biomedical Physics and Engineering Express (2022)
ISSN: 2057-1976
DOI: 10.1088/2057-1976/ac9415
BibTeX: Download
, , , , , , :
Calving fronts and where to find them: a benchmark dataset and methodology for automatic glacier calving front extraction from synthetic aperture radar imagery
In: Earth System Science Data 14 (2022), p. 4287--4313
ISSN: 1866-3508
DOI: 10.5194/essd-14-4287-2022
URL: https://essd.copernicus.org/articles/14/4287/2022/
BibTeX: Download
, , , , :
Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data
In: Scientific Reports 12 (2022), Article No.: 14851
ISSN: 2045-2322
DOI: 10.1038/s41598-022-19045-3
BibTeX: Download
, , , , , :
Automated Protocoling for MRI Exams-Challenges and Solutions
In: Journal of Digital Imaging (2022)
ISSN: 0897-1889
DOI: 10.1007/s10278-022-00610-1
BibTeX: Download
, , , , :
Source-detector trajectory optimization in cone-beam computed tomography: a comprehensive review on today's state-of-the-art
In: Physics in Medicine and Biology 67 (2022)
ISSN: 0031-9155
DOI: 10.1088/1361-6560/ac8590
BibTeX: Download
, , , , , , , , , , , :
Deep Learning-Guided Weighted Averaging for Signal Dropout Compensation in DWI of the Liver
In: Magnetic Resonance in Medicine (2022)
ISSN: 0740-3194
DOI: 10.1002/mrm.29380
BibTeX: Download
, , , , , :
Deep learning for brain metastasis detection and segmentation in longitudinal MRI data
In: Medical Physics (2022), Article No.: 15863
ISSN: 0094-2405
DOI: 10.1002/mp.15863
URL: https://aapm.onlinelibrary.wiley.com/doi/10.1002/mp.15863
BibTeX: Download
, , , , , , , , , , , , :
Neural network based successor representations to form cognitive maps of space and language
In: Scientific Reports (2022)
ISSN: 2045-2322
DOI: 10.1038/s41598-022-14916-1
URL: https://www.nature.com/articles/s41598-022-14916-1
BibTeX: Download
, , , , , :
Single-material beam hardening correction via an analytical energy response model for diagnostic CT
In: Medical Physics (2022)
ISSN: 0094-2405
DOI: 10.1002/mp.15787
BibTeX: Download
, , , , , :
Intrinsic Noise Improves Speech Recognition in a Computational Model of the Auditory Pathway
In: Frontiers in Neuroscience 16 (2022), Article No.: 908330
ISSN: 1662-4548
DOI: 10.3389/fnins.2022.908330
BibTeX: Download
, , , , :
Inter-species cell detection - datasets on pulmonary hemosiderophages in equine, human and feline specimens
In: Scientific Data 9 (2022)
ISSN: 2052-4463
DOI: 10.1038/s41597-022-01389-0
BibTeX: Download
, , , , , , , , , , , :
Improved cardiac T1 mapping accuracy and precision with a new hybrid MOLLI and SASHA technique: MOSHA
In: Magnetic Resonance Imaging 89 (2022), p. 33-41
ISSN: 0730-725X
DOI: 10.1016/j.mri.2022.02.004
BibTeX: Download
, , , , :
Calibration by differentiation – Self-supervised calibration for X-ray microscopy using a differentiable cone-beam reconstruction operator
In: Journal of Microscopy (2022)
ISSN: 0022-2720
DOI: 10.1111/jmi.13125
BibTeX: Download
, , , , , , , , , , :
Ultra low‐parameter denoising: Trainable bilateral filter layers in computed tomography
In: Medical Physics (2022)
ISSN: 0094-2405
DOI: 10.1002/mp.15718
BibTeX: Download
, , , , , , , , , , , :
Automatic plane adjustment of orthopedic intraoperative flat panel detector CT-volumes
In: Journal of Medical Imaging 9 (2022), p. 1-19
ISSN: 2329-4310
DOI: 10.1117/1.JMI.9.3.034001
BibTeX: Download
, , , , , , , , , :
Rigid and Non-Rigid Motion Compensation in Weight-Bearing CBCT of the Knee Using Simulated Inertial Measurements
In: IEEE Transactions on Biomedical Engineering 69 (2022), p. 1608-1619
ISSN: 0018-9294
DOI: 10.1109/TBME.2021.3123673
BibTeX: Download
, , , , , , :
Patient-specific radiation risk-based tube current modulation for diagnostic CT
In: Medical Physics (2022)
ISSN: 0094-2405
DOI: 10.1002/mp.15673
BibTeX: Download
, , , , , , , , , :
Multi-Stage Platform for (Semi-)Automatic Planning in Reconstructive Orthopedic Surgery
In: Journal of Imaging 8 (2022), Article No.: 108
ISSN: 2313-433X
DOI: 10.3390/jimaging8040108
BibTeX: Download
, , , , , :
Known operator learning and hybrid machine learning in medical imaging - A review of the past, the present, and the future
In: Progress in Biomedical Engineering 4 (2022), Article No.: 022002
ISSN: 2516-1091
DOI: 10.1088/2516-1091/ac5b13
BibTeX: Download
, , , , :
Limited parameter denoising for low-dose X-ray computed tomography using deep reinforcement learning
In: Medical Physics 49 (2022), p. 4540 - 4553
ISSN: 0094-2405
DOI: 10.1002/mp.15643
URL: https://aapm.onlinelibrary.wiley.com/doi/10.1002/mp.15643
BibTeX: Download
, , , :
Anomaly detection in IR images of PV modules using supervised contrastive learning
In: Progress in Photovoltaics (2022)
ISSN: 1062-7995
DOI: 10.1002/pip.3518
BibTeX: Download
, , , , , , , :
Advanced neural networks for classification of MRI in psoriatic arthritis, seronegative, and seropositive rheumatoid arthritis
In: Rheumatology (2022)
ISSN: 1462-0324
DOI: 10.1093/rheumatology/keac197
BibTeX: Download
, , , , , , , , , , , , , , , , :
Deep Learning-Based Classification of Inflammatory Arthritis by Identification of Joint Shape Patterns—How Neural Networks Can Tell Us Where to “Deep Dive” Clinically
In: Frontiers in Medicine 9 (2022)
ISSN: 2296-858X
DOI: 10.3389/fmed.2022.850552
BibTeX: Download
, , , , , , , :
Computer-assisted mitotic count using a deep learning–based algorithm improves interobserver reproducibility and accuracy
In: Veterinary Pathology 59 (2022), p. 211-226
ISSN: 0300-9858
DOI: 10.1177/03009858211067478
BibTeX: Download
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , :
Fiducial marker recovery and detection from severely truncated data in navigation assisted spine surgery
In: Medical Physics (2022)
ISSN: 0094-2405
DOI: 10.1002/mp.15617
BibTeX: Download
, , , , :
How to Get the Most Out of U-Net for Glacier Calving Front Segmentation
In: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2022)
ISSN: 1939-1404
DOI: 10.1109/JSTARS.2022.3148033
BibTeX: Download
, , , , , :
Systematic interpretation of confocal laser endomicroscopy: larynx and pharynx confocal imaging score Interpretazione sistematica dell’endomicroscopia confocale laser: punteggio endomicroscopico confocale laringeo e faringeo
In: Acta Otorhinolaryngologica Italica 42 (2022), p. 26-33
ISSN: 0392-100X
DOI: 10.14639/0392-100X-N1643
BibTeX: Download
, , , , , , , , , , :
FlexParser—The adaptive log file parser for continuous results in a changing world
In: Journal of Software: Evolution and Process 34 (2022), p. e2426
ISSN: 2047-7481
DOI: 10.1002/smr.2426
URL: https://onlinelibrary.wiley.com/doi/epdf/10.1002/smr.2426
BibTeX: Download
, :
Deep Learning-based Extended Field of View Computed Tomography Image Reconstruction: Influence of Network Design on Image Estimation Outside the Scan Field of View
In: Biomedical Physics and Engineering Express (2022)
ISSN: 2057-1976
DOI: 10.1088/2057-1976/ac47fc
URL: https://iopscience.iop.org/article/10.1088/2057-1976/ac47fc
BibTeX: Download
, , , , , :
Validity of tissue homogeneity in confocal laser endomicroscopy on the diagnosis of laryngeal and hypopharyngeal squamous cell carcinoma
In: European Archives of Oto-Rhino-Laryngology (2022)
ISSN: 0937-4477
DOI: 10.1007/s00405-022-07304-y
BibTeX: Download
, , , , , , , , , , , , :
DL-based inpainting for metal artifact reduction for cone beam CT using metal path length information
In: Medical Physics (2022)
ISSN: 0094-2405
DOI: 10.1002/mp.15909
BibTeX: Download
, , , :
Improving Generalization Capability of Multiorgan Segmentation Models Using Dual-Energy CT
In: IEEE Transactions on Radiation and Plasma Medical Sciences 6 (2022), p. 79-86
ISSN: 2469-7311
DOI: 10.1109/TRPMS.2021.3055199
BibTeX: Download
, , , , , , , , :
Low Latency Speech Enhancement for Hearing Aids Using Deep Filtering
In: IEEE/ACM Transactions on Audio, Speech and Language Processing 30 (2022), p. 2716-2728
ISSN: 2329-9290
DOI: 10.1109/TASLP.2022.3198548
BibTeX: Download
, , , :
Cytologic scoring of equine exercise-induced pulmonary hemorrhage: Performance of human experts and a deep learning-based algorithm
In: Veterinary Pathology (2022)
ISSN: 0300-9858
DOI: 10.1177/03009858221137582
BibTeX: Download
, , , , , , , , , , , , , , , , , :
Computer Assistance: A New Gold Standard for the Mitotic Count?
In: Journal of Comparative Pathology 191 (2022)
ISSN: 0021-9975
BibTeX: Download
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , :
Interpreting acoustic features for the assessment of Alzheimer's disease using ForestNet
In: Smart Health 26 (2022), Article No.: 100347
ISSN: 2352-6483
DOI: 10.1016/j.smhl.2022.100347
BibTeX: Download
, , , , , , , :
Book Contributions
Towards Super-resolution CEST MRI for Visualization of Small Structures
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, ThomasTolxdorff (ed.): Bildverarbeitung für die Medizin 2022, Wiesbaden: Springer Vieweg, 2022, p. 210-215 (Proceedings, German Workshop on Medical Image Computing, Heidelberg, June 26–28, 2022)
ISBN: 978-3-658-36932-3
DOI: 10.1007/978-3-658-36932-3_45
BibTeX: Download
, , , , , , , , , , , :
Multi-organ Segmentation with Partially Annotated Datasets
In: Bildverarbeitung für die Medizin 2022, Wiesbaden: Springer Vieweg, 2022, p. 216-221
ISBN: 9783658369316
DOI: 10.1007/978-3-658-36932-3_46
BibTeX: Download
, , , :
Conference Contributions
Heat Demand Forecasting with Multi-Resolutional Representation of Heterogeneous Temporal Ensemble
NeurIPS 2022 Workshop Tackling Climate Change with Machine Learning (Hybrid, December 9, 2022 - December 9, 2022)
In: NeurIPS 2022 Workshop: Tackling Climate Change with Machine Learning 2022
Open Access: https://www.climatechange.ai/papers/neurips2022/46
URL: https://www.climatechange.ai/papers/neurips2022/46
BibTeX: Download
, , , , :
CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling
International Conference on Medical Imaging with Deep Learning (Zürich, July 6, 2022 - July 8, 2022)
In: PMLR (ed.): PMLR 2022
URL: https://proceedings.mlr.press/v172/denzinger22a.html
BibTeX: Download
, , , , , , , , , , :
Neural Networks for Distinguishing Rheumatoid Arthritis from Psoriatic Arthritis by Using Magnetic Resonance Imaging
ACR Convergence 2022 (Philadelphia, PA, November 10, 2022 - November 14, 2022)
In: Arthritis Rheumatol. 2022
Open Access: https://acrabstracts.org/abstract/neural-networks-for-distinguishing-rheumatoid-arthritis-from-psoriatic-arthritis-by-using-magnetic-resonance-imaging/
URL: https://acrabstracts.org/abstract/neural-networks-for-distinguishing-rheumatoid-arthritis-from-psoriatic-arthritis-by-using-magnetic-resonance-imaging/
BibTeX: Download
, , , , , , , , , , , , , , , , :
Deep Geometric Supervision Improves Spatial Generalization in Orthopedic Surgery Planning
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 (Singapore, September 18, 2022 - September 22, 2022)
In: Wang L, Dou Q, Fletcher PT, Speidel S, Li S (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2022, Cham: 2022
DOI: 10.1007/978-3-031-16449-1_59
BibTeX: Download
, , , , , :
Multi-modal Retinal Image Registration Using a Keypoint-Based Vessel Structure Aligning Network
International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022 (Singapore, September 18, 2022 - September 22, 2022)
In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S. (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 2022
DOI: 10.1007/978-3-031-16446-0_11
URL: https://arxiv.org/pdf/2207.10506.pdf
BibTeX: Download
, , , :
Cross-lingual Self-Supervised Speech Representations for Improved Dysarthric Speech Recognition
Interspeech (Seoul, September 18, 2022 - September 22, 2022)
In: Proceedings of Interspeech 2022 2022
DOI: 10.21437/Interspeech.2022-10674
URL: https://www.isca-speech.org/archive/interspeech_2022/hernandez22_interspeech.html
BibTeX: Download
, , , , , :
Autoblog 2021: The Importance of Language Models for Spontaneous Lecture Speech
25th International Conference on Text, Speech and Dialogue (Brno, Czech Republic, September 6, 2022 - September 9, 2022)
In: Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (ed.): Text, Speech, and Dialogue 25th International Conference, TSD 2022, Brno, Czech Republic, September 6–9, 2022, Proceedings, Springer Nature Switzerland AG: 2022
DOI: 10.1007/978-3-031-16270-1_24
URL: https://link.springer.com/chapter/10.1007/978-3-031-16270-1_24
BibTeX: Download
, , , , :
Fast Automatic Liver Tumor Radiofrequency Ablation Planning via Learned Physics Model
Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 (Singapore, September 18, 2022 - September 22, 2022)
In: Springerf (ed.): 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VII, Singapore: 2022
DOI: 10.1007/978-3-031-16449-1_17
BibTeX: Download
, , , , , , :
ORCA-WHISPER: An Automatic Killer Whale Sound Type Generation Toolkit Using Deep Learning
23nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 (Incheon, Korea, September 18, 2022 - September 22, 2022)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 2022
BibTeX: Download
, , , , , :
Effect of High-Uptake Regions with Inconsistent Motion on Data Driven Respiratory Gating in SPECT Myocardial Perfusion Imaging using Digital Phantoms
In: EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, NEW YORK: 2022
BibTeX: Download
, , , , :
A Spatiotemporal Model for Precise and Efficient Fully-Automatic 3D Motion Correction in OCT
25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 (Singapore, SGP, September 18, 2022 - September 22, 2022)
In: Linwei Wang, Qi Dou, P. Thomas Fletcher, Stefanie Speidel, Shuo Li (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022
DOI: 10.1007/978-3-031-16434-7_50
BibTeX: Download
, , , , , , , :
Automated Bone Density Measurements using Deep Learning
QMSKI (Nordwijk, June 12, 2022 - June 17, 2022)
In: Bert van Rietbergen, Harry van Lenthe, Quentin Grimal (ed.): 23 2022
BibTeX: Download
, , , , , , , , :
ARIN: Adaptive Resampling and Instance Normalization for Robust Blind Inpainting of Dunhuang Cave Paintings
2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA) (Salzburg, April 19, 2022 - April 22, 2022)
DOI: 10.1109/IPTA54936.2022.9784144
BibTeX: Download
, , , , :
One-Shot Object Detection in Heterogeneous Artwork Datasets
2022 Eleventh International Conference on Image Processing Theory, Tools and Applications (IPTA) (Salzburg, Austria, April 19, 2022 - April 22, 2022)
DOI: 10.1109/IPTA54936.2022.9784141
BibTeX: Download
, , , , , , , , , , , :
Unsupervised OCT Denoising using speckle split
In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, ROCKVILLE: 2022
BibTeX: Download
, , , , , , :
CLASSIFICATION OF PSORIATIC ARTHRITIS, SERONEGATIVE RHEUMATOID ARTHRITIS, AND SEROPOSITIVE RHEUMATOID ARTHRITIS USING DEEP LEARNING ON MAGNETIC RESONANCE IMAGING
EULAR Congress (Kopenhagen, June 1, 2022 - June 4, 2022)
In: Prof Josef Smolen (ed.): Supplement 1 2022
DOI: 10.1136/annrheumdis-2022-eular.966
URL: https://ard.bmj.com/content/81/Suppl_1/194.2
BibTeX: Download
, , , , , , , , , , , , , , , , :
Automatic identification of Microaneurysms in Diabetic Retinopathy patients utilizing an nn-UNet
In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, ROCKVILLE: 2022
BibTeX: Download
, , , , , :
Is Multitask Learning Always Better?
15th IAPR International Workshop on Document Analysis Systems, DAS 2022 (La Rochelle, May 22, 2022 - May 25, 2022)
In: Seiichi Uchida, Elisa Barney, Véronique Eglin (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022
DOI: 10.1007/978-3-031-06555-2_45
BibTeX: Download
, , , :
Combining Visual and Linguistic Models for a Robust Recipient Line Recognition in Historical Documents
15th IAPR International Workshop on Document Analysis Systems, DAS 2022 (La Rochelle, FRA, May 22, 2022 - May 25, 2022)
In: Seiichi Uchida, Elisa Barney, Véronique Eglin (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022
DOI: 10.1007/978-3-031-06555-2_40
BibTeX: Download
, , , :
Improvement of Deep Learning-based Auto-detection of Brain Metastases by Integrating previous MRI Images
In: STRAHLENTHERAPIE UND ONKOLOGIE, HEIDELBERG: 2022
BibTeX: Download
, , , , , , , , , , , , :
Distinguishing Progression and Radionecrosis in large progressive Brain Metastases after Stereotaxy by integrating Radiomics, Dose Radiomics and clinical Risk Factors
In: STRAHLENTHERAPIE UND ONKOLOGIE, HEIDELBERG: 2022
BibTeX: Download
, , , , , , , , , , :
ORCA-PARTY: An Automatic Killer Whale Sound Type Separation Toolkit Using Deep Learning
International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Singapore, May 22, 2022 - May 27, 2022)
In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022
BibTeX: Download
, , , , , :
Deep Learning-Based Respiratory Motion Correction in Free-Breathing Abodiminal Diffusion-Weighted Imaging
Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (London, May 7, 2022 - May 12, 2022)
BibTeX: Download
, , , , :
Identification of High-risk Metastases in MRI Follow-up after Stereotaxic by using Radiomics and Delta Radiomics
In: STRAHLENTHERAPIE UND ONKOLOGIE, HEIDELBERG: 2022
BibTeX: Download
, , , , , , , , , , :
Deep Learning based Prediction of Glioma Growth by using "Growing Neural Cellular Automata"
In: STRAHLENTHERAPIE UND ONKOLOGIE, HEIDELBERG: 2022
BibTeX: Download
, , , , , , , :
Verbesserung der Deep Learning basierten Autodetektion von Hirnmetastasen durch Integration von MRT-Voraufnahmen
DEGRO 2022 (Stuttgart, May 26, 2022 - May 28, 2022)
In: Strahlentherapie und Onkologie 2022
DOI: 10.1007/s00066-022-01932-3
URL: https://link.springer.com/article/10.1007/s00066-022-01932-3
BibTeX: Download
, , , , , , , , , , , , :
Deep Learning basierte Vorhersage von Gliomwachstum mittels Growing Neural Cellular Automata
DEGRO 2022 (Stuttgart, May 26, 2022 - May 28, 2022)
In: Strahlentherapie und Onkologie 2022
DOI: 10.1007/s00066-022-01932-3
URL: https://link.springer.com/article/10.1007/s00066-022-01932-3
BibTeX: Download
, , , , , , , :
Form Follows Function: Smart Network Design Enables Zero-shot Network Reuse
German Workshop on Medical Image Computing, 2022 (Heidelberg, DEU, June 26, 2022 - June 28, 2022)
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2022
DOI: 10.1007/978-3-658-36932-3_26
BibTeX: Download
, , , , , , :
Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging
German Workshop on Medical Image Computing, 2022 (Heidelberg, DEU, June 26, 2022 - June 28, 2022)
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2022
DOI: 10.1007/978-3-658-36932-3_60
BibTeX: Download
, , , , , , :
A Keypoint Detection and Description Network Based on the Vessel Structure for Multi-modal Retinal Image Registration
Bildverarbeitung für die Medizin 2022 (Heidelberg, June 26, 2022 - June 28, 2022)
In: Maier-Hein, K., Deserno, T.M., Handels, H., Maier, A., Palm, C., Tolxdorff, T. (ed.): Bildverarbeitung für die Medizin 2022, Wiesbaden: 2022
DOI: 10.1007/978-3-658-36932-3_12
URL: https://arxiv.org/pdf/2201.02242.pdf
BibTeX: Download
, , , , , , :
Automatic Switching of Organ Programs in Interventional X-ray Machines Using Deep Learning
Bildverarbeitung für die Medizin 2022 (Heidelberg, June 26, 2022 - June 28, 2022)
In: Maier-Hein K, Deserno TM, Handels H, Maier A, Palm C, Tolxdorff T (ed.): Bildverarbeitung für die Medizin 2022, Wiesbaden: 2022
DOI: 10.1007/978-3-658-36932-3_20
BibTeX: Download
, , :
First Steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain
German Workshop on Medical Image Computing, 2022 (Heidelberg, DEU, June 26, 2022 - June 28, 2022)
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2022
DOI: 10.1007/978-3-658-36932-3_48
BibTeX: Download
, , , , , , , :
Abstract: Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery
Bildverarbeitung für die Medizin 2022 (Heidelberg, June 26, 2022 - June 28, 2022)
In: Maier-Hein K, Deserno TM, Handels H, Maier A, Palm C, Tolxdorff T (ed.): Bildverarbeitung für die Medizin, Wiesbaden: 2022
DOI: 10.1007/978-3-658-36932-3_17
BibTeX: Download
, , , , , :
GAN-based Augmentation of Mammograms to Improve Breast Lesion Detection
Bildverarbeitung für die Medizin 2022 (Heidelberg, June 26, 2022 - June 28, 2022)
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2022, Wiesbaden: 2022
DOI: 10.1007/978-3-658-36932-3_66
BibTeX: Download
, , , :
Training Deep Learning Models for 2D Spine X-rays Using Synthetic Images and Annotations Created from 3D CT Volumes
Bildverarbeitung für die Medizin 2022 (Heidelberg, June 26, 2022 - June 28, 2022)
In: Maier-Hein K, Deserno TM, Handels H, Maier A, Palm C, Tolxdorff T (ed.): Bildverarbeitung für die Medizin 2022, Wiesbaden: 2022
DOI: 10.1007/978-3-658-36932-3_13
BibTeX: Download
, , , , , , , :
Normalization techniques for CNN based analysis of surgical cone beam CT volumes
SPIE Medical Imaging 2022 (San Diego, California, February 20, 2022 - March 28, 2022)
In: Išgum I, Colliot O (ed.): Medial Imaging 2022, Image Processing 2022
DOI: 10.1117/12.2606973
BibTeX: Download
, , , , , , , :
Deep learning based denoising of mammographic x-ray images: an investigation of loss functions and their detail-preserving properties
Medical Imaging 2022: Physics of Medical Imaging (Virtual, Online, March 21, 2022 - March 27, 2022)
In: Wei Zhao, Lifeng Yu (ed.): Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2022
DOI: 10.1117/12.2612403
BibTeX: Download
, , , , , , , :
Direct and indirect image rotation estimation methods of orthopedic x-ray images
SPIE Medical Imaging 2022 (San Diego, CA, February 20, 2022 - March 28, 2022)
In: Išgum I, Colliot O (ed.): Medical Imaging 2022: Image Processing 2022
DOI: 10.1117/12.2606045
BibTeX: Download
, , , :
Skinscan: 3D Dermatologic Diagnosis and Documentation with Commodity Devices
Asilomar Conference on Signals, Systems, and Computers (Pacific Grove, United States, October 31, 2021 - November 3, 2021)
In: IEEE (ed.): Asilomar Proceedings 2022
DOI: 10.1109/IEEECONF53345.2021.9723389
BibTeX: Download
, , , , , , , , , :
Influence of X-Ray Radiation on Historical Paper
11th Conference on Industrial Computed Tomography (Wels, Austria, February 8, 2022 - February 11, 2022)
Open Access: https://www.ndt.net/search/docs.php3?id=26625
URL: https://www.ndt.net/article/ctc2022/papers/ICT2022_paper_id264.pdf
BibTeX: Download
, , , :
Detection of Large Vessel Occlusions using Deep Learning by Deforming Vessel Tree Segmentations
Bildverarbeitung für die Medizin 2022 (Deutsches Krebsforschungszentrum, Heidelberg, Deutschland, March 20, 2022 - March 22, 2022)
In: Bildverarbeitung für die Medizin 2022 2022
BibTeX: Download
, , , , :
Fully automated Machine Learning-based selection of optimal bSSFP frequency offset for artifact reduction in cardiac MRI
Artificial Intelligence in Cardiovascular Magnetic Resonance Imaging - A Joint Summit of the EACVI and SCMR (London, May 5, 2022 - May 6, 2022)
BibTeX: Download
, , , , :
Melanoma Segmentation and Classification Employing Imaging and Graph Encodings
7th IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2022 (Washington, DC, November 17, 2022 - November 19, 2022)
In: Proceedings - 2022 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, CHASE 2022 2022
DOI: 10.1145/3551455.3559153
BibTeX: Download
, , , , , :
DeepFilterNet2: Towards Real-Time Speech Enhancement on Embedded Devices for Full-Band Audio
International Workshop on Acoustic Signal Enhancement (IWAENC 2022) (Bamberg, September 5, 2022 - September 8, 2022)
In: International Workshop on Acoustic Signal Enhancement (IWAENC 2022) 2022
Open Access: https://arxiv.org/abs/2205.05474
URL: https://github.com/Rikorose/DeepFilterNet
BibTeX: Download
, , , :
DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio based on Deep Filtering
ICASSP 2022 (Singapore, May 22, 2022 - May 27, 2022)
In: ICASSP 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2022
Open Access: https://arxiv.org/abs/2110.05588
URL: https://github.com/Rikorose/DeepFilterNet
BibTeX: Download
, , , :
Learned Cone-Beam CT Reconstruction Using Neural Ordinary Differential Equations
7th International Conference on Image Formation in X-Ray Computed Tomography (Baltimore, June 12, 2022 - June 16, 2022)
In: Proceedings Volume 12304, 7th International Conference on Image Formation in X-Ray Computed Tomography; 1230409 (2022) 2022
DOI: 10.1117/12.2646442
BibTeX: Download
, , , , , :
Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging
German Workshop on Medical Image Computing, 2022 (Heidelberg, DEU, June 26, 2022 - June 28, 2022)
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2022
DOI: 10.1007/978-3-658-36932-3_56
BibTeX: Download
, , , , , , , , :
CoachLea: an Android Application to Evaluate the Speech Production and Perception of Children with Hearing Loss
23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 (Incheon, KOR, September 18, 2022 - September 22, 2022)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022
BibTeX: Download
, , , , , , , , :
Improving the Sensitivity to Myocardial Scar in Automatic Segmentations of Left Ventricular Myocardium on LGE Images
Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (London, May 7, 2022 - May 12, 2022)
In: Proceedings of the Joint Annual Meeting ISMRM-ESMRMB 2022 & ISMRT Annual Meeting 2022
URL: https://index.mirasmart.com/ISMRM2022/PDFfiles/1014.html
BibTeX: Download
, , , , , , :
Diffeomorphic Image Registration for CINE Cardio MR images using deep learning
Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (London, May 7, 2022 - May 12, 2022)
BibTeX: Download
, , , :
Dissecting Glaciers - Can an Automated Bio-Medical Image Segmentation Tool also Segment Glaciers?
EGU General Assembly 2022 (Vienna, Austria, May 23, 2022 - May 27, 2022)
DOI: 10.5194/egusphere-egu22-2726
BibTeX: Download
, , , , :
Effect of Random Histogram Equalization on Breast Calcification Analysis Using Deep Learning
German Workshop on Medical Image Computing, 2022
DOI: 10.1007/978-3-658-36932-3_38
BibTeX: Download
, , :
Efficient Exploitation of Image Repetitions in MR Reconstruction
Medical Imaging with Deep Learning (Zürich)
Open Access: https://openreview.net/forum?id=7CnEuy4_Iwv
BibTeX: Download
, , , :
Fully automatic AI-based valve motion parameter extraction on long axis CINE images – application on N=11000 patient datasets
Artificial Intelligence in Cardiovascular Magnetic Resonance Imaging - A Joint Summit of the EACVI and SCMR (London, May 5, 2022 - May 6, 2022)
BibTeX: Download
, , , , , , , :
Fully automatic AI-based extraction of mitral valve motion parameters on long axis CINE images – validation and application on N=2000 patient datasets
Society for Cardiovascular Magnetic Resonance 25th Annual Scientific Sessions (Fort Lauderdale, February 2, 2022 - February 5, 2022)
BibTeX: Download
, , , , , , , :
Cross-Domain Metal Segmentation for CBCT Metal Artifact Reduction
7th International Conference on Image Formation in X-Ray Computed Tomography (Online, June 12, 2022 - June 16, 2022)
In: Joseph Webster Stayman (ed.): Proceedings of SPIE - The International Society for Optical Engineering 2022
DOI: 10.1117/12.2646382
BibTeX: Download
, , , :
Myocardial scar segmentation on cardiac LGE images with reduced contrast agent dose using deep learning
24. Jahrestagung der Deutschen Sektion der ISMRM (Aachen, September 21, 2022 - September 24, 2022)
In: Abstractband der 24. Jahrestagung der Deutschen Sektion der ISMRM 2022
BibTeX: Download
, , , , , , :
Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy
German Workshop on Medical Image Computing, 2022 (Heidelberg, DEU, June 26, 2022 - June 28, 2022)
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2022
DOI: 10.1007/978-3-658-36932-3_22
BibTeX: Download
, , , , , , , , , , , :
SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks
OAGM Workshop 2021 (, November 24, 2021 - November 25, 2021)
In: Proceedings of the OAGM Workshop 2021. Computer Vision and Pattern Analysis Across Domains 2022
DOI: 10.3217/978-3-85125-869-1-10
URL: https://openlib.tugraz.at/download.php?id=621f329186973&location=browse
BibTeX: Download
, , , , :
Building Brains: Subvolume Recombination for Data Augmentation in Large Vessel Occlusion Detection
Medical Image Computing and Computer Assisted Intervention - MICCAI 2022 (Singapore, September 18, 2022 - September 22, 2022)
DOI: 10.1007/978-3-031-16437-8_61
URL: https://link.springer.com/chapter/10.1007/978-3-031-16437-8_61
BibTeX: Download
, , , , , , , :
Offer Proprietary Algorithms Still Protection of Intellectual Property in the Age of Machine Learning?: A Case Study Using Dual Energy CT Data
German Workshop on Medical Image Computing, 2022 (Heidelberg, DEU, June 26, 2022 - June 28, 2022)
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2022
DOI: 10.1007/978-3-658-36932-3_70
BibTeX: Download
, , , , :
Organ-Specific vs. Patient Risk-Specific Tube Current Modulation in Thorax CT Scans Covering the Female Breast
7th International Conference on Image Formation in X-Ray Computed Tomography (Virtual, Online, June 12, 2022 - June 16, 2022)
In: Joseph Webster Stayman (ed.): Proceedings of SPIE - The International Society for Optical Engineering 2022
DOI: 10.1117/12.2646582
BibTeX: Download
, , , , , , , , :
ODOR: The ICPR2022 ODeuropa Challenge on Olfactory Object Recognition
26th International Conference on Pattern Recognition / 8th International Workshop on Image Mining - Theory and Applications (IMTA) (Montreal)
In: 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), NEW YORK: 2022
DOI: 10.1109/ICPR56361.2022.9956542
BibTeX: Download
, , , , , :
PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant Using Interventional Radiology Workflow Analysis
25th International Conference on Text, Speech, and Dialogue, TSD 2022 (Brno, September 6, 2022 - September 9, 2022)
In: Petr Sojka, Aleš Horák, Ivan Kopeček, Karel Pala (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022
DOI: 10.1007/978-3-031-16270-1_38
BibTeX: Download
, , , , , , , :
CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling
Medical Imaging with Deep Learning (Zürich, July 6, 2022 - July 8, 2022)
Open Access: https://openreview.net/pdf?id=vVPMifME8b
BibTeX: Download
, , , , , , , , , , :
Neural network based successor representations to form cognitive maps
Bernstein Conference (Berlin, September 13, 2022 - September 16, 2022)
BibTeX: Download
, , :
Reproducibility in dual energy CT: the impact of a projection domain material decomposition method
7th International Conference on Image Formation in X-Ray Computed Tomography (Online, June 12, 2022 - June 16, 2022)
In: Joseph Webster Stayman (ed.): Proceedings of SPIE - The International Society for Optical Engineering 2022
DOI: 10.1117/12.2646523
BibTeX: Download
, , , , :
Automated Time Adjusted Myocardial Inversion Time Selection for Late Gadolinium Enhancement Imaging – Validation and Application on Patient Datasets
Joint Annual Meeting ISMRM-ESMRMB & ISMRT 31st Annual Meeting (London, May 7, 2022 - May 12, 2022)
BibTeX: Download
, , , , , , , , , , , , , :
Super-Resolution for CEST MRI
Joint annual meeting ISMRM-ESMRMB ISMRT (London, England, May 7, 2022 - May 12, 2022)
URL: https://submissions.mirasmart.com/ISMRM2022/itinerary/PresentationDetail.aspx?evdid=3032
BibTeX: Download
, , , , , , , , , , , , , :
Supervised Contrastive Learning for Robust and Efficient Multi-modal Emotion and Sentiment Analysis
26th International Conference on Pattern Recognition / 8th International Workshop on Image Mining - Theory and Applications (IMTA) (Montreal, CANADA)
In: 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), NEW YORK: 2022
DOI: 10.1109/ICPR56361.2022.9956637
BibTeX: Download
, , :
Thrombus Detection in Non-Contrast Head CT using Graph Deep Learning
Bildverarbeitung in der Medizin 2022 (Heidelberg)
In: Bildverarbeitung in der Medizin 2022
BibTeX: Download
, , , , , :
Tibia Cortical Bone Segmentation in Micro-CT and X-ray Microscopy Data Using a Single Neural Network
German Workshop on Medical Image Computing, 2022 (Heidelberg, June 26, 2022 - June 28, 2022)
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2022
DOI: 10.1007/978-3-658-36932-3_68
BibTeX: Download
, , , , , , , , , , , , :
Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings
23rd Annual Conference of the International Speech Communication Association, INTERSPEECH 2022 (Incheon, September 18, 2022 - September 22, 2022)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2022
DOI: 10.21437/Interspeech.2022-10883
BibTeX: Download
, , , , , , , , , , :
Superpixel Pre-segmentation of HER2 Slides for Efficient Annotation
German Workshop on Medical Image Computing, 2022 (Heidelberg, DEU, June 26, 2022 - June 28, 2022)
In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2022
DOI: 10.1007/978-3-658-36932-3_54
BibTeX: Download
, , , , , , , , , , :
X-ray CT Data Completeness Condition for Sets of Arbitrary Projections
7th International Conference on Image Formation in X-Ray Computed Tomography (Virtual, Online, June 12, 2022 - June 16, 2022)
In: Joseph Webster Stayman (ed.): Proceedings of SPIE - The International Society for Optical Engineering 2022
DOI: 10.1117/12.2646435
BibTeX: Download
, , :
2021
Journal Articles
View-Consistent Metal Segmentation in the Projection Domain for Metal Artifact Reduction in CBCT – An Investigation of Potential Improvement
In: Journal Machine Learning for Biomedical Imaging December 2021 issue (2021)
ISSN: 2766-905X
Open Access: https://www.melba-journal.org/pdf/2021:018.pdf
BibTeX: Download
, , , :
FIN-PRINT a fully-automated multi-stage deep-learning-based framework for the individual recognition of killer whales
In: Scientific Reports 11 (2021), p. 1-16
ISSN: 2045-2322
DOI: 10.1038/s41598-021-02506-6
BibTeX: Download
, , , , , , , :
Machine Learning-Based HIV Risk Estimation Using Incidence Rate Ratios
In: Frontiers in Reproductive Health 3 (2021)
ISSN: 2673-3153
DOI: 10.3389/frph.2021.756405
BibTeX: Download
, , :
DEDDIAG, a domestic electricity demand dataset of individual appliances in Germany
In: Scientific Data 8 (2021), Article No.: 176
ISSN: 2052-4463
DOI: 10.1038/s41597-021-00963-2
BibTeX: Download
, , :
Deep action learning enables robust 3D segmentation of body organs in various CT and MRI images
In: Scientific Reports 11 (2021), Article No.: 3311
ISSN: 2045-2322
DOI: 10.1038/s41598-021-82370-6
BibTeX: Download
, , , , , , , , :
Glaucoma classification in 3 x 3 mm en face macular scans using deep learning in a different plexus
In: Biomedical Optics Express 12 (2021), p. 7434-7444
ISSN: 2156-7085
DOI: 10.1364/BOE.439991
URL: https://opg.optica.org/boe/fulltext.cfm?uri=boe-12-12-7434&id=464725
BibTeX: Download
, , , , , , , , :
EXACT: a collaboration toolset for algorithm-aided annotation of images with annotation version control
In: Scientific Reports 11 (2021), Article No.: 4343
ISSN: 2045-2322
DOI: 10.1038/s41598-021-83827-4
BibTeX: Download
, , , , , , , , , :
Robust partial Fourier reconstruction for diffusion-weighted imaging using a recurrent convolutional neural network
In: Magnetic Resonance in Medicine (2021)
ISSN: 0740-3194
DOI: 10.1002/mrm.29100
BibTeX: Download
, , , :
Rule-Based Models for Risk Estimation and Analysis of In-hospital Mortality in Emergency and Critical Care
In: Frontiers in Medicine 8 (2021)
ISSN: 2296-858X
DOI: 10.3389/fmed.2021.785711
BibTeX: Download
, , :
Extrapolation of Ventricular Activation Times From Sparse Electroanatomical Data Using Graph Convolutional Neural Networks
In: Frontiers in Physiology 12 (2021)
ISSN: 1664-042X
DOI: 10.3389/fphys.2021.694869
BibTeX: Download
, , , , , , , , :
On Mathews Correlation Coefficient and Improved Distance Map Loss for Automatic Glacier Calving Front Segmentation in SAR Imagery
In: IEEE Transactions on Geoscience and Remote Sensing (2021), p. 1-12
ISSN: 0196-2892
DOI: 10.1109/TGRS.2021.3115883
URL: https://arxiv.org/abs/2102.08312
BibTeX: Download
, , , , , , :
Monocular multi-person pose estimation: A survey
In: Pattern Recognition 118 (2021)
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2021.108046
BibTeX: Download
, , , , , , , , , , :
A disease network-based deep learning approach for characterizing melanoma
In: International Journal of Cancer (2021)
ISSN: 0020-7136
DOI: 10.1002/ijc.33860
BibTeX: Download
, , , , , , , :
Predicting Anxiety in Routine Palliative Care Using Bayesian-Inspired Association Rule Mining
In: Frontiers in Digital Health 3 (2021)
ISSN: 2673-253X
DOI: 10.3389/fdgth.2021.724049
BibTeX: Download
, , , , , , , :
ChainLineNet: Deep-Learning-Based Segmentation and Parameterization of Chain Lines in Historical Prints
In: Journal of Imaging 7 (2021), Article No.: 120
ISSN: 2313-433X
DOI: 10.3390/jimaging7070120
URL: https://www.mdpi.com/2313-433X/7/7/120
BibTeX: Download
, , , :
Automating Time-Consuming and Error-Prone Manual Nursing Management Documentation Processes
In: CIN - Computers, Informatics, Nursing Publish Ahead of Print (2021)
ISSN: 1538-2931
DOI: 10.1097/CIN.0000000000000790
BibTeX: Download
, , , , :
The potential of omics technologies for the treatment of immune‐mediated inflammatory diseases
In: International Journal of Molecular Sciences 22 (2021), Article No.: 7506
ISSN: 1422-0067
DOI: 10.3390/ijms22147506
BibTeX: Download
, , , , , , , , :
Impact of intraepithelial capillary loops and atypical vessels in confocal laser endomicroscopy for the diagnosis of laryngeal and hypopharyngeal squamous cell carcinoma
In: European Archives of Oto-Rhino-Laryngology (2021)
ISSN: 0937-4477
DOI: 10.1007/s00405-021-06954-8
BibTeX: Download
, , , , , , , , , :
Joint Super-Resolution and Rectification for Solar Cell Inspection
In: IEEE Journal of Photovoltaics 11 (2021), p. 1051-1058
ISSN: 2156-3381
DOI: 10.1109/JPHOTOV.2021.3072229
URL: https://arxiv.org/pdf/2011.05003.pdf
BibTeX: Download
, , , , , , , , :
Segmentation of Photovoltaic Module Cells in Uncalibrated Electroluminescence Images
In: Machine Vision and Applications 32 (2021), Article No.: 84
ISSN: 1432-1769
DOI: 10.1007/s00138-021-01191-9
URL: https://arxiv.org/pdf/1806.06530.pdf
BibTeX: Download
(Techreport)
, , , , , , :
Deep Learning-based Pipeline for Module Power Prediction from EL Measurements
In: Progress in Photovoltaics: Research and Applications (2021)
ISSN: 1099-159X
DOI: 10.1002/pip.3416
BibTeX: Download
, , , , , , , , , , :
3D Non-Rigid Alignment of Low-Dose Scans Allows to Correct for Saturation in Lower Extremity Cone-Beam CT
In: IEEE Access 9 (2021), p. 71821-71831
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2021.3079368
BibTeX: Download
, , , , :
Deep learning methods allow fully automated segmentation of metacarpal bones to quantify volumetric bone mineral density
In: Scientific Reports 11 (2021), p. 9697
ISSN: 2045-2322
DOI: 10.1038/s41598-021-89111-9
BibTeX: Download
, , , , , , , :
Analysis and visualization of sleep stages based on deep neural networks
In: Neurobiology of Sleep and Circadian Rhythms 10 (2021), Article No.: 100064
ISSN: 2451-9944
DOI: 10.1016/j.nbscr.2021.100064
BibTeX: Download
, , , , , , :
Data Extrapolation from Learned Prior Images for Truncation Correction in Computed Tomography
In: IEEE Transactions on Medical Imaging (2021), Article No.: 9400411
ISSN: 0278-0062
DOI: 10.1109/TMI.2021.3072568
URL: https://ieeexplore.ieee.org/document/9400411
BibTeX: Download
, , , , :
Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation
In: Small Methods (2021)
ISSN: 2366-9608
DOI: 10.1002/smtd.202100223
URL: https://onlinelibrary.wiley.com/doi/full/10.1002/smtd.202100223
BibTeX: Download
, , , , , , , , , , , , , , :
Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems
In: Medical Image Analysis 70 (2021), Article No.: ARTN 102028
ISSN: 1361-8415
DOI: 10.1016/j.media.2021.102028
URL: https://www.sciencedirect.com/science/article/abs/pii/S1361841521000748
BibTeX: Download
, , , , , :
Self-Supervised Learning of Domain-Invariant Local Features for Robust Visual Localization under Challenging Conditions
In: IEEE Robotics and Automation Letters (2021)
ISSN: 2377-3766
DOI: 10.1109/LRA.2021.3059571
URL: https://ieeexplore.ieee.org/document/9354898
BibTeX: Download
, , , , :
PMS-GAN: Parallel Multi-Stream Generative Adversarial Network for Multi-Material Decomposition in Spectral Computed Tomography
In: IEEE Transactions on Medical Imaging 40 (2021), p. 571-584
ISSN: 0278-0062
DOI: 10.1109/TMI.2020.3031617
BibTeX: Download
, , , , , , , , , , :
Weakly Supervised Deep Learning-Based Optical Coherence Tomography Angiography
In: IEEE transactions on medical imaging 40 (2021), p. 688-698
ISSN: 1558-254X
DOI: 10.1109/TMI.2020.3035154
BibTeX: Download
, , , , , , , , , , , , :
Implications of Experiment Set-Ups for Residential Water End-Use Classification
In: Water 13 (2021), Article No.: 236
ISSN: 2073-4441
DOI: 10.3390/w13020236
URL: https://www.mdpi.com/2073-4441/13/2/236
BibTeX: Download
, , , , , , , :
“Keep it simple, scholar”: an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging
In: International Journal of Computer Assisted Radiology and Surgery (2021)
ISSN: 1861-6410
DOI: 10.1007/s11548-021-02340-1
BibTeX: Download
, , , , :
Intraoperative free margins assessment of oropharyngeal squamous cell carcinoma with confocal laser endomicroscopy: a pilot study
In: European Archives of Oto-Rhino-Laryngology (2021)
ISSN: 0937-4477
DOI: 10.1007/s00405-021-06659-y
BibTeX: Download
, , , , , , , , , :
MR-contrast-aware image-to-image translations with generative adversarial networks
In: International Journal of Computer Assisted Radiology and Surgery (2021)
ISSN: 1861-6410
DOI: 10.1007/s11548-021-02433-x
BibTeX: Download
, , , :
IJCARS: BVM 2021 special issue
In: International Journal of Computer Assisted Radiology and Surgery (2021)
ISSN: 1861-6410
DOI: 10.1007/s11548-021-02534-7
BibTeX: Download
, , , , , :
Hardware Failure Prediction on Imbalanced Times Series Data: Generation of Artificial Data Using Gaussian Process and Applying LSTMFCN to Predict Broken Hardware
In: Journal of Digital Imaging (2021)
ISSN: 0897-1889
DOI: 10.1007/s10278-020-00411-4
BibTeX: Download
, , :
Feasibility of intraoperative assessment of safe surgical margins during laryngectomy with confocal laser endomicroscopy: A pilot study
In: Auris Nasus Larynx (2021)
ISSN: 0385-8146
DOI: 10.1016/j.anl.2021.01.005
BibTeX: Download
, , , , , , , , , , , , :
Fast online-customized (FOCUS) parallel transmission pulses: A combination of universal pulses and individual optimization
In: Magnetic Resonance in Medicine (2021)
ISSN: 0740-3194
DOI: 10.1002/mrm.28643
BibTeX: Download
, , , , , , , , , :
Enhancing Collaborative Road Scene Reconstruction with Unsupervised Domain Alignment
In: Machine Vision and Applications (2021)
ISSN: 1432-1769
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
URL: https://www.osapublishing.org/boe/fulltext.cfm?uri=boe-12-1-125
BibTeX: Download
, , , , , , , , , :
Validation of a classification and scoring system for the diagnosis of laryngeal and pharyngeal squamous cell carcinomas by confocal laser endomicroscopy
In: Brazilian Journal of Otorhinolaryngology (2021)
ISSN: 1808-8694
DOI: 10.1016/j.bjorl.2021.06.002
BibTeX: Download
, , , , , , , , , , :
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
BibTeX: Download
, , , , , , , :
Task-Specific Trajectory Optimisation for Twin-Robotic X-Ray Tomography
In: IEEE Transactions on Computational Imaging 7 (2021), p. 894-907
ISSN: 2333-9403
DOI: 10.1109/TCI.2021.3102824
BibTeX: Download
, , , , , :
Photoluminescence for Defect Detection on Full-Sized Photovoltaic Modules
In: IEEE Journal of Photovoltaics (2021)
ISSN: 2156-3381
DOI: 10.1109/JPHOTOV.2021.3099739
BibTeX: Download
, , , , , , , , :
On Mathews Correlation Coefficient and Improved Distance Map Loss for Automatic Glacier Calving Front Segmentation in SAR Imagery
In: IEEE Transactions on Geoscience and Remote Sensing (2021)
ISSN: 0196-2892
DOI: 10.1109/TGRS.2021.3115883
URL: https://ieeexplore.ieee.org/abstract/document/9563069?casa_token=BWqHgVWnLLIAAAAA:P-LK6bxKBOnHCNlMedOSEGucnMnB7KYgd4JWINQNvaG82XcLpOsLJsd3Kqk2LzGPjRWq3dsEZ4o
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , , , , , :
Enhanced Magnetic Resonance Image Synthesis with Contrast-Aware Generative Adversarial Networks
In: Journal of Imaging (2021)
ISSN: 2313-433X
DOI: 10.3390/jimaging7080133
BibTeX: Download
, , , :
X-ray Scatter Estimation Using Deep Splines
In: IEEE Transactions on Medical Imaging (2021)
ISSN: 0278-0062
DOI: 10.1109/TMI.2021.3074712
BibTeX: Download
, , , , , , , , , :
An Automated Deep Learning Method for Tile AO/OTA Pelvic Fracture Severity Grading from Trauma whole-Body CT
In: Journal of Digital Imaging (2021)
ISSN: 0897-1889
DOI: 10.1007/s10278-020-00399-x
BibTeX: Download
, , , , , , , , , :
Adapt Everywhere: Unsupervised Adaptation of Point-Clouds and Entropy Minimisation for Multi-modal Cardiac Image Segmentation
In: IEEE transactions on medical imaging (2021)
ISSN: 1558-254X
DOI: 10.1109/TMI.2021.3066683
BibTeX: Download
, , , , :
Comparison of methods for sensitivity correction in Talbot–Lau computed tomography
In: International Journal of Computer Assisted Radiology and Surgery (2021)
ISSN: 1861-6410
DOI: 10.1007/s11548-021-02487-x
BibTeX: Download
, , , :
Confocal laser endomicroscopy of head and neck squamous cell carcinoma: a systematic review Konfokale Laser-Endomikroskopie des Kopf-Hals-Plattenepithelkarzinoms: eine systematische Übersicht
In: Laryngo-Rhino-Otologie (2021)
ISSN: 0935-8943
DOI: 10.1055/a-1339-1635
BibTeX: Download
, , , , , , , :
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
, , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , :
Deep learning-based ECG-free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging
In: IEEE Transactions on Medical Imaging (2021)
ISSN: 0278-0062
BibTeX: Download
, , , , , , , :
Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment
In: Medical Image Analysis (2021)
ISSN: 1361-8415
DOI: 10.1016/j.media.2021.102087
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
BibTeX: Download
, , , , , , , , , :
Book Contributions
Graph Convolutional Regression of Cardiac Depolarization from Sparse Endocardial Maps
In: Esther Puyol Anton, Mihaela Pop, Maxime Sermesant, Victor Campello, Alain Lalande, Karim Lekadir, Avan Suinesiaputra, Oscar Camara, Alistair Young (ed.): Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges, 2021, p. 23-34
ISBN: 9783030681067
DOI: 10.1007/978-3-030-68107-4_3
BibTeX: Download
, , , , , , , , :
Conference Contributions
Prediction of Household-level Heat-Consumption using PSO enhanced SVR Model
Tackling Climate Change with Machine Learning: workshop at NeurIPS 2021 (Online, December 14, 2021 - December 14, 2021)
In: Tackling Climate Change with Machine Learning: workshop at NeurIPS 2021, https://www.climatechange.ai/events/neurips2021.html#accepted-works: 2021
Open Access: https://www.climatechange.ai/papers/neurips2021/42/paper.pdf
URL: https://www.climatechange.ai/events/neurips2021.html#accepted-works
BibTeX: Download
, , :
Synthetic Glacier SAR Image Generation from Arbitrary Masks Using Pix2Pix Algorithm
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (Brussels, July 11, 2021 - July 16, 2021)
DOI: 10.1109/IGARSS47720.2021.9553853
URL: https://arxiv.org/abs/2101.03252
BibTeX: Download
, , , , , , :
Glacier Calving Front Segmentation Using Attention U-Net
2021 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) (Brussels, July 11, 2021 - July 16, 2021)
DOI: 10.1109/IGARSS47720.2021.9555067
URL: https://arxiv.org/abs/2101.03247
BibTeX: Download
, , , , , :
Bayesian U-Net for Segmenting Glaciers in Sar Imagery
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS (Brussels, July 11, 2021 - July 16, 2021)
DOI: 10.1109/IGARSS47720.2021.9554292
URL: https://arxiv.org/abs/2101.03249
BibTeX: Download
, , , , , :
InSE-NET: A Perceptually Coded Audio Quality Model based on CNN
151st Audio Engineering Society (AES) Convention (Las Vegas, Nevada, USA, October 11, 2021 - October 13, 2021)
In: Audio Engineering Society Convention 151 2021
BibTeX: Download
, , , :
Deep Iterative 2D/3D Registration
MICCAI 2021 - 24th International Conference on Medical Image Computing and Computer-Assisted Intervention (Strasbourg, September 27, 2021 - October 1, 2021)
In: Marleen de Bruijne, Philippe C. Cattin, Stéphane Cotin, Nicolas Padoy, Stefanie Speidel, Yefeng Zheng, Caroline Essert (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 2021
DOI: 10.1007/978-3-030-87202-1_37
BibTeX: Download
, , , , :
SyNCCT: Synthetic Non-Contrast Images of the Brain from Single-Energy Computed Tomography Angiography
Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 (Strasbourg, September 27, 2021 - October 1, 2021)
In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Cham: 2021
DOI: 10.1007/978-3-030-87234-2_64
URL: https://link.springer.com/chapter/10.1007/978-3-030-87234-2_64
BibTeX: Download
, , , , , :
Automatic Path Planning for Safe Guide Pin Insertion in PCL Reconstruction Surgery
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) (Straßburg, September 27, 2021 - October 1, 2021)
In: de Bruijne M, et al. (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, Cham: 2021
DOI: 10.1007/978-3-030-87202-1_54
URL: https://link.springer.com/chapter/10.1007/978-3-030-87202-1_54
BibTeX: Download
, , , , , :
Failure and Risk Analysis based on Maintenance Reports of Machines Components in Manufacturing Industry
XIII. International Conference on the Theory of Machines and Mechanisms - TMM2020 (Liberec, September 7, 2021 - September 9, 2021)
BibTeX: Download
, , , , :
ICDAR 2021 Competition on Historical Document Classification
16th International Conference on Document Analysis and Recognition, ICDAR 2021 (Lausanne, CHE, September 5, 2021 - September 10, 2021)
In: Josep Lladós, Daniel Lopresti, Seiichi Uchida (ed.): Document Analysis and Recognition – ICDAR 2021 2021
DOI: 10.1007/978-3-030-86337-1_41
BibTeX: Download
, , , , , , , :
Robust Quad-Tree based Registration on Whole Slide Images
MICCAI Computational Pathlogy (COMPAY) Workshop
BibTeX: Download
, , , , , , , , , , , :
Module-Power Prediction from PL Measurements using Deep Learning
(2021)
ISSN: 0160-837
DOI: 10.1109/PVSC43889.2021.9519005
URL: https://arxiv.org/pdf/2108.13640.pdf
BibTeX: Download
, , , , , , , :
CraquelureNet: Matching The Crack Structure In Historical Paintings For Multi-Modal Image Registration
2021 IEEE International Conference on Image Processing (ICIP) (Online ( Anchorage, AK, USA ), September 19, 2021 - September 22, 2021)
DOI: 10.1109/ICIP42928.2021.9506071
URL: https://www.researchgate.net/publication/354690882_CraquelureNet_Matching_The_Crack_Structure_In_Historical_Paintings_For_Multi-Modal_Image_Registration
BibTeX: Download
, , :
Skinscan: Low-Cost 3D-Scanning for Dermatologic Diagnosis and Documentation
2021 IEEE International Conference on Image Processing (ICIP) (Anchorage, AK, USA, September 19, 2021 - September 22, 2021)
DOI: 10.1109/ICIP42928.2021.9506335
BibTeX: Download
, , , , , , , , , :
ORCA-SLANG: An Automatic Multi-Stage Semi-Supervised Deep Learning Framework for Large-Scale Killer Whale Call Type Identification
22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021 (Brno, Czechia, August 30, 2021 - September 3, 2021)
In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2021 2021
DOI: 10.21437/Interspeech.2021-616
BibTeX: Download
, , , , , , , :
Data-Driven Speed-of-Sound Reconstruction for Medical Ultrasound: Impacts of Training Data Format and Imperfections on Convergence
Annual Conference on Medical Image Understanding and Analysis (Oxford, United Kingdom, July 12, 2021 - July 14, 2021)
In: Papie{ż} BW, Yaqub M, Jiao J, Namburete AIL, Noble JA (ed.): Medical Image Understanding and Analysis, Cham: 2021
DOI: 10.1007/978-3-030-80432-9_11
URL: https://link.springer.com/chapter/10.1007/978-3-030-80432-9_11#citeas
BibTeX: Download
, , :
Using Associative Classification and Odds Ratios for In-Hospital Mortality Risk Estimation
Workshop on Interpretable ML in Healthcare at International Conference on Machine Learning (ICML). (Online, July 23, 2021 - July 23, 2021)
Open Access: https://www.cse.cuhk.edu.hk/~qdou/public/IMLH2021_files/15_CameraReady_OddsRatios.pdf
URL: https://sites.google.com/view/imlh2021/program
BibTeX: Download
, , :
Applying nnU-Net to the segmentation of microaneurysms in OCTA data in patients with non-proliferative diabetic retinopathy
ARVO Annual Meeting 2021
URL: https://iovs.arvojournals.org/article.aspx?articleid=2773716
BibTeX: Download
, , , , , , , , , :
Deep Learning Glaucoma Classification in enface OCTA scans of the human macular region
ARVO Annual Meeting 2021
Open Access: https://iovs.arvojournals.org/article.aspx?articleid=2773575
URL: https://iovs.arvojournals.org/article.aspx?articleid=2773575
BibTeX: Download
, , , , , , :
Weight-Bearing C-Arm Cone-Beam CT Using a Dynamic Range Reducer (DyRaR): Initial Prototype and Phantom Studies
In: MEDICAL PHYSICS, HOBOKEN: 2021
BibTeX: Download
, , , , , , , :
Improved OCT motion correction in pathology using advanced eye motion modeling
In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, ROCKVILLE: 2021
BibTeX: Download
, , , , , , , :
'APSifyed' Bruch's membrane opening (BMO) based peripapillary OCT-A analysis
In: INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, ROCKVILLE: 2021
BibTeX: Download
, , , , , :
Differential diagnosis of RA and PsA using neural networks on 3D bone shape of finger joints
EULAR 2021 Congress (Paris, June 2, 2021 - June 5, 2021)
In: Annals of the Rheumatic Diseases 2021 2021
DOI: 10.1136/annrheumdis-2021-eular.383
URL: https://ard.bmj.com/content/80/Suppl_1/86
BibTeX: Download
, , , , , , , , :
Implant-based CT estimation towards adaptive breast brachytherapy
In: RADIOTHERAPY AND ONCOLOGY, CLARE: 2021
BibTeX: Download
, , , , , , , , , :
Prospective motion assessment within multi-shot imaging using coil mixing of the data consistency error and deep learning
ISMRM & SMRT Annual Conference & Exhibition (Virtual, May 15, 2021 - September 21, 2022)
BibTeX: Download
, , , , , :
Partial Fourier Reconstruction in Liver DWI using a Recurrent Convolutional Network
ISMRM & SMRT Annual Conference & Exhibition (Virtual, May 15, 2021 - May 20, 2021)
BibTeX: Download
, , , :
JBFnet: Low Dose CT-denoising by Trainable Joint Bilateral Filtering
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_76
URL: https://link.springer.com/chapter/10.1007/978-3-658-33198-6_76
BibTeX: Download
, , , :
Tapping the Potential of Earth Observation - Calving Front Detection in SAR Images using Deep Learning Techniques
EGU General Assembly 2021 (, April 19, 2021 - May 30, 2021)
DOI: 10.5194/egusphere-egu21-11280
BibTeX: Download
, , , , , :
Abstract: VirtualDSA++: Automated Segmentation, Vessel Labeling, Occlusion Detection and Graph Search on CT-Angiography Data
BVM Workshop 2021 (OTH Regensburg, March 8, 2021 - March 9, 2021)
In: BVM Workshop 2021
BibTeX: Download
, , , :
Acquisition Parameter Conditioned Magnetic Resonance Image-to-Image Translation
BVM Workshop 2021 (Virtual, March 7, 2021 - March 9, 2021)
In: Bildverarbeitung für die Medizin 2021 2021
BibTeX: Download
, , , :
Latent Shape Constraint for Anatomical Landmark Detection on Spine Radiographs
Bildverarbeitung für die Medizin 2021 (Virtual Conference, March 7, 2021 - March 9, 2021)
In: Palm C, Deserno TM, Handels H, Maier A, Maier-Hein K, Tolxdorff T (ed.): Bildverarbeitung für die Medizin 2021, Wiesbaden: 2021
DOI: 10.1007/978-3-658-33198-6_85
BibTeX: Download
, , :
Ultrasound Breast Lesion Detection using Extracted Attention Maps from a Weakly Supervised Convolutional Neural Network
Bildverarbeitung für die Medizin 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Palm, Christoph; Deserno, Thomas M.; Handels, Heinz;Maier, Andreas; Maier-Hein, Klaus;Tolxdorff, Thomas. (ed.): Bildverarbeitung für die Medizin 2021, Wiesbaden: 2021
DOI: 10.1007/978-3-658-33198-6
BibTeX: Download
, , , :
Learning-based Patch-wise Metal Segmentation with Consistency Check
Bildverarbeitung für die Medizin 2021 (Virtual Conference, March 7, 2021 - March 9, 2021)
In: Palm C, Deserno TM, Handels H, Maier A, Maier-Hein K, Tolxdorff T (ed.): Bildverarbeitung für die Medizin 2021, Wiesbaden: 2021
DOI: 10.1007/978-3-658-33198-6_4
BibTeX: Download
, , , :
Semi-Permeable Filters for Interior Region of Interest Dose Reduction in X-Ray Microscopy
BVM 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Bildverarbeitung für die Medizin 2021
DOI: 10.1007/978-3-658-33198-6_16
URL: https://link.springer.com/chapter/10.1007/978-3-658-33198-6_16
BibTeX: Download
, , , , , , , , , :
Analysis of Interventional Workflow Phases based on Image Classification
65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS) (Berlin (online conference), September 6, 2020 - September 9, 2020)
In: 65th Annual Meeting of the German Association for Medical Informatics, Biometry and Epidemiology (GMDS) 2021
DOI: 10.3205/20gmds187
URL: https://www.egms.de/static/en/meetings/gmds2020/20gmds187.shtml
BibTeX: Download
, , , , :
Abstract: Automatic CAD-RADS Scoring using Deep Learning
German Workshop on Medical Image Computing, 2021 (Regensburg, DEU, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_24
BibTeX: Download
, , , , , , , , , :
Abstract: Are Fast Labeling Methods Reliable?: A Case Study of Computer-aided Expert Annotations on Microscopy Slides
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_71
BibTeX: Download
, , , , , , , , , , , , , , :
Deep Learning-based Adaptive Image Combination for Signal-Dropout Suppression in Liver DWI
ISMRM & SMRT Annual Conference & Exhibition (Virtual, May 15, 2021 - May 20, 2021)
BibTeX: Download
, , , :
Abstract: Deep Learning Algorithms Out-perform Veterinary Pathologists in Detecting the Mitotically Most Active Tumor Region
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_60
BibTeX: Download
, , , , , , , , , , , :
Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_33
BibTeX: Download
, , , , , , , , , , :
Deep Learning based Model Observers for Multi - Modal Imaging
16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Leuven, Belgium, July 19, 2021 - July 23, 2021)
BibTeX: Download
, , , , , :
Abstract: Automatic Dementia Screening and Scoring by Applying Deep Learning on Clock-drawing Tests
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_69
BibTeX: Download
, , , , , :
Abstract: Maximum A-posteriori Signal Recovery for OCT Angiography Image Generation
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_61
BibTeX: Download
, , , , , , , , , :
Towards Mouse Bone X-ray Microscopy Scan Simulation
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_32
BibTeX: Download
, , , , , , , :
Validation of a Deep Learning based Automated Myocardial Inversion Time Selection for Late Gadolinium Enhancement Imaging in a Prospective Study
International Society for Magnetic Resonance in Medicine (ISMRM) 29th Annual Meeting & Exhibition (Virtual, May 15, 2021 - May 20, 2021)
URL: https://index.mirasmart.com/ISMRM2021/PDFfiles/0452.html
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)
BibTeX: Download
, , , , , , :
Table Motion Detection in Interventional Coronary Angiography
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_15
BibTeX: Download
, , , :
Neural Networks with Fixed Binary Random Projections Improve Accuracy in Classifying Noisy Data
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_51
BibTeX: Download
, , , :
Move Over There One-click Deformation Correction for Image Fusion during Endovascular Aortic Repair
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_10
BibTeX: Download
, , , :
Estimation of statistical weights for model-based iterative ct reconstruction
Medical Imaging 2021: Physics of Medical Imaging (, February 15, 2021 - February 19, 2021)
In: Hilde Bosmans, Wei Zhao, Lifeng Yu (ed.): Progress in Biomedical Optics and Imaging - Proceedings of SPIE 2021
DOI: 10.1117/12.2581566
BibTeX: Download
, , , , , :
Fat-Saturated MR Image Synthesis with Acquisition Parameter-Conditioned Image-to-Image Generative Adversarial Network
International Society for Magnetic Resonance in Medicine (ISMRM) 29th Annual Meeting & Exhibition (Virtual, May 15, 2021 - May 20, 2021)
BibTeX: Download
, , , :
Towards End-to-End Deep Learning-based Writer Identification
In: Reussner RH, Koziolek A, Heinrich R (ed.): INFORMATIK 2020 2021
DOI: 10.18420/inf2020_126
URL: https://dl.gi.de/handle/20.500.12116/34716
BibTeX: Download
, , :
Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning
International Society for Magnetic Resonance in Medicine (ISMRM) 29th Annual Meeting & Exhibition (Virtual, May 15, 2021 - May 20, 2021)
URL: https://index.mirasmart.com/ISMRM2021/PDFfiles/2664.html
BibTeX: Download
, , , , , :
Image Reconstruction from Real Dual Energy CT Data Using an Analytical Energy Response Model
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2021 (Virtual, Yokohama, JPN, October 16, 2021 - October 23, 2021)
In: Hideki Tomita, Tatsuya Nakamura (ed.): 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022 2021
DOI: 10.1109/NSS/MIC44867.2021.9875701
BibTeX: Download
, , , , , :
Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_56
BibTeX: Download
, , , , , , , , , , , , , , , , , , , , , , , , , , , :
Iterative Cross-Scanner Registration for Whole Slide Images
IEEE/CVF International Conference on Computer Vision (ICCVW)
In: 2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION WORKSHOPS (ICCVW 2021), LOS ALAMITOS: 2021
DOI: 10.1109/ICCVW54120.2021.00071
BibTeX: Download
, , , , , , , :
LACOPE: Latency-Constrained Pitch Estimation for Speech Enhancement
Interspeech 2021 (Brno, August 31, 2021 - September 3, 2021)
In: Proc. Interspeech 2021 2021
BibTeX: Download
, , , :
Learning the Inverse Weighted Radon Transform
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_14
BibTeX: Download
, , , :
Learning the Update Operator for 2D/3D Image Registration
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_27
BibTeX: Download
, , , :
Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_81
BibTeX: Download
, , , , , , :
Helical Dark-field Fiber Reconstruction
International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D)
BibTeX: Download
, , , :
Abstract: Deep Learning-based Quantification of Pulmonary Hemosiderophages in Cytology Slides
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_13
BibTeX: Download
, , , , , , , , , , , , , , , :
The Hippocampus learns a language model with the help of the Successor Representation
Montreal AI & Neuroscience 2021 (Montreal, November 29, 2021 - November 30, 2021)
BibTeX: Download
, , :
Non-Contrast Head CT Imaging Using Dual Energy: A Study on Bias Induced by Imperfections in Energy Response and Material Knowledge
16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Leuven, Belgium, July 19, 2021 - July 23, 2021)
In: Proceedings of the 16th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D) 2021
BibTeX: Download
, , , , , :
Abstract: Simultaneous Estimation of X-ray Back-scatter and Forward-scatter using Multi-task Learning
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_62
BibTeX: Download
, , , , , , , , , :
Coronary Plaque Analysis for CT Angiography Clinical Research
German Workshop on Medical Image Computing, 2021 (Regensburg, DEU, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_53
BibTeX: Download
, , , , , , :
A Completely Annotated Whole Slide Image Dataset of Canine Breast Cancer to Aid Human Breast Cancer Research
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_48
BibTeX: Download
, , , , , :
Cell Detection for Asthma on Partially Annotated Whole Slide Images: Learning to be EXACT
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_36
BibTeX: Download
, , , , , , , , :
Automatic Plane Adjustment in Surgical Cone Beam CT-volumes
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_40
BibTeX: Download
, , , , , , , , , :
A Deep-Learning-based Automated Myocardial Inversion Time Selection for Late Gadolinium Enhancement Imaging
Society for Cardiovascular Magnetic Resonance (Virtual, February 17, 2021 - February 20, 2021)
BibTeX: Download
, , , , , , , , :
Age Estimation on Panoramic Dental X-ray Images using Deep Learning
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_46
BibTeX: Download
, , , , :
SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators
16th International Conference on Document Analysis and Recognition, ICDAR 2021 (Lausanne, CHE, September 5, 2021 - September 10, 2021)
In: Josep Lladós, Daniel Lopresti, Seiichi Uchida (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2021
DOI: 10.1007/978-3-030-86549-8_18
URL: https://arxiv.org/abs/2105.10528
BibTeX: Download
, , , , :
Automatic Chain Line Segmentation in Historical Prints
International Workshop on Fine Art Pattern Extraction and Recognition (FAPER) at International Conference on Pattern Recognition (ICPR) (Online (Milan, Italy), January 11, 2021 - January 11, 2021)
In: Pattern Recognition. ICPR International Workshops and Challenges 2021
DOI: 10.1007/978-3-030-68796-0_47
BibTeX: Download
, , , , :
Abstract: Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_68
BibTeX: Download
, , , , :
Deep Learning Compatible Differentiable X-ray Projections for Inverse Rendering
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_70
BibTeX: Download
, , , , , , :
Novel Evaluation Metrics for Vascular Structure Segmentation
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_20
BibTeX: Download
, , :
Pseudo-Square Tomosynthesis Trajectory for Interventional Lung Procedures
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2021 (Virtual, Yokohama, October 16, 2021 - October 23, 2021)
In: Hideki Tomita, Tatsuya Nakamura (ed.): 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2021 and 28th International Symposium on Room-Temperature Semiconductor Detectors, RTSD 2022 2021
DOI: 10.1109/NSS/MIC44867.2021.9875725
BibTeX: Download
, , , :
Recurrence Plot Spacial Pyramid Pooling Network for Appliance Identification in Non-Intrusive Load Monitoring
20th IEEE International Conference on Machine Learning and Applications (ICMLA)
In: 20TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2021), NEW YORK: 2021
DOI: 10.1109/ICMLA52953.2021.00025
BibTeX: Download
, , , :
RGB-D-based Human Detection and Segmentation for Mobile Robot Navigation in Industrial Environments
16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) (, February 8, 2021 - February 10, 2021)
DOI: 10.5220/0010187702190226
BibTeX: Download
, , , , , , :
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
, , , , , , :
A Novel Trilateral Filter for Digital Subtraction Angiography
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_75
BibTeX: Download
, , , :
2D Respiration Navigation Framework for 3D Continuous Cardiac Magnetic Resonance Imaging
German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
DOI: 10.1007/978-3-658-33198-6_38
BibTeX: Download
, , , , , :
Miscellaneous
Segmentation of the Carotid Lumen and Vessel Wall using Deep Learning and Location Priors
(2021)
BibTeX: Download
(Conference report)
, , , , , :
2020
Journal Articles
Will We Ever Have Conscious Machines?
In: Frontiers in Computational Neuroscience 14 (2020)
ISSN: 1662-5188
DOI: 10.3389/fncom.2020.556544
BibTeX: Download
, :
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
, , , , , , , , , , , , , , , :
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
BibTeX: Download
, , , , , , , , , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , :
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
BibTeX: Download
, , , , , , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , , , , , , :
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
BibTeX: Download
, , , , , , , , , , , :
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
BibTeX: Download
, , , , , , , , , , , , , , , :
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
BibTeX: Download
, , , , , , , , , , , :
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
BibTeX: Download
, , , , , , , , , :
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
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , , , , , , , , , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , , :
With Semantics and Hidden Markov Models to an Adaptive Log File Parser
In: International Journal on Natural Language Computing (2020)
ISSN: 2319-4111
BibTeX: Download
, :
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
BibTeX: Download
, , , , , , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , , , , , :
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
BibTeX: Download
, , , , , , , , , :
A phantom study on dose efficiency for orthopedic applications: Comparing slot-scanning radiography using ultra-small-angle tomosynthesis to conventional radiography
In: Medical Physics (2020)
ISSN: 0094-2405
DOI: 10.1002/mp.14680
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , , , , , , , :
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
BibTeX: Download
, , , , , , , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , , , , , , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , , , , , :
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
BibTeX: Download
, , , , , , , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , :
DNN-based Speed-of-Sound Reconstruction for Automated Breast Ultrasound
2020 IEEE International Ultrasonics Symposium (IUS) (Las Vegas, NV, 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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , , , , :
U-Net for Multi-Organ Segmentation of SPECT Projection Data
IEEE (Boston, Massachuchets, October 31, 2020 - November 7, 2020)
In: IEEE (ed.): U-Net for Multi-Organ Segmentation of SPECT Projection Data 2020
BibTeX: Download
, , , , , :
Feature Loss After Denoising of SPECT Projection Data using a U-Net
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (Boston, Massachusetts, October 31, 2020 - November 7, 2020)
In: IEEE (ed.): Feature Loss After Denoising of SPECT Projection Data using a U-Net 2020
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , , , , , , , :
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
URL: https://link.springer.com/chapter/10.1007/978-3-030-59713-9_49
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , :
Contour-Based Bone Axis Detection for X-Ray Guided Surgery on the Knee
International Conference on Medical Image Computing and Computer-Assisted Intervention (Lima, October 4, 2020 - October 8, 2020)
In: Martel AL, et al. (ed.): Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, Cham: 2020
DOI: 10.1007/978-3-030-59725-2_65
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , , , , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , , :
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)
BibTeX: Download
, , , , , , :
MoPED: Motion Parameter Estimation DenseNet for accelerating retrospective motion correction
ISMRM & SMRT Virtual Conference & Exhibition (, August 8, 2020 - September 14, 2022)
BibTeX: Download
, , , :
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
BibTeX: Download
, , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , , , , :
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/
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , , :
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
Open Access: https://iovs.arvojournals.org/article.aspx?articleid=2769686
URL: https://iovs.arvojournals.org/article.aspx?articleid=2769686
BibTeX: Download
, , , , , , , :
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
, , , , , , :
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
, , , , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , :
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
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)
BibTeX: Download
, , , , , , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , , , , , :
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
BibTeX: Download
, , , , , :
Understanding Compositional Structures in Art Historical Images Using Pose and Gaze Priors
ECCV 2020 (Glasgow, August 23, 2020 - August 28, 2020)
In: Andrea Vedaldi, Horst Bischof, Thomas Brox, Jan-Michael Frahm (ed.): Computer Vision – ECCV 2020 Workshops. ECCV 2020, Switzerland: 2020
DOI: 10.1007/978-3-030-66096-3_9
URL: https://link.springer.com/chapter/10.1007/978-3-030-66096-3_9
BibTeX: Download
, , , , , :
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
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
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
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , , , , :
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
BibTeX: Download
, , , :
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
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, :
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
BibTeX: Download
, , , , , , , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , , , , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , :
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
, , , , , , :
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
BibTeX: Download
, , , , :
Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics
BVM Workshop 2020 (Berlin, March 15, 2020 - March 17, 2020)
BibTeX: Download
, , , , , , , :
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)
BibTeX: Download
, , , , , , , :
Spatio-Temporal Handwriting Imitation
European Conference on Computer Vision (Online, August 23, 2020 - August 28, 2020)
DOI: 10.1007/978-3-030-68238-5_38
URL: https://link.springer.com/chapter/10.1007/978-3-030-68238-5_38
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , :
Analyzing an Imitation Learning Network for Fundus Image Registration Using a Divide-and-Conquer Approach
Bildgebung für die Medizin 2020 (Berlin, March 15, 2020 - March 17, 2020)
In: Springer (ed.): Algorithmen – Systeme – Anwendungen. Proceedings des Workshops 2020
BibTeX: Download
, , , , :
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
, , , , , :
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
BibTeX: Download
, , , , , , , , , , :
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
BibTeX: Download
, , , , , , , , , , , , , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , , , :
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
, , , , , , , , :
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://archiv.chnt.at/wp-content/uploads/A-Visualization-Tool-for-Image-Fusion-of-Artworks.pdf
BibTeX: Download
, , :
Towards Image Caption Generation for Art Historical Data
URL: https://aidh.kinf.wiai.uni-bamberg.de/02_Gupta_et_al_Towards_Image_Caption_Generation_etc.pdf
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , :
Single Material Beam Hardening Correction in CT Using an Analytical Energy Response Model
2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (Boston, MA, USA, October 31, 2020 - November 7, 2020)
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , :
Odin’s Eye – A Close Look at Gamification of Labelling of Ophthalmic Diseases
Joint Conference of the GMDS & CEN-IBS 2020 (Online Streaming, September 6, 2020 - September 9, 2020)
BibTeX: Download
, , , , , , , :
3-D tracing of capillaries through three retinal vascular plexuses toward their closest superficial artery and vein in OCT angiography volumes
ARVO annual meeting 2020
In: Investigative Ophthalmology & Visual Science 2020
Open Access: https://iovs.arvojournals.org/article.aspx?articleid=2770859
URL: https://iovs.arvojournals.org/article.aspx?articleid=2770859
BibTeX: Download
, , , , , , :
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), p. 1-17
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
BibTeX: Download
, , :
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
, , , , :
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
, , , , , , , , , , :
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
, , , , , :
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
, , , , , , :
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
, , , , , , :
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
, , , :
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
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , , , , , , , :
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
BibTeX: Download
, , , , , , , , , , , , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , , , , , , , :
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)
, , , , , , :
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
BibTeX: Download
, , , , , , :
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
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
BibTeX: Download
, , , :
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
, , , , :
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
BibTeX: Download
, , , , , , , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , , , , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , , , , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , , , , , :
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
BibTeX: Download
, , , , , , , :
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
BibTeX: Download
, , , , , :
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
, , , , , , , , :
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
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , , , :
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
, , , :
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
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
BibTeX: Download
, , , , , , , , , , , :
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
BibTeX: Download
, , , , , , , :
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
, , , :
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
, , , , , , , , :
Combining Ultrasound and X-Ray Imaging for Mammography
In: Bildverarbeitung für die Medizin 2019, Springer, 2019, p. 245--250
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
, , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , , , , , :
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
, , , , , , , , , , , :
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
, , , , , :
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
, , , , , :
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
, , , :
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
BibTeX: Download
, , , , , , , , :
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
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
BibTeX: Download
, , , , , , , :
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
BibTeX: Download
, , , , , , , , :
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
BibTeX: Download
, , , , , , , :
Motion Gradients for Epipolar Consistency
15th International Meeting on Fully Three-Dimensional Image Reconstruction (Philadelphia, PA, June 2, 2019 - June 6, 2019)
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , , , :
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
BibTeX: Download
, , , , , , , :
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
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , , , , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , , :
A Mixed Reality Simulation for Robotic Systems
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 - March 19, 2019)
In: Thomas Tolxdorff, Klaus H. Maier-Hein, Andreas Maier, Heinz Handels, Christoph Palm, Thomas M. Deserno (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_49
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , , , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , , , :
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
BibTeX: Download
, , , , :
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
BibTeX: Download
, , , :
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
BibTeX: Download
, , , , , , , , :
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.) , , , , , , :