Prof. Dr.-Ing. Katharina Breininger

Department of Artificial Intelligence in Biomedical Engineering

Research associates

Contact

Email: katharina.breininger@fau.de

Since 11/2020:
W1-Professor for Artificial Intelligence in Medical Imaging, Department Artificial Intelligence in Biomedical Engineering (AIBE), Friedrich-Alexander-Universität Erlangen-Nürnberg
11/2015 – 10/2020:
Ph.D Student at Pattern Recognition Lab, Friedrich-Alexander-Universität Erlangen-Nürnberg
10/2012 – 09/2015:
M.Sc. in Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg
10/2009 – 09/2012:
B.Sc. in Computer Science, Philipps University Marburg
07/2009:
Abitur, Goetheschule Wetzlar

2024

IZKF-S2 Tame the Flame (M3): Interplay of cell trafficking and mechanics as a pathomechanism in immune-mediated inflammation TAME THE FLAME

(FAU Funds)

Project leader: Caroline Bosch-Voskens, Sebastian Zundler, Katharina Breininger, Stefan Uderhardt
Term: May 1, 2024 – April 30, 2026

Abstract

Cell trafficking is crucially involved in the pathogenesis of immune-mediated inflammatory diseases such as rheumatoid arthritis or inflammatory bowel disease. While the contribution of cell surface receptors to such trafficking has been explored in detail and has already lead to therapeutic applications, cell-intrinsic properties affecting the cellular migratory behavior have largely been overlooked. Here, we hypothesize that cell mechanical properties and cell trafficking are inextricably linked. Thus, in an interdisciplinary and synergistic effort, this project addresses the role of cellular mechanobiology for homing to the inflamed gut and synovia as well as the mechanical features of therapeutic regulatory T cells and pharmacological opportunities to manipulate cell mechanics. In the long-term perspective, we hope that our insights might provide novel and specific targets for mitigating chronic inflammation.

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Untersuchung von In-situ-Gewebeschemata mittels volumetrischer Bildgebung und maschinellem Lernen für die Bildanalyse

(Third Party Funds Group – Sub project)

Overall project: Immun-Checkpoints der Kommunikation zwischen Darm und Gehirn bei entzündlichen und neurodegenerativen Erkrankungen (GB.com)
Project leader: Katharina Breininger, Stefan Uderhardt
Term: January 1, 2024 – December 31, 2027
Acronym: KFO 5024 TP Z02
Funding source: DFG / Klinische Forschungsgruppe (KFO)

Abstract

Entzündung beginnt vor allem in Geweben, und ihre Ausprägung und ihr Ausmaß werden weitgehend von diesen kontrolliert. Infiltrierende Immunzellen sind hochgradig plastisch und integrieren sowohl molekulare als auch biophysikalische Informationen aus ihrer Umgebung, die allesamt ihre Effektor-Funktionen sowie ihr weiteres Schicksal bestimmen. Mit dem Fortschritt hochdimensionaler OMICs-Ansätze haben wir begonnen, die zelluläre Heterogenität komplexer entzündlicher Infiltrate besser zu verstehen. Während jüngste analytische Ansätze zelluläre Interaktionen auf der Grundlage von Transkriptionsprofilen vorhersagen können, bleiben ihre tatsächlichen funktionellen Interaktionen und die Einwirkung ihrer mikroanatomischen Umgebung jedoch weiterhin spekulativ. Um die Beziehung zwischen Gewebestruktur, Architektur der Mikroumgebung und Zellfunktionen verstehen zu können, müssen multidimensionale Ex vivo-Zellanalysen durch quantitative In-situ-Bildgebung ergänzt werden. Neueste 2D-Hyperplex-Mikroskopieverfahren erlauben mittlerweile mehrere Parameter mit räumlichem Kontext zu erfassen. Mit diesen Techniken lässt sich jedoch die komplexe 3D-Architektur von strukturell vielschichtigen und kompartimentierten Geweben wie dem Darm oder dem Gehirn nicht adäquat abbilden. Gleichzeitig erfordert die Fülle von Daten, die durch Bildgebungs- und OMICs-Techniken erzeugt werden, nachfolgende integrative Analyseschritte, die bei einer manuellen Auswertung in der Regel nicht zu bewältigen sind. Um diese Lücken zu schließen, werden wir neue Mikroskopieanwendungen und quantitative, durch maschinelles Lernen unterstützte Analysemethoden für Gewebe entlang der Darm-Hirn-Achse mit hoher Granularität sowohl in 2D als auch in 3D entwickeln. Dieses explorative Vorhaben dient der Etablierung innovativer Methoden und wird dazu beitragen, räumliche Daten mit zellulären Profilen zu integrieren, um Organisationsschemata zu entschlüsseln, die Gesundheit und Krankheit zugrunde liegen.

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2023

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)

Project leader: Paul Steinmann
Term: January 1, 2023 – December 31, 2026
Acronym: SFB 1540 – EBM
Funding source: DFG / Sonderforschungsbereich / Transregio (SFB / TRR)
URL: https://www.crc1540-ebm.research.fau.eu/

Abstract

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.

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Maschinelles Lernen und Datenanalyse für heterogene, artübergreifende Daten (X02)

(Third Party Funds Group – Sub project)

Overall project: SFB 1540: Erforschung der Mechanik des Gehirns (EBM): Verständnis, Engineering und Nutzung mechanischer Eigenschaften und Signale in der Entwicklung, Physiologie und Pathologie des zentralen Nervensystems
Project leader: Katharina Breininger, Andreas Maier
Term: January 1, 2023 – December 31, 2026
Acronym: SFB 1540 X02
Funding source: DFG / Sonderforschungsbereich (SFB)

Abstract

X02 nutzt die in EBM erzeugten Bilddaten und mechanischen Messungen, um Deep Learning-Methoden zu entwickeln, die Wissen über Spezies hinweg transferieren. In silico und in vitro Analysen werden deutlich spezifischere Daten liefern als in vivo Experimente, insbesondere für menschliches Gewebe. Um hier Erkenntnisse aus datenreichen Experimenten zu nutzen, werden wir Transfer Learning-Algorithmen für heterogene Daten entwickeln. So kann maschinelles Lernen auch unter stark datenlimitierten Bedingungen nutzbar gemacht werden. Ziel ist es, ein holistisches Verständnis von Bilddaten und mechanischen Messungen über Artgrenzen hinweg zu ermöglichen.

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2026

Journal Articles

Öttl M., Mei S., Wilm F., Qiu J., Steenpaß J., Rübner M., Hartmann A., Hübner H., Fasching P., Maier A., Erber R., Breininger K.:
Analyzing and adapting diffusion segmentation behavior for medical images
In: Biomedical Signal Processing and Control 112 (2026), Article No.: 108619
ISSN: 1746-8094
DOI: 10.1016/j.bspc.2025.108619
BibTeX: Download

Conference Contributions

Schlereth M., Schillinger M., Breininger K.:
Faster, Self-supervised Super-Resolution for Anisotropic Multi-view MRI Using a Sparse Coordinate Loss
28th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 (Daejeon, KOR, September 23, 2025 – September 27, 2025)
In: James C. Gee, Jaesung Hong, Carole H. Sudre, Polina Golland, Daniel C. Alexander, Juan Eugenio Iglesias, Archana Venkataraman, Jong Hyo Kim (ed.): Lecture Notes in Computer Science 2026
DOI: 10.1007/978-3-032-04947-6_17
BibTeX: Download

Unpublished Publications

Jingna Qiu, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Moritz Schillinger, Marc Aubreville, Katharina Breininger:
Decomposition Sampling for Efficient Region Annotations in Active Learning
(2026)
DOI: 10.48550/arXiv.2512.07606
BibTeX: Download

2025

Journal Articles

Possart D., Mill L., Vollnhals F., Hildebrand T., Suter P., Hoffmann M., Utz J., Augsburger D., Thies M., Gu M., Wagner F., Sarau G., Christiansen S., Breininger K.:
Addressing data scarcity in nanomaterial segmentation networks with differentiable rendering and generative modeling
In: npj Computational Materials 11 (2025), Article No.: 197
ISSN: 2057-3960
DOI: 10.1038/s41524-025-01702-6
BibTeX: Download
Li Z., Cechnicka S., Ouyang C., Breininger K., Schüffler P., Kainz B.:
Stochastic latent feature distillation: Enhancing dataset distillation via structured uncertainty modeling
In: Journal of Visual Communication and Image Representation 113 (2025), Article No.: 104623
ISSN: 1047-3203
DOI: 10.1016/j.jvcir.2025.104623
BibTeX: Download
Gomez C., Wang R., Breininger K., Casey C., Bradley C., Pavlak M., Pham A., Yohannan J., Unberath M.:
The explainable AI dilemma under knowledge imbalance in specialist AI for glaucoma referrals in primary care
In: npj Digital Medicine 8 (2025), Article No.: 706
ISSN: 2398-6352
DOI: 10.1038/s41746-025-02069-0
BibTeX: Download
Karstensen L., Robertshaw H., Hatzl J., Jackson B., Langejürgen J., Breininger K., Uhl C., Sadati SM., Booth T., Bergeles C., Mathis-Ullrich F.:
Learning-based autonomous navigation, benchmark environments and simulation framework for endovascular interventions
In: Computers in Biology and Medicine 196 (2025), Article No.: 110844
ISSN: 0010-4825
DOI: 10.1016/j.compbiomed.2025.110844
BibTeX: Download
Öttl M., Steenpaß J., Wilm F., Qiu J., Rübner M., Lang-Schwarz C., Taverna C., Tava F., Hartmann A., Hübner H., Beckmann M., Fasching P., Maier A., Erber R., Breininger K.:
Fully automatic HER2 tissue segmentation for interpretable HER2 scoring
In: Journal of Pathology Informatics 17 (2025), Article No.: 100435
ISSN: 2229-5089
DOI: 10.1016/j.jpi.2025.100435
BibTeX: Download
Puget C., Ganz J., Ostermaier J., Conrad T., Parlak E., Bertram CA., Kiupel M., Breininger K., Aubreville M., Klopfleisch R.:
Artificial intelligence can be trained to predict c-KIT-11 mutational status of canine mast cell tumors from hematoxylin and eosin-stained histological slides
In: Veterinary Pathology 62 (2025), p. 152-160
ISSN: 0300-9858
DOI: 10.1177/03009858241286806
BibTeX: Download
Ammeling J., Ganz J., Wilm F., Breininger K., Aubreville M.:
Investigation of Class Separability within Object Detection Models in Histopathology
In: IEEE Transactions on Medical Imaging (2025)
ISSN: 0278-0062
DOI: 10.1109/TMI.2025.3560134
BibTeX: Download
Ganz J., Ammeling J., Jabari S., Breininger K., Aubreville M.:
Re-identification from histopathology images
In: Medical Image Analysis 99 (2025), Article No.: 103335
ISSN: 1361-8415
DOI: 10.1016/j.media.2024.103335
BibTeX: Download

Conference Contributions

Qiu J., Aubreville M., Wilm F., Öttl M., Utz J., Schlereth M., Breininger K.:
Abstract: Leveraging Image Captions for Selective Whole Slide Image Annotation
German Conference on Medical Image Computing (Regensburg, March 9, 2025 – March 11, 2025)
In: Bildverarbeitung für die Medizin 2025, Wiesbaden: 2025
DOI: 10.1007/978-3-658-47422-5_59
BibTeX: Download
Schillinger M., Schlereth M., Boraud G., Zahnd G., Dehner C., Li Y., Kempf J., Caranovic M., Haney B., Rother U., Breininger K.:
Automatic Muscle Segmentation for the Diagnosis of Peripheral Artery Disease Using Multispectral Optoacoustic Tomography
Photons Plus Ultrasound: Imaging and Sensing 2025 (San Francisco, CA, USA, January 26, 2025 – January 29, 2025)
In: Alexander A. Oraevsky, Lihong V. Wang (ed.): Progress in Biomedical Optics and Imaging – Proceedings of SPIE 2025
DOI: 10.1117/12.3049067
BibTeX: Download
Öttl M., Wilm F., Steenpaß J., Qiu J., Rübner M., Hartmann A., Beckmann M., Fasching P., Maier A., Erber R., Kainz B., Breininger K.:
Style-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation
18th European Conference on Computer Vision, ECCV 2024 (Milan, September 29, 2024 – October 4, 2024)
In: Aleš Leonardis, Elisa Ricci, Stefan Roth, Olga Russakovsky, Torsten Sattler, Gül Varol (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2025
DOI: 10.1007/978-3-031-73226-3_14
BibTeX: Download

2024

Journal Articles

Aubreville M., Wilm F., Stathonikos N., Breininger K., Donovan TA., Jabari S., Veta M., Ganz J., Ammeling J., van Diest PJ., Klopfleisch R., Bertram CA.:
Author Correction: A comprehensive multi-domain dataset for mitotic figure detection (Scientific Data, (2023), 10, 1, (484), 10.1038/s41597-023-02327-4)
In: Scientific Data 11 (2024), Article No.: 717
ISSN: 2052-4463
DOI: 10.1038/s41597-024-03548-x
BibTeX: Download
Wang R., Bradley C., Herbert P., Hou K., Ramulu P., Breininger K., Unberath M., Yohannan J.:
Deep learning-based identification of eyes at risk for glaucoma surgery
In: Scientific Reports 14 (2024), Article No.: 599
ISSN: 2045-2322
DOI: 10.1038/s41598-023-50597-0
BibTeX: Download
Ganz J., Marzahl C., Ammeling J., Rosbach E., Richter B., Puget C., Denk D., Demeter EA., Tăbăran FA., Wasinger G., Lipnik K., Tecilla M., Valentine MJ., Dark MJ., Abele N., Bolfa P., Erber R., Klopfleisch R., Merz S., Donovan TA., Jabari S., Bertram CA., Breininger K., Aubreville M.:
Information mismatch in PHH3-assisted mitosis annotation leads to interpretation shifts in H&E slide analysis
In: Scientific Reports 14 (2024), Article No.: 26273
ISSN: 2045-2322
DOI: 10.1038/s41598-024-77244-6
BibTeX: Download
Rivera Monroy LC., Rist L., Ostalecki C., Bauer A., Vera J., Breininger K., Maier A.:
Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features
In: International Journal of Computer Assisted Radiology and Surgery (2024)
ISSN: 1861-6410
DOI: 10.1007/s11548-024-03277-x
BibTeX: Download
Gomaa A., Huang Y., Hagag A., Schmitter C., Höfler D., Weissmann T., Breininger K., Schmidt M., Stritzelberger J., Delev D., Coras R., Dörfler A., Schnell O., Frey B., Gaipl U., Semrau S., Bert C., Hau P., Fietkau R., Putz F.:
Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma
In: Neuro-Oncology Advances (2024)
ISSN: 2632-2498
DOI: 10.1093/noajnl/vdae122
BibTeX: Download
Schlereth M., Yalcin-Mutlu M., Utz J., Bayat S., Heimann T., Qiu J., Ehring C., Liu C., Uder M., Kleyer A., Simon D., Roemer F., Schett G., Breininger K., Fagni F.:
Deep learning-based classification of erosion, synovitis and osteitis in hand MRI of patients with inflammatory arthritis
In: RMD Open 10 (2024)
ISSN: 2056-5933
DOI: 10.1136/rmdopen-2024-004273
BibTeX: Download
Aubreville M., Stathonikos N., Donovan TA., Klopfleisch R., Ammeling J., Ganz J., Wilm F., Veta M., Jabari S., Eckstein M., Annuscheit J., Krumnow C., Bozaba E., Çayır S., Gu H., Chen X‘., Jahanifar M., Shephard A., Kondo S., Kasai S., Kotte S., Saipradeep VG., Lafarge MW., Koelzer VH., Wang Z., Zhang Y., Yang S., Wang X., Breininger K., Bertram CA.:
Domain generalization across tumor types, laboratories, and species — Insights from the 2022 edition of the Mitosis Domain Generalization Challenge
In: Medical Image Analysis 94 (2024), Article No.: 103155
ISSN: 1361-8415
DOI: 10.1016/j.media.2024.103155
BibTeX: Download
Oetter N., Pröll J., Sievert M., Goncalves M., Rohde M., Nobis CP., Knipfer C., Aubreville M., Pan Z., Breininger K., Maier A., Kesting MR., Stelzle F.:
Oral mucosa – an examination map for confocal laser endomicroscopy within the oral cavity: an experimental clinical study
In: Clinical Oral Investigations 28 (2024), Article No.: 266
ISSN: 1432-6981
DOI: 10.1007/s00784-024-05664-9
BibTeX: Download
Rivera Monroy LC., Rist L., Wilm F., Ostalecki C., Baur A., Vera González J., Breininger K., Maier A.:
Multi-level cancer profiling through joint cell-graph representations
In: Smart Health 32 (2024), p. 100470
ISSN: 2352-6483
DOI: 10.1016/j.smhl.2024.100470
BibTeX: Download
Sievert M., Aubreville M., Müller SK., Eckstein M., Breininger K., Iro H., Goncalves M.:
Diagnosis of malignancy in oropharyngeal confocal laser endomicroscopy using GPT 4.0 with vision
In: European Archives of Oto-Rhino-Laryngology (2024)
ISSN: 0937-4477
DOI: 10.1007/s00405-024-08476-5
BibTeX: Download
Wang R., Bradley C., Herbert P., Hou K., Hager GD., Breininger K., Unberath M., Ramulu P., Yohannan J.:
Opportunities for Improving Glaucoma Clinical Trials via Deep Learning-Based Identification of Patients with Low Visual Field Variability
In: Ophthalmology Glaucoma (2024)
ISSN: 2589-4234
DOI: 10.1016/j.ogla.2024.01.005
BibTeX: Download

Conference Contributions

Wilm F., Reimann MK., Taubmann O., Mühlberg A., Breininger K.:
Appearance-based Debiasing of Deep Learning Models in Medical Imaging
German Conference on Medical Image Computing, BVM 2024 (Erlangen, March 10, 2024 – March 12, 2024)
In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2024. BVM 2024, Wiesbaden: 2024
DOI: 10.1007/978-3-658-44037-4_9
BibTeX: Download
Ganz J., Puget C., Ammeling J., Parlak E., Kiupel M., Bertram CA., Breininger K., Klopfleisch R., Aubreville M.:
Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning
German Conference on Medical Image Computing, BVM 2024 (Erlangen, March 10, 2024 – March 12, 2024)
In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2024. BVM 2024, Wiesbaden: 2024
DOI: 10.1007/978-3-658-44037-4_41
BibTeX: Download
Aubreville M., Pan Z., Sievert M., Ammeling J., Ganz J., Oetter N., Stelzle F., Frenken AK., Breininger K., Goncalves M.:
Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors
German Conference on Medical Image Computing, BVM 2024 (Erlangen, March 10, 2024 – March 12, 2024)
In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2024. BVM 2024, Wiesbaden: 2024
DOI: 10.1007/978-3-658-44037-4_42
BibTeX: Download
Rivera Monroy LC., Rist L., Eberhardt M., Ostalecki C., Bauer A., Vera J., Breininger K., Maier A.:
Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural Networks
Bildverarbeitung für die Medizin 2024 (Erlangen, March 10, 2024 – March 12, 2024)
DOI: 10.1007/978-3-658-44037-4_49
BibTeX: Download
Qiu J., Aubreville M., Wilm F., Öttl M., Utz J., Schlereth M., Breininger K.:
Leveraging Image Captions for Selective Whole Slide Image Annotation
27th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2024 (Marrakesh, MAR, October 6, 2024 – October 10, 2024)
In: Marius George Linguraru, Qi Dou, Aasa Feragen, Stamatia Giannarou, Ben Glocker, Karim Lekadir, Julia A. Schnabel (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2024
DOI: 10.1007/978-3-031-72390-2_20
BibTeX: Download

2023

Journal Articles

Aubreville M., Wilm F., Stathonikos N., Breininger K., Donovan TA., Jabari S., Veta M., Ganz J., Ammeling J., van Diest PJ., Klopfleisch R., Bertram CA.:
A comprehensive multi-domain dataset for mitotic figure detection
In: Scientific Data 10 (2023), Article No.: 484
ISSN: 2052-4463
DOI: 10.1038/s41597-023-02327-4
BibTeX: Download
Wölfl AM., Schützenberger A., Breininger K., Kist A.:
Towards image-based laryngeal videostroboscopy using deep learning-enabled compressed sensing
In: Biomedical Signal Processing and Control 86, Part C (2023), Article No.: 105335
ISSN: 1746-8094
DOI: 10.1016/j.bspc.2023.105335
BibTeX: Download
Pan Z., Breininger K., Aubreville M., Stelzle F., Maier A., Oetter N., Mantsopoulos K., Iro H., Goncalves M., Sievert M.:
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
Wilm F., Ihling C., Méhes G., Terracciano L., Puget C., Klopfleisch R., Schüffler P., Aubreville M., Maier A., Mrowiec T., Breininger K.:
Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry
In: Journal of Pathology Informatics 14 (2023), Article No.: 100301
ISSN: 2229-5089
DOI: 10.1016/j.jpi.2023.100301
BibTeX: Download
Denzinger F., Wels M., Breininger K., Taubmann O., Mühlberg A., Allmendinger T., Gülsün MA., Schöbinger M., André F., Buß SJ., Görich J., Sühling M., Maier A.:
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
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Aubreville M., Stathonikos N., Bertram CA., Klopfleisch R., ter Hoeve N., Ciompi F., Wilm F., Marzahl C., Donovan TA., Maier A., Breen J., Ravikumar N., Chung Y., Park J., Nateghi R., Pourakpour F., Fick RH., Ben Hadj S., Jahanifar M., Shephard A., Dexl J., Wittenberg T., Kondo S., Lafarge MW., Koelzer VH., Liang J., Wang Y., Long X., Liu J., Razavi S., Khademi A., Yang S., Wang X., Erber R., Klang A., Lipnik K., Bolfa P., Dark MJ., Wasinger G., Veta M., Breininger K.:
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
Fragoso-Garcia M., Wilm F., Bertram CA., Merz S., Schmidt A., Donovan T., Fuchs-Baumgartinger A., Bartel A., Marzahl C., Diehl L., Puget C., Maier A., Aubreville M., Breininger K., Klopfleisch R.:
Automated diagnosis of 7 canine skin tumors using machine learning on H&E-stained whole slide images
In: Veterinary Pathology (2023)
ISSN: 0300-9858
DOI: 10.1177/03009858231189205
BibTeX: Download

Conference Contributions

Qiu J., Wilm F., Öttl M., Schlereth M., Liu C., Heimann T., Aubreville M., Breininger K.:
Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation
In: The 26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023) 2023
DOI: 10.48550/arXiv.2307.07168
BibTeX: Download
Ammeling J., Manger C., Kwaka E., Krügel S., Uhl M., Kießig A., Fritz A., Ganz J., Riener A., Bertram CA., Breininger K., Aubreville M.:
Appealing but Potentially Biasing – Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making
2023 Mensch und Computer Conference, MuC 2023 (Rapperswil, CHE, September 3, 2023 – September 6, 2023)
In: Markus Stolze, Frieder Loch, Matthias Baldauf, Florian Alt, Christina Schneegass, Thomas Kosch, Teresa Hirzle, Shadan Sadeghian, Fiona Draxler, Kenan Bektas, Katrin Lohan, Pascal Knierim (ed.): ACM International Conference Proceeding Series 2023
DOI: 10.1145/3603555.3608561
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Rivera Monroy LC., Rist L., Eberhardt M., Ostalecki C., Baur A., Vera J., Breininger K., Maier A.:
Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples
IEEE International Symposium on Biomedical Imaging (Cartagena, April 18, 2023 – April 21, 2023)
In: IEEE (ed.): 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) 2023
DOI: 10.1109/ISBI53787.2023.10230519
BibTeX: Download
Denzinger F., Wels M., Taubmann O., Kordon F., Wagner F., Mehltretter S., Gülsün MA., Schöbinger M., André F., Buß SJ., Görich J., Sühling M., Maier A., Breininger K.:
Handling Label Uncertainty on the Example of Automatic Detection of Shepherd’s Crook RCA in Coronary CT Angiography
2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI) (Cartagena, April 18, 2023 – April 21, 2023)
In: Proceedings – International Symposium on Biomedical Imaging 2023
DOI: 10.1109/ISBI53787.2023.10230565
BibTeX: Download
Querfurth Av., Kordon F., Denzinger F., Breininger K., Kunze H.:
Lung, Nodule and Airway Segmentation Using Partially Annotated Data
Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling (San Diego, CA, February 19, 2023 – February 23, 2023)
In: Cristian A. Linte, Jeffrey H. Siewerdsen (ed.): Medical Imaging 2023: Image-Guided Procedures, Robotic Interventions, and Modeling, Bellingham, WA: 2023
DOI: 10.1117/12.2653419
BibTeX: Download
Ploner S., Chen S., Won J., Husvogt L., Breininger K., Schottenhamml J., Fujimoto JG., Maier A.:
Abstract: A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT
Bildverarbeitung für die Medizin Workshop, BVM 2023 (Braunschweig, DEU, July 2, 2023 – July 4, 2023)
In: Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2023
DOI: 10.1007/978-3-658-41657-7_57
BibTeX: Download
Wilm F., Fragoso M., Marzahl C., Qiu J., Puget C., Diehl L., Bertram CA., Klopfleisch R., Maier A., Breininger K., Aubreville M.:
Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset
Bildverarbeitung für die Medizin Workshop, BVM 2023 (Braunschweig, July 2, 2023 – July 4, 2023)
In: Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2023
DOI: 10.1007/978-3-658-41657-7_45
BibTeX: Download
Aubreville M., Stathonikos N., Bertram CA., Klopfleisch R., ter Hoeve N., Ciompi F., Wilm F., Marzahl C., Donovan TA., Maier A., Veta M., Breininger K.:
Abstract: the MIDOG Challenge 2021 Mitosis Domain Generalization in Histopathology Images
Bildverarbeitung für die Medizin Workshop, BVM 2023 (Braunschweig, July 2, 2023 – July 4, 2023)
In: Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2023
DOI: 10.1007/978-3-658-41657-7_26
BibTeX: Download
Ammeling J., Schmidt LH., Ganz J., Niedermair T., Brochhausen-Delius C., Schulz C., Breininger K., Aubreville M.:
Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays
Bildverarbeitung für die Medizin Workshop, BVM 2023 (Braunschweig, DEU, July 2, 2023 – July 4, 2023)
In: Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2023
DOI: 10.1007/978-3-658-41657-7_48
BibTeX: Download
Ganz J., Lipnik K., Ammeling J., Richter B., Puget C., Parlak E., Diehl L., Klopfleisch R., Donovan TA., Kiupel M., Bertram CA., Breininger K., Aubreville M.:
Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images
Bildverarbeitung für die Medizin Workshop, BVM 2023 (Braunschweig, DEU, July 2, 2023 – July 4, 2023)
In: Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2023
DOI: 10.1007/978-3-658-41657-7_49
BibTeX: Download
Utz J., Weise T., Schlereth M., Wagner F., Thies M., Gu M., Uderhardt S., Breininger K.:
Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN
2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023 (Paris, October 2, 2023 – October 6, 2023)
In: Proceedings – 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023 2023
DOI: 10.1109/ICCVW60793.2023.00417
BibTeX: Download
Öttl M., Steenpaß J., Rübner M., Geppert CI., Qiu J., Wilm F., Hartmann A., Beckmann M., Fasching P., Maier A., Erber R., Breininger K.:
Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks
20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Cartagena, April 18, 2023 – April 21, 2023)
In: Proceedings – International Symposium on Biomedical Imaging 2023
DOI: 10.1109/ISBI53787.2023.10230503
BibTeX: Download
Utz J., Schlereth M., Qiu J., Thies M., Wagner F., Brahim OB., Gu M., Uderhardt S., Breininger K.:
McLabel: A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy
Bildverarbeitung für die Medizin Workshop, BVM 2023 (Braunschweig, DEU, July 2, 2023 – July 4, 2023)
In: Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2023
DOI: 10.1007/978-3-658-41657-7_20
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Wilm F., Fragoso M., Bertram CA., Stathonikos N., Ottl M., Qiu J., Klopfleisch R., Maier A., Aubreville M., Breininger K.:
Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology
20th IEEE International Symposium on Biomedical Imaging, ISBI 2023 (Cartagena, April 18, 2023 – April 21, 2023)
In: Proceedings – International Symposium on Biomedical Imaging 2023
DOI: 10.1109/ISBI53787.2023.10230458
BibTeX: Download
Wilm F., Fragoso M., Bertram CA., Stathonikos N., Öttl M., Qiu J., Klopfleisch R., Maier A., Breininger K., Aubreville M.:
Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset
Bildverarbeitung für die Medizin Workshop, BVM 2023 (Braunschweig, July 2, 2023 – July 4, 2023)
In: Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2023
DOI: 10.1007/978-3-658-41657-7_46
BibTeX: Download
Ammeling J., Wilm F., Ganz J., Breininger K., Aubreville M.:
Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge
25th International Conference on Medical Image Computing and Computer-Assisted Intervention , MICCAI 2022 (Singapore, SGP, September 18, 2022 – September 22, 2022)
In: Bin Sheng, Marc Aubreville (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023
DOI: 10.1007/978-3-031-33658-4_19
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Shkëmbi G., Müller J., Li Z., Breininger K., Schüffler P., Kainz B.:
Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis
1st MICCAI Workshop on Data Engineering in Medical Imaging, DEMI 2023 (Vancouver, BC, October 8, 2023 – October 8, 2023)
In: Binod Bhattarai, Sharib Ali, Anita Rau, Anh Nguyen, Ana Namburete, Razvan Caramalau, Danail Stoyanov (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2023
DOI: 10.1007/978-3-031-44992-5_2
BibTeX: Download

2022

Journal Articles

Wilm F., Fragoso M., Marzahl C., Qiu J., Puget C., Diehl L., Bertram CA., Klopfleisch R., Maier A., Breininger K., Aubreville M.:
Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset
In: Scientific Data 9 (2022), Article No.: 588
ISSN: 2052-4463
DOI: 10.1038/s41597-022-01692-w
BibTeX: Download
Kist A., Breininger K., Dörrich M., Dürr S., Schützenberger A., Semmler M.:
A single latent channel is sufficient for biomedical glottis segmentation
In: Scientific Reports 12 (2022), p. 14292-
ISSN: 2045-2322
DOI: 10.1038/s41598-022-17764-1
BibTeX: Download
Marzahl C., Hill J., Stayt J., Bienzle D., Welker L., Wilm F., Voigt J., Aubreville M., Maier A., Klopfleisch R., Breininger K., Bertram CA.:
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
Folle L., Bayat S., Kleyer A., Fagni F., Kapsner L., Schlereth M., Meinderink T., Breininger K., Tascilar K., Krönke G., Uder M., Sticherling M., Bickelhaupt S., Schett G., Maier A., Roemer F., Simon D.:
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
Bertram CA., Aubreville M., Donovan TA., Bartel A., Wilm F., Marzahl C., Assenmacher CA., Becker K., Bennett M., Corner S., Cossic B., Denk D., Dettwiler M., Gonzalez BG., Gurtner C., Haverkamp AK., Heier A., Lehmbecker A., Merz S., Noland EL., Plog S., Schmidt A., Sebastian F., Sledge DG., Smedley RC., Tecilla M., Thaiwong T., Fuchs-Baumgartinger A., Meuten DJ., Breininger K., Kiupel M., Maier A., Klopfleisch R.:
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
Bertram CA., Aubreville M., Donovan TA., Bartel A., Wilm F., Marzahl C., Assenmacher CA., Becker K., Bennett M., Corner S., Cossic B., Denk D., Dettwiler M., Gonzalez BG., Gurtner C., Haverkamp AK., Heier A., Lehmbecker A., Merz S., Noland EL., Plog S., Schmidt A., Sebastian F., Sledge DG., Smedley RC., Tecilla M., Thaiwong T., Fuchs-Baumgartinger A., Meuten DJ., Breininger K., Kiupel M., Maier A., Klopfleisch R.:
Computer Assistance: A New Gold Standard for the Mitotic Count?
In: Journal of Comparative Pathology 191 (2022)
ISSN: 0021-9975
DOI: 10.1016/j.jcpa.2021.11.017
BibTeX: Download
Bertram CA., Marzahl C., Bartel A., Stayt J., Bonsembiante F., Beeler-Marfisi J., Barton AK., Brocca G., Gelain ME., Glasel A., Du Preez K., Weiler K., Weissenbacher-Lang C., Breininger K., Aubreville M., Maier A., Klopfleisch R., Hill J.:
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

Conference Contributions

Denzinger F., Wels M., Taubmann O., Gülsün MA., Schöbinger M., Andre F., Buss SJ., Goerich J., Sühling M., Maier A., Breininger K.:
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
Folle L., Bayat S., Kleyer A., Fagni F., Kapsner L., Schlereth M., Meinderink T., Breininger K., Tascilar K., Krönke G., Uder M., Sticherling M., Bickelhaupt S., Schett G., Maier A., Roemer F., Simon D.:
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
Qiu J., Oppelt M., Nissen M., Anneken L., Breininger K., Eskofier B.:
Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation
In: : 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022
DOI: 10.1109/EMBC48229.2022.9871969
BibTeX: Download
Ploner S., Chen S., Won J., Husvogt L., Breininger K., Schottenhamml J., Fujimoto J., Maier A.:
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
Folle L., Bayat S., Kleyer A., Fagni F., Kapsner L., Schlereth M., Meinderink T., Breininger K., Tascilar K., Krönke G., Uder M., Sticherling M., Bickelhaupt S., Maier A., Roemer F., Simon D., Schett G.:
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
Schlereth M., Stromer D., Breininger K., Wagner A., Tan L., Maier A., Knieling F.:
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
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Kunzmann S., Marzahl C., Denzinger F., Bertram C., Klopfleisch R., Breininger K., Christlein V., Maier A.:
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
Fu WL., Husvogt L., Breininger K., Schaffert R., Abu-Qamar O., Fujimoto JG., Maier A.:
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
Arbogast N., Kordon F., Kunze H., Swartman B., El Barbari JS., Breininger K.:
Towards Weakly Supervised Segmentation of Orthopaedic X-ray Images Using Constrained-CNN Losses
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_30
BibTeX: Download
Kunze H., Kordon F., Maier A., Breininger K.:
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
Denzinger F., Wels M., Taubmann O., Gülsün MA., Schöbinger M., Andre F., Buss SJ., Goerich J., Sühling M., Maier A., Breininger K.:
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
Wilm F., Marzahl C., Breininger K., Aubreville M.:
Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge
24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021 (Strasbourg, FRA, September 27, 2021 – October 1, 2021)
In: Marc Aubreville, David Zimmerer, Mattias Heinrich (ed.): Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2022
DOI: 10.1007/978-3-030-97281-3_1
BibTeX: Download
Schlereth M., Stromer D., Mantri Y., Tsujimoto J., Breininger K., Maier A., Anderson C., Garimella PS., Jokerst JV.:
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
Demir K., May M., Schmid A., Uder M., Breininger K., Weise T., Maier A., Yang SH.:
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
Öttl M., Mönius J., Marzahl C., Rübner M., Geppert CI., Hartmann A., Beckmann M., Fasching P., Maier A., Erber R., Breininger K.:
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
Popp A., Taubmann O., Thamm F., Ditt H., Maier A., Breininger K.:
Thrombus Detection in Non-Contrast Head CT using Graph Deep Learning
Bildverarbeitung in der Medizin 2022 (Heidelberg)
In: Bildverarbeitung in der Medizin 2022
DOI: 10.1007/978-3-658-36932-3_33
BibTeX: Download

2021

Journal Articles

Marzahl C., Aubreville M., Bertram CA., Maier J., Bergler C., Kröger C., Voigt J., Breininger K., Klopfleisch R., Maier A.:
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
Fu WL., Breininger K., Schaffert R., Pan Z., Maier A.:
“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

Conference Contributions

Marzahl C., Wilm F., Dressler FF., Tharun L., Perner S., Bertram CA., Kröger C., Voigt J., Klopfleisch R., Maier A., Aubreville M., Breininger K.:
Robust Quad-Tree based Registration on Whole Slide Images
MICCAI Computational Pathlogy (COMPAY) Workshop
BibTeX: Download
Husvogt L., Abu-Qamar O., Levine E., Schottenhamml J., Ploner S., Breininger K., Moult E., Waheed NK., Fujimoto JG., Maier A.:
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
Denzinger F., Wels M., Breininger K., Gülsün MA., Schöbinger M., André F., Buß S., Görich J., Sühling M., Maier A.:
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
Ganz J., Kirsch T., Hoffmann L., Bertram CA., Hoffmann C., Maier A., Breininger K., Blümcke I., Jabari S., Aubreville M.:
Automatic and explainable grading of meningiomas from histopathology images
2021 MICCAI Workshop on Computational Pathology, COMPAY 2021 (Virtual, Online, September 27, 2021)
In: Manfredo Atzori, Nikolay Burlutskiy, Francesco Ciompi, Zhang Li, Fayyaz Minhas, Henning Muller, Tingying Peng, Nasir Rajpoot, Ben Torben-Nielsen, Jeroen van der Laak, Mitko Veta, Yinyin Yuan, Inti Zlobec (ed.): Proceedings of Machine Learning Research 2021
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Marzahl C., Bertram CA., Wilm F., Voigt J., Barton AK., Klopfleisch R., Breininger K., Maier A., Aubreville M.:
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
Bertram CA., Donovan TA., Tecilla M., Bartenschlager F., Fragoso M., Wilm F., Marzahl C., Breininger K., Maier A., Klopfleisch R., Aubreville M.:
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
Wilm F., Bertram CA., Marzahl C., Bartel A., Donovan TA., Assenmacher CA., Becker K., Bennett M., Corner S., Cossic B., Denk D., Dettwiler M., Gonzalez BG., Gurtner C., Heier A., Lehmbecker A., Merz S., Plog S., Schmidt A., Sebastian F., Smedley RC., Tecilla M., Thaiwong T., Breininger K., Kiupel M., Maier A., Klopfleisch R., Aubreville M.:
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
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Theelke L., Wilm F., Marzahl C., Bertram CA., Klopfleisch R., Maier A., Aubreville M., Breininger K.:
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
Breininger K., Pfister M., Kowarschik M., Maier A.:
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

2020

Book Contributions

Bootwala A., Breininger K., Maier A., Christlein V.:
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
Maier A., Christlein V., Breininger K., Wuerfl T., Unberath M., Rieß C.:
Bildanalyse
In: Günther Görz, Ute Schmid, Tanya Braun (ed.): Handbuch der Künstichen Intelligenz, De Gruyter, 2020, p. 673–712
DOI: 10.1515/9783110659948-015
BibTeX: Download

Conference Contributions

Denzinger F., Wels M., Breininger K., Gülsün MA., Schöbinger M., Andre F., Buss SJ., Goerich J., Sühling M., Maier A.:
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
Denzinger F., Wels M., Breininger K., Reidelshöfer A., Eckert J., Sühling M., Schmermund A., Maier A.:
Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics
BVM Workshop 2020 (Berlin, March 15, 2020 – March 17, 2020)
DOI: 10.1007/978-3-658-29267-6_44
BibTeX: Download
Denzinger F., Wels M., Breininger K., Reidelshöfer A., Eckert J., Sühling M., Schmermund A., Maier A.:
Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans
BVM Workshop 2020 (Berlin, March 15, 2020 – December 17, 2019)
DOI: 10.1007/978-3-658-29267-6_42
URL: https://arxiv.org/abs/1912.06417
BibTeX: Download
Fu WL., Breininger K., Pan Z., Maier A.:
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
Breininger K., Pfister M., Kowarschik M., Maier A.:
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

2019

Journal Articles

Stimpel B., Syben-Leisner C., Würfl T., Breininger K., Hölter P., Dörfler A., Maier A.:
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
Koutouzi G., Pfister M., Breininger K., Hellström M., Roos H., Falkenberg M.:
Iliac artery deformation during EVAR
In: Vascular (2019)
ISSN: 1708-5381
DOI: 10.1177/1708538119840565
BibTeX: Download
Breininger K., Hanika M., Weule M., Kowarschik M., Pfister M., Maier A.:
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

Conference Contributions

Fu WL., Breininger K., Schaffert R., Ravikumar N., Maier A.:
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
Denzinger F., Wels M., Ravikumar N., Breininger K., Reidelshöfer A., Eckert J., Sühling M., Schmermund A., Maier A.:
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
Breininger K., Hanika M., Weule M., Kowarschik M., Pfister M., Maier A.:
3D-Reconstruction of Stiff Wires from a Single Monoplane X-Ray Image
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 – March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_37
BibTeX: Download
Geimer T., Keall P., Breininger K., Caillet V., Dunbar M., Bert C., Maier A.:
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
Kurzendorfer T., Breininger K., Steidl S., Maier A., Fahrig R.:
Left ventricle segmentation in LGE-MRI using multiclass learning
Medical Imaging 2019: Image Processing (San Diego, CA, February 19, 2019 – February 21, 2019)
In: Bennett A. Landman, Elsa D. Angelini, Elsa D. Angelini, Elsa D. Angelini (ed.): Progress in Biomedical Optics and Imaging – Proceedings of SPIE 2019
DOI: 10.1117/12.2511610
BibTeX: Download
Stimpel B., Syben-Leisner C., Würfl T., Breininger K., Lommen J., Dörfler A., Maier A.:
Projection image-to-image translation in hybrid x-ray/MR imaging
Medical Imaging 2019: Image Processing (San Diego, CA, February 19, 2019 – February 21, 2019)
In: Bennett A. Landman, Elsa D. Angelini, Elsa D. Angelini, Elsa D. Angelini (ed.): Progress in Biomedical Optics and Imaging – Proceedings of SPIE 2019
DOI: 10.1117/12.2512195
BibTeX: Download
Arbogast N., Kurzendorfer T., Breininger K., Mountney P., Toth D., Narayan SA., Maier A.:
Workflow Phase Detection in Fluoroscopic Images Using Convolutional Neural Networks
Workshop on Bildverarbeitung fur die Medizin, 2019 (Lübeck, March 17, 2019 – March 19, 2019)
In: Thomas M. Deserno, Andreas Maier, Christoph Palm, Heinz Handels, Klaus H. Maier-Hein, Thomas Tolxdorff (ed.): Informatik aktuell 2019
DOI: 10.1007/978-3-658-25326-4_41
BibTeX: Download

2018

Journal Articles

Würfl T., Hoffmann M., Christlein V., Breininger K., Huang Y., Unberath M., Maier A.:
Deep Learning Computed Tomography: Learning Projection-Domain Weights from Image Domain in Limited Angle Problems
In: IEEE Transactions on Medical Imaging 37 (2018), p. 1454-1463
ISSN: 0278-0062
DOI: 10.1109/TMI.2018.2833499
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Wurfl18-DLC.pdf
BibTeX: Download
Breininger K., Albarqouni S., Kurzendorfer T., Pfister M., Kowarschik M., Maier A.:
Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair
In: International Journal of Computer Assisted Radiology and Surgery 13 (2018), p. 1221-1231
ISSN: 1861-6410
DOI: 10.1007/s11548-018-1779-6
BibTeX: Download

Conference Contributions

Kurzendorfer T., Breininger K., Steidl S., Brost A., Forman C., Maier A.:
Myocardial Scar Segmentation in LGE-MRI using Fractal Analysis and Random Forest Classification
24th International Conference on Pattern Recognition, ICPR 2018 (Beijing, August 20, 2018 – August 24, 2018)
In: Proceedings – International Conference on Pattern Recognition 2018
DOI: 10.1109/ICPR.2018.8545636
BibTeX: Download
Kurzendorfer T., Breininger K., Steidl S., Brost A., Forman C., Maier A.:
Left Ventricle Segmentation in LGE-MRI: Filter Based vs. Learning Based
2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 (Sydney, NSW, November 10, 2018 – November 17, 2018)
In: 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference, NSS/MIC 2018 – Proceedings 2018
DOI: 10.1109/NSSMIC.2018.8824478
BibTeX: Download
Huang Y., Würfl T., Breininger K., Liu L., Lauritsch G., Maier A.:
Some Investigations on Robustness of Deep Learning in Limited Angle Tomography
21st International Conference on Medical Image Computing & Computer Assisted Intervention (Granada, Spain)
In: Proceedings of the 21st International Conference on Medical Image Computing & Computer Assisted Intervention 2018
DOI: 10.1007/978-3-030-00928-1_17
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-SIO.pdf
BibTeX: Download
Fu WL., Breininger K., Schaffert R., Ravikumar N., Würfl T., Fujimoto JG., Moult EM., Maier A.:
Frangi-Net: A Neural Network Approach to Vessel Segmentation
BildVerarbeitung für die Medizin (BVM) 2018 (Erlangen, March 11, 2018 – March 13, 2018)
In: Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff (ed.): BildVerarbeitung für die Medizin (BVM) 2018, Berlin, Heidelberg: 2018
DOI: 10.1007/978-3-662-56537-7_87
URL: https://arxiv.org/abs/1711.03345
BibTeX: Download
Breininger K., Christlein V., Würfl T., Maier A.:
Deep learning fundamentals
Workshop on Bildverarbeitung fur die Medizin, 2018 (Erlangen, March 11, 2018 – March 13, 2018)
In: Heinz Handels, Thomas Tolxdorff, Thomas M. Deserno, Klaus H. Maier-Hein, Andreas Maier, Christoph Palm (ed.): Informatik aktuell 2018
DOI: 10.1007/978-3-662-56537-7_5
BibTeX: Download
Breininger K., Albarqouni S., Kurzendorfer T., Pfister M., Kowarschik M., Maier A.:
Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair
CARS 2018—Computer Assisted Radiology and Surgery Proceedings of the 32nd International Congress and Exhibition Berlin, Germany, June 20–23, 2018 (Berlin)
In: CARS 2018—Computer Assisted Radiology and Surgery Proceedings of the 32nd International Congress and Exhibition Berlin, Germany, June 20–23, 2018 2018
DOI: 10.1007/s11548-018-1779-6
BibTeX: Download
Sindel A., Breininger K., Käßer J., Heß A., Maier A., Köhler T.:
Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests
25th IEEE International Conference on Image Processing, ICIP 2018
DOI: 10.1109/ICIP.2018.8451320
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Sindel18-LFA.pdf
BibTeX: Download
Breininger K., Würfl T., Kurzendorfer T., Albarqouni S., Pfister M., Kowarschik M., Navab N., Maier A.:
Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning
Joint MICCAI-Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT) (Granada, Spain, September 16, 2018 – September 16, 2018)
In: Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, Springer: 2018
DOI: 10.1007/978-3-030-01364-6_3
BibTeX: Download
Syben-Leisner C., Stimpel B., Breininger K., Würfl T., Fahrig R., Dörfler A., Maier A.:
Precision Learning: Reconstruction Filter Kernel Discretization
5th International Conference on Image Formation in X-ray Computed Tomography (Salt Lake City, Utha, USA)
In: Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography 2018
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Syben18-PLR.pdf
BibTeX: Download

2017

Journal Articles

Wrosch JK., Von Einem V., Breininger K., Dahlmanns M., Maier A., Kornhuber J., Groemer TW.:
Rewiring of neuronal networks during synaptic silencing
In: Scientific Reports 7 (2017)
ISSN: 2045-2322
DOI: 10.1038/s41598-017-11729-5
BibTeX: Download

Conference Contributions

Breininger K., Pfister M., Koutouzi G., Kowarschik M., Maier A.:
Estimation of femoral artery access location for anatomic deformation correction
3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie (Magdeburg, November 6, 2017 – November 7, 2017)
In: 3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie 2017
BibTeX: Download

2016

Conference Contributions

Aichert A., Breininger K., Köhler T., Maier A.:
Efficient Epipolar Consistency
4th International Conference on Image Formation in X-Ray Computed Tomography (Bamberg, Germany)
In: Proceedings of the 4th CT Meeting 2016
URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Aichert16-EEC.pdf
BibTeX: Download

2014

Conference Contributions

Breininger K., Maier A., Forman C., Flatz W., Messmer C., Schuster M.:
Alae Tracker: Tracking of the Nasal Walls in MR-Imaging
Bildverarbeitung für die Medizin 2014 (Aachen)
In: Bildverarbeitung für die Medizin 2014, Berlin: 2014
DOI: 10.1007/978-3-642-54111-7_62
URL: http://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2014/Breininger14-ATT.pdf
BibTeX: Download

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Academic CV

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2024

IZKF-S2 Tame the Flame (M3): Interplay of cell trafficking and mechanics as a pathomechanism in immune-mediated inflammation TAME THE FLAME

Untersuchung von In-situ-Gewebeschemata mittels volumetrischer Bildgebung und maschinellem Lernen für die Bildanalyse

2023

Exploring Brain Mechanics (EBM): Understanding, engineering and exploiting mechanical properties and signals in central nervous system development, physiology and pathology

Maschinelles Lernen und Datenanalyse für heterogene, artübergreifende Daten (X02)

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2026

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2025

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2024

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2023

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2022

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2021

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2020

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2019

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2018

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2017

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2016

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2014

Conference Contributions

Lectures

IZKF-S2 Tame the Flame (M3): Interplay of cell trafficking and mechanics as a pathomechanism in immune-mediated inflammation TAME THE FLAME

Exploring Brain Mechanics (EBM):
Understanding, engineering and exploiting mechanical properties and signals in central nervous system development, physiology and pathology