Katharina Breininger

171 papers B 5Misc 1Journal 80Unranked 79

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Abstract: Faster, Self-supervised Super-resolution for Anisotropic Multi-view MRI using a Sparse Loss. Bildverarbeitung für die Medizin Maja Schlereth, Moritz Schillinger, Katharina Breininger
2026	—	`conf`	Abstract: Investigation of Class Separability within Object Detection Models in Histopathology. Bildverarbeitung für die Medizin Jonas Ammeling, Jonathan Ganz, Frauke Wilm, Katharina Breininger, Marc Aubreville
2026	J	`jnl`	Analyzing and adapting diffusion segmentation behavior for medical images. Biomed. Signal Process. Control. Mathias Öttl, Siyuan Mei, Frauke Wilm, Jingna Qiu, Jana Steenpass, Matthias Rübner, Arndt Hartmann, Hanna Hübner, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger
2026	—	`ed.`	Bildverarbeitung für die Medizin 2026 - Proceedings, German Conference on Medical Image Computing, Luebeck, March 15 - 17, 2026 Bildverarbeitung für die Medizin Heinz Handels, Katharina Breininger, Thomas M. Deserno, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm, Thomas Tolxdorff
2026	—	`conf`	Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces SWAN. Bildverarbeitung für die Medizin Sweta Banerjee, Timo Gosch, Sara Hester, Viktoria Weiss, Thomas Conrad, Taryn A. Donovan, Nils Porsche, Jonas Ammeling, Christoph Stroblberger, Robert Klopfleisch, Christopher C. Kaltenecker, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2026	—	`conf`	Flexible Multiplanar Viewer with Easy Adaptability for Expert Studies, Questionnaires, and Investigational Imaging Biomarker Assessment. Bildverarbeitung für die Medizin Maja Schlereth, Filippo Fagni, Moritz Schillinger, Katharina Breininger
2026	—	`ed.`	Skin Image Analysis, and Computer-Aided Pelvic Imaging for Female Health - 10th International Workshop, ISIC 2025, and First International Workshop, CAPI 2025, Held in Conjunction with MICCAI 2025, Daejeon, South Korea, September 23, 2025, Proceedings ISIC@MICCAI M. Emre Celebi, Johanna Paula Müller, Catarina Barata, Allan Halpern, Philipp Tschandl, Marc Combalia, Yuan Liu, Kumar Abhishek, Joanna Jaworek-Korjakowska, Moi Hoon Yap, Katharina Breininger, Maximilian Lindholz, Jana Hutter, Richard Ruppel, Smiti Tripathy, Franziska Mathis-Ullrich, Stefanie Burghaus, Matthias May
2025	J	`jnl`	A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma. CoRR Ahmed Gomaa, Yixing Huang, Pluvio Stephan, Katharina Breininger, Benjamin Frey, Arnd Dörfler, Oliver Schnell, Daniel Delev, Roland Coras, Charlotte Schmitter, Jenny Stritzelberger, Sabine Semrau, Andreas K. Maier, Siming Bayer, Stephan Schönecker, Dieter Henrik Heiland, Peter H. N. de With, Udo S. Gaipl, Christoph Bert, Rainer Fietkau, Manuel A. Schmidt, Florian Putz
2025	—	`conf`	Abstract: Information Mismatch in PHH3-assisted Mitosis Annotation Leads to Interpretation Shifts in H&E Slide Analysis. Bildverarbeitung für die Medizin Jonathan Ganz, Christian Marzahl, Jonas Ammeling, Emely Rosbach, Taryn A. Donovan, Samir Jabari, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2025	—	`conf`	Abstract: Leveraging Image Captions for Selective Whole Slide Image Annotation. Bildverarbeitung für die Medizin Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger
2025	—	`conf`	Abstract: Multi-level Cancer Profiling through Joint Cell-graph Representations. Bildverarbeitung für die Medizin Luis Carlos Rivera Monroy, Leonhard Rist, Frauke Wilm, Christian Ostalecki, Andreas Baur, Julio Vera, Katharina Breininger, Andreas K. Maier
2025	—	`conf`	Abstract: Re-identification from Histopathology Images. Bildverarbeitung für die Medizin Jonathan Ganz, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville
2025	J	`jnl`	Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation. CoRR Sweta Banerjee, Viktoria Weiss, Taryn A. Donovan, Rutger A. Fick, Thomas Conrad, Jonas Ammeling, Nils Porsche, Robert Klopfleisch, Christopher C. Kaltenecker, Katharina Breininger, Marc Aubreville, Christof A. Bertram
2025	J	`jnl`	Benchmarking Foundation Models for Mitotic Figure Classification. CoRR Jonas Ammeling, Jonathan Ganz, Emely Rosbach, Ludwig Lausser, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2025	—	`ed.`	Bildverarbeitung für die Medizin 2025 - Proceedings, German Conference on Medical Image Computing, Regensburg, March 09-11, 2025 Bildverarbeitung für die Medizin Christoph Palm, Katharina Breininger, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Thomas Tolxdorff
2025	—	`conf`	Comprehensive Dataset of Coarse Tumor Annotations for The Cancer Genome Atlas Breast Invasive Carcinoma. Bildverarbeitung für die Medizin Sweta Banerjee, Christof A. Bertram, Jonas Ammeling, Viktoria Weiss, Thomas Conrad, Robert Klopfleisch, Christopher C. Kaltenecker, Katharina Breininger, Marc Aubreville
2025	J	`jnl`	CyclePose - Leveraging Cycle-Consistency for Annotation-Free Nuclei Segmentation in Fluorescence Microscopy. CoRR Jonas Utz, Stefan Vocht, Anne Tjorven Buessen, Dennis Possart, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger
2025	J	`jnl`	Dataset Distillation with Probabilistic Latent Features. CoRR Zhe Li, Sarah Cechnicka, Cheng Ouyang, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
2025	J	`jnl`	Dataset creation for supervised deep learning-based analysis of microscopic images - review of important considerations and recommendations. CoRR Christof A. Bertram, Viktoria Weiss, Jonas Ammeling, F. Maria Schabel, Taryn A. Donovan, Frauke Wilm, Christian Marzahl, Katharina Breininger, Marc Aubreville
2025	J	`jnl`	Decomposition Sampling for Efficient Region Annotations in Active Learning. CoRR Jingna Qiu, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Moritz Schillinger, Marc Aubreville, Katharina Breininger
2025	J	`jnl`	DiffRenderGAN: Addressing Training Data Scarcity in Deep Segmentation Networks for Quantitative Nanomaterial Analysis through Differentiable Rendering and Generative Modelling. CoRR Dennis Possart, Leonid Mill, Florian Vollnhals, Tor Hildebrand, Peter Suter, Mathis Hoffmann, Jonas Utz, Daniel Augsburger, Mareike Thies, Mingxuan Wu, Fabian Wagner, George Sarau, Silke H. Christiansen, Katharina Breininger
2025	J	`jnl`	Effortless Vision-Language Model Specialization in Histopathology without Annotation. CoRR Jingna Qiu, Nishanth Jain, Jonas Ammeling, Marc Aubreville, Katharina Breininger
2025	J	`jnl`	Faster, Self-Supervised Super-Resolution for Anisotropic Multi-View MRI Using a Sparse Coordinate Loss. CoRR Maja Schlereth, Moritz Schillinger, Katharina Breininger
2025	—	`conf`	Faster, Self-supervised Super-Resolution for Anisotropic Multi-view MRI Using a Sparse Coordinate Loss. MICCAI (3) Maja Schlereth, Moritz Schillinger, Katharina Breininger
2025	J	`jnl`	Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features. Int. J. Comput. Assist. Radiol. Surg. Luis Carlos Rivera Monroy, Leonhard Rist, Christian Ostalecki, Andreas Bauer, Julio Vera, Katharina Breininger, Andreas K. Maier
2025	—	`conf`	HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift. MICCAI (6) Jingsong Liu, Han Li, Chen Yang, Michael Deutges, Ario Sadafi, Xin You, Katharina Breininger, Nassir Navab, Peter J. Schüffler
2025	J	`jnl`	HASD: Hierarchical Adaption for pathology Slide-level Domain-shift. CoRR Jingsong Liu, Han Li, Chen Yang, Michael Deutges, Ario Sadafi, Xin You, Katharina Breininger, Nassir Navab, Peter J. Schüffler
2025	J	`jnl`	Investigation of Class Separability Within Object Detection Models in Histopathology. IEEE Trans. Medical Imaging Jonas Ammeling, Jonathan Ganz, Frauke Wilm, Katharina Breininger, Marc Aubreville
2025	—	`conf`	Is Self-supervision Enough? - Benchmarking Foundation Models Against End-to-end Training for Mitotic Figure Classification. Bildverarbeitung für die Medizin Jonathan Ganz, Jonas Ammeling, Emely Rosbach, Ludwig Lausser, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2025	J	`jnl`	Large-Scale Pre-training Enables Multimodal AI Differentiation of Radiation Necrosis from Brain Metastasis Progression on Routine MRI. CoRR Ahmed Gomaa, Annette Schwarz, Ludwig Singer, Arnd Dörfler, Matthias Stefan May, Pluvio Stephan, Ishita Sheth, Juliane Szkitsak, Katharina Breininger, Yixing Huang, Benjamin Frey, Oliver Schnell, Daniel Delev, Roland Coras, Daniel Höfler, Philipp Schubert, Jenny Stritzelberger, Sabine Semrau, Andreas K. Maier, Dieter Henrik Heiland, Udo S. Gaipl, Andrea Wittig, Rainer Fietkau, Christoph Bert, Stefanie Corradini, Florian Putz
2025	J	`jnl`	Learning-based autonomous navigation, benchmark environments and simulation framework for endovascular interventions. Comput. Biol. Medicine Lennart Karstensen, Harry Robertshaw, Johannes Hatzl, Benjamin Jackson, Jens Langejürgen, Katharina Breininger, Christian Uhl, S. M. Hadi Sadati, Thomas C. Booth, Christos Bergeles, Franziska Mathis-Ullrich
2025	J	`jnl`	Re-identification from histopathology images. Medical Image Anal. Jonathan Ganz, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville
2025	J	`jnl`	SWAN - Enabling Fast and Mobile Histopathology Image Annotation through Swipeable Interfaces. CoRR Sweta Banerjee, Timo Gosch, Sara Hester, Viktoria Weiss, Thomas Conrad, Taryn A. Donovan, Nils Porsche, Jonas Ammeling, Christoph Stroblberger, Robert Klopfleisch, Christopher C. Kaltenecker, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2025	J	`jnl`	Stochastic latent feature distillation: Enhancing dataset distillation via structured uncertainty modeling. J. Vis. Commun. Image Represent. Zhe Li, Sarah Cechnicka, Cheng Ouyang, Katharina Breininger, Peter Schüffler, Bernhard Kainz
2025	J	`jnl`	The explainable AI dilemma under knowledge imbalance in specialist AI for glaucoma referrals in primary care. npj Digit. Medicine Catalina Gomez, Ruolin Wang, Katharina Breininger, Corinne Casey, Chris Bradley, Mitchell Pavlak, Alex Pham, Jithin Yohannan, Mathias Unberath
2024	—	`conf`	Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. Bildverarbeitung für die Medizin Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger
2024	—	`conf`	Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection. Bildverarbeitung für die Medizin Marc Aubreville, Frauke Wilm, Nikolas Stathonikos, Katharina Breininger, Taryn A. Donovan, Samir Jabari, Robert Klopfleisch, Mitko Veta, Jonathan Ganz, Jonas Ammeling, Paul J. van Diest, Christof A. Bertram
2024	—	`conf`	Abstract: Cytologic Scoring of Equine Exercise-induced Pulmonary Hemorrhage - Performance of Human Experts and a Deep Learning. Bildverarbeitung für die Medizin Christof A. Bertram, Christian Marzahl, Alexander Bartel, Jason Stayt, Federico Bonsembiante, Janet Beeler-Marfisi, Ann K. Barton, Ginevra Brocca, Maria E. Gelain, Agnes C. Gläsel, Kelly du Preez, Kristina Weiler, Christiane Weissenbacher-Lang, Katharina Breininger, Marc Aubreville, Andreas K. Maier, Robert Klopfleisch, Jenny Hill
2024	—	`conf`	Abstract: Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography. Bildverarbeitung für die Medizin Felix Denzinger, Michael Wels, Oliver Taubmann, Florian Kordon, Fabian Wagner, Stephanie Mehltretter, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier, Katharina Breininger
2024	J	`jnl`	Analysing Diffusion Segmentation for Medical Images. CoRR Mathias Öttl, Siyuan Mei, Frauke Wilm, Jana Steenpass, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger
2024	—	`conf`	Appearance-based Debiasing of Deep Learning Models in Medical Imaging. Bildverarbeitung für die Medizin Frauke Wilm, Marcel Reimann, Oliver Taubmann, Alexander Mühlberg, Katharina Breininger
2024	—	`conf`	Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning. Bildverarbeitung für die Medizin Jonathan Ganz, Chloé Puget, Jonas Ammeling, Eda Parlak, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Robert Klopfleisch, Marc Aubreville
2024	—	`conf`	Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry. Bildverarbeitung für die Medizin Jonas Ammeling, Moritz Hecker, Jonathan Ganz, Taryn A. Donovan, Robert Klopfleisch, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2024	—	`conf`	Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural Networks. Bildverarbeitung für die Medizin Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Bauer, Julio Vera, Katharina Breininger, Andreas K. Maier
2024	J	`jnl`	Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma. CoRR Ahmed Gomaa, Yixing Huang, Amr Hagag, Charlotte Schmitter, Daniel Höfler, Thomas Weissmann, Katharina Breininger, Manuel A. Schmidt, Jenny Stritzelberger, Daniel Delev, Roland Coras, Arnd Dörfler, Oliver Schnell, Benjamin Frey, Udo S. Gaipl, Sabine Semrau, Christoph Bert, Rainer Fietkau, Florian Putz
2024	J	`jnl`	Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides. CoRR Chloé Puget, Jonathan Ganz, Julian Ostermaier, Thomas Konrad, Eda Parlak, Christof Albert Bertram, Matti Kiupel, Katharina Breininger, Marc Aubreville, Robert Klopfleisch
2024	J	`jnl`	Domain and Content Adaptive Convolutions for Cross-Domain Adenocarcinoma Segmentation. CoRR Frauke Wilm, Mathias Öttl, Marc Aubreville, Katharina Breininger
2024	J	`jnl`	Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. Medical Image Anal. Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonas Ammeling, Jonathan Ganz, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Çayir, Hongyan Gu, Xiang Anthony Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram
2024	—	`conf`	Evaluation of Semi-automatic Segmentation of Liver Tumors for Intra-procedural Planning. Bildverarbeitung für die Medizin Dominik Pysch, Maja Schlereth, Mihai Pomohaci, Peter Fischer, Katharina Breininger
2024	J	`jnl`	Explainable AI Enhances Glaucoma Referrals, Yet the Human-AI Team Still Falls Short of the AI Alone. CoRR Catalina Gomez, Ruolin Wang, Katharina Breininger, Corinne Casey, Chris Bradley, Mitchell Pavlak, Alex Pham, Jithin Yohannan, Mathias Unberath
2024	—	`conf`	Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors. Bildverarbeitung für die Medizin Marc Aubreville, Zhaoya Pan, Matti Sievert, Jonas Ammeling, Jonathan Ganz, Nicolai Oetter, Florian Stelzle, Ann-Kathrin Frenken, Katharina Breininger, Miguel Goncalves
2024	J	`jnl`	Is Self-Supervision Enough? Benchmarking Foundation Models Against End-to-End Training for Mitotic Figure Classification. CoRR Jonathan Ganz, Jonas Ammeling, Emely Rosbach, Ludwig Lausser, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2024	J	`jnl`	Learning-Based Autonomous Navigation, Benchmark Environments and Simulation Framework for Endovascular Interventions. CoRR Lennart Karstensen, Harry Robertshaw, Johannes Hatzl, Benjamin Jackson, Jens Langejürgen, Katharina Breininger, Christian Uhl, S. M. Hadi Sadati, Thomas C. Booth, Christos Bergeles, Franziska Mathis-Ullrich
2024	—	`conf`	Leveraging Image Captions for Selective Whole Slide Image Annotation. MICCAI (12) Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger
2024	J	`jnl`	Leveraging image captions for selective whole slide image annotation. CoRR Jingna Qiu, Marc Aubreville, Frauke Wilm, Mathias Öttl, Jonas Utz, Maja Schlereth, Katharina Breininger
2024	J	`jnl`	On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images. CoRR Jonathan Ganz, Christian Marzahl, Jonas Ammeling, Barbara Richter, Chloé Puget, Daniela Denk, Elena A. Demeter, Flaviu A. Tabaran, Gabriel Wasinger, Karoline Lipnik, Marco Tecilla, Matthew J. Valentine, Michael J. Dark, Niklas Abele, Pompei Bolfa, Ramona Erber, Robert Klopfleisch, Sophie Merz, Taryn A. Donovan, Samir Jabari, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2024	J	`jnl`	Re-identification from histopathology images. CoRR Jonathan Ganz, Jonas Ammeling, Samir Jabari, Katharina Breininger, Marc Aubreville
2024	J	`jnl`	Rethinking U-net Skip Connections for Biomedical Image Segmentation. CoRR Frauke Wilm, Jonas Ammeling, Mathias Öttl, Rutger H. J. Fick, Marc Aubreville, Katharina Breininger
2024	J	`jnl`	Style-Extracting Diffusion Models for Semi-Supervised Histopathology Segmentation. CoRR Mathias Öttl, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger
2024	—	`conf`	Style-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation. ECCV (75) Mathias Öttl, Frauke Wilm, Jana Steenpass, Jingna Qiu, Matthias Rübner, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Bernhard Kainz, Katharina Breininger
2023	—	`conf`	Abstract: A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT. Bildverarbeitung für die Medizin Stefan B. Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James G. Fujimoto, Andreas K. Maier
2023	—	`conf`	Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset. Bildverarbeitung für die Medizin Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Chloé Puget, Laura Diehl, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville
2023	—	`conf`	Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images. Bildverarbeitung für die Medizin Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Mitko Veta, Katharina Breininger
2023	—	`conf`	Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. MICCAI (2) Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger
2023	J	`jnl`	Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. CoRR Jingna Qiu, Frauke Wilm, Mathias Öttl, Maja Schlereth, Chang Liu, Tobias Heimann, Marc Aubreville, Katharina Breininger
2023	Misc	`conf`	Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making. MuC Jonas Ammeling, Carina Manger, Elias Kwaka, Sebastian Krügel, Matthias Uhl, Angelika Kießig, Alexis Fritz, Jonathan Ganz, Andreas Riener, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2023	—	`conf`	Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. Bildverarbeitung für die Medizin Jonas Ammeling, Lars-Henning Schmidt, Jonathan Ganz, Tanja Niedermair, Christoph Brochhausen-Delius, Christian Schulz, Katharina Breininger, Marc Aubreville
2023	J	`jnl`	Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard. CoRR Jonas Ammeling, Moritz Hecker, Jonathan Ganz, Taryn A. Donovan, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2023	J	`jnl`	Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data Using Graph Neural Networks. CoRR Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Bauer, Julio Vera, Katharina Breininger, Andreas K. Maier
2023	—	`conf`	Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images. Bildverarbeitung für die Medizin Jonathan Ganz, Karoline Lipnik, Jonas Ammeling, Barbara Richter, Chloé Puget, Eda Parlak, Laura Diehl, Robert Klopfleisch, Taryn A. Donovan, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2023	—	`conf`	Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector. Bildverarbeitung für die Medizin Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram
2023	J	`jnl`	Domain generalization across tumor types, laboratories, and species - insights from the 2022 edition of the Mitosis Domain Generalization Challenge. CoRR Marc Aubreville, Nikolas Stathonikos, Taryn A. Donovan, Robert Klopfleisch, Jonathan Ganz, Jonas Ammeling, Frauke Wilm, Mitko Veta, Samir Jabari, Markus Eckstein, Jonas Annuscheit, Christian Krumnow, Engin Bozaba, Sercan Cayir, Hongyan Gu, Xiang 'Anthony' Chen, Mostafa Jahanifar, Adam Shephard, Satoshi Kondo, Satoshi Kasai, Sujatha Kotte, VG Saipradeep, Maxime W. Lafarge, Viktor H. Koelzer, Ziyue Wang, Yongbing Zhang, Sen Yang, Xiyue Wang, Katharina Breininger, Christof A. Bertram
2023	—	`conf`	Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples. ISBI Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Baur, Julio Vera, Katharina Breininger, Andreas Maier
2023	J	`jnl`	Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors. CoRR Marc Aubreville, Zhaoya Pan, Matti Sievert, Jonas Ammeling, Jonathan Ganz, Nicolai Oetter, Florian Stelzle, Ann-Kathrin Frenken, Katharina Breininger, Miguel Goncalves
2023	—	`conf`	Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN. ICCV (Workshops) Jonas Utz, Tobias Weise, Maja Schlereth, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger
2023	J	`jnl`	Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN. CoRR Jonas Utz, Tobias Weise, Maja Schlereth, Fabian Wagner, Mareike Thies, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger
2023	—	`conf`	Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography. ISBI Felix Denzinger, Michael Wels, Oliver Taubmann, Florian Kordon, Fabian Wagner, Stephanie Mehltretter, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier, Katharina Breininger
2023	—	`conf`	Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks. ISBI Mathias Öttl, Jana Steenpass, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas Maier, Ramona Erber, Katharina Breininger
2023	—	`conf`	Lung, nodule, and airway segmentation using partially annotated data. Image-Guided Procedures Anne von Querfurth, Florian Kordon, Felix Denzinger, Katharina Breininger, Holger Kunze
2023	—	`conf`	McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy. Bildverarbeitung für die Medizin Jonas Utz, Maja Schlereth, Jingna Qiu, Mareike Thies, Fabian Wagner, Oumaima B. Brahim, Mingxuan Gu, Stefan Uderhardt, Katharina Breininger
2023	—	`conf`	Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology. ISBI Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger
2023	J	`jnl`	Mitosis domain generalization in histopathology images - The MIDOG challenge. Medical Image Anal. Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Adam Shephard, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Ramona Erber, Andrea Klang, Karoline Lipnik, Pompei Bolfa, Michael J. Dark, Gabriel Wasinger, Mitko Veta, Katharina Breininger
2023	J	`jnl`	Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. CoRR Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville
2023	—	`conf`	Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. Bildverarbeitung für die Medizin Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville
2023	J	`jnl`	Towards image-based laryngeal videostroboscopy using deep learning-enabled compressed sensing. Biomed. Signal Process. Control. Anna-Maria Wölfl, Anne Schützenberger, Katharina Breininger, Andreas M. Kist
2023	—	`conf`	Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. DEMI@MICCAI Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
2023	J	`jnl`	Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. CoRR Glejdis Shkëmbi, Johanna P. Müller, Zhe Li, Katharina Breininger, Peter J. Schüffler, Bernhard Kainz
2022	—	`conf`	A Spatiotemporal Model for Precise and Efficient Fully-Automatic 3D Motion Correction in OCT. MICCAI (2) Stefan B. Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James G. Fujimoto, Andreas Maier
2022	J	`jnl`	A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT. CoRR Stefan B. Ploner, Siyu Chen, Jungeun Won, Lennart Husvogt, Katharina Breininger, Julia Schottenhamml, James G. Fujimoto, Andreas K. Maier
2022	J	`jnl`	Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. CoRR Jonas Ammeling, Lars-Henning Schmidt, Jonathan Ganz, Tanja Niedermair, Christoph Brochhausen-Delius, Christian Schulz, Katharina Breininger, Marc Aubreville
2022	—	`conf`	Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging. Bildverarbeitung für die Medizin Maja Schlereth, Daniel Stromer, Katharina Breininger, Alexandra Wagner, Lina Tan, Andreas K. Maier, Ferdinand Knieling
2022	J	`jnl`	Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging. CoRR Maja Schlereth, Daniel Stromer, Katharina Breininger, Alexandra Wagner, Lina Tan, Andreas K. Maier, Ferdinand Knieling
2022	J	`jnl`	CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. CoRR Felix Denzinger, Michael Wels, Oliver Taubmann, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian J. Buss, Johannes Görich, Michael Sühling, Andreas K. Maier, Katharina Breininger
2022	J	`jnl`	Deep Learning-Based Automatic Assessment of AgNOR-scores in Histopathology Images. CoRR Jonathan Ganz, Karoline Lipnik, Jonas Ammeling, Barbara Richter, Chloé Puget, Eda Parlak, Laura Diehl, Robert Klopfleisch, Taryn A. Donovan, Matti Kiupel, Christof A. Bertram, Katharina Breininger, Marc Aubreville
2022	J	`jnl`	Deep learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-Free Object Detector. CoRR Marc Aubreville, Jonathan Ganz, Jonas Ammeling, Taryn A. Donovan, Rutger H. J. Fick, Katharina Breininger, Christof A. Bertram
2022	B	`conf`	Direct and indirect image rotation estimation methods of orthopedic x-ray images. Image Processing Holger Kunze, Florian Kordon, Andreas Maier, Katharina Breininger
2022	J	`jnl`	Employing Graph Representations for Cell-level Characterization of Melanoma MELC Samples. CoRR Luis Carlos Rivera Monroy, Leonhard Rist, Martin Eberhardt, Christian Ostalecki, Andreas Baur, Julio Vera, Katharina Breininger, Andreas K. Maier
2022	—	`conf`	First Steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain. Bildverarbeitung für die Medizin Sonja Kunzmann, Christian Marzahl, Felix Denzinger, Christof Bertram, Robert Klopfleisch, Katharina Breininger, Vincent Christlein, Andreas K. Maier
2022	—	`conf`	Form Follows Function - Smart Network Design Enables Zero-shot Network Reuse. Bildverarbeitung für die Medizin Weilin Fu, Lennart Husvogt, Katharina Breininger, Roman Schaffert, Omar Abu-Qamar, James G. Fujimoto, Andreas K. Maier
2022	J	`jnl`	Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks. CoRR Mathias Öttl, Jana Mönius, Matthias Rübner, Carol I. Geppert, Jingna Qiu, Frauke Wilm, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger
2022	—	`conf`	Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation. EMBC Jingna Qiu, Maximilian P. Oppelt, Michael Nissen, Lars Anneken, Katharina Breininger, Bjoern M. Eskofier
2022	—	`conf`	Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging. Bildverarbeitung für die Medizin Maja Schlereth, Daniel Stromer, Yash Mantri, Jason Tsujimoto, Katharina Breininger, Andreas K. Maier, Caesar Anderson, Pranav S. Garimella, Jesse V. Jokerst
2022	J	`jnl`	Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging. CoRR Maja Schlereth, Daniel Stromer, Yash Mantri, Jason Tsujimoto, Katharina Breininger, Andreas K. Maier, Caesar Anderson, Pranav S. Garimella, Jesse V. Jokerst
2022	J	`jnl`	Mind the Gap: Scanner-induced domain shifts pose challenges for representation learning in histopathology. CoRR Frauke Wilm, Marco Fragoso, Christof A. Bertram, Nikolas Stathonikos, Mathias Öttl, Jingna Qiu, Robert Klopfleisch, Andreas K. Maier, Marc Aubreville, Katharina Breininger
2022	J	`jnl`	Mitosis domain generalization in histopathology images - The MIDOG challenge. CoRR Marc Aubreville, Nikolas Stathonikos, Christof A. Bertram, Robert Klopfleisch, Natalie D. ter Hoeve, Francesco Ciompi, Frauke Wilm, Christian Marzahl, Taryn A. Donovan, Andreas K. Maier, Jack Breen, Nishant Ravikumar, Youjin Chung, Jinah Park, Ramin Nateghi, Fattaneh Pourakpour, Rutger H. J. Fick, Saima Ben Hadj, Mostafa Jahanifar, Nasir M. Rajpoot, Jakob Dexl, Thomas Wittenberg, Satoshi Kondo, Maxime W. Lafarge, Viktor H. Koelzer, Jingtang Liang, Yubo Wang, Xi Long, Jingxin Liu, Salar Razavi, April Khademi, Sen Yang, Xiyue Wang, Mitko Veta, Katharina Breininger
2022	J	`jnl`	Pan-Tumor CAnine cuTaneous Cancer Histology (CATCH) Dataset. CoRR Frauke Wilm, Marco Fragoso, Christian Marzahl, Jingna Qiu, Christof A. Bertram, Robert Klopfleisch, Andreas K. Maier, Katharina Breininger, Marc Aubreville
2022	—	`conf`	PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant Using Interventional Radiology Workflow Analysis. TSD Kubilay Can Demir, Matthias S. May, Axel Schmid, Michael Uder, Katharina Breininger, Tobias Weise, Andreas K. Maier, Seung Hee Yang
2022	J	`jnl`	PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant using Interventional Radiology Workflow Analysis. CoRR Kubilay Can Demir, Matthias S. May, Axel Schmid, Michael Uder, Katharina Breininger, Tobias Weise, Andreas K. Maier, Seung Hee Yang
2022	—	`conf`	Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge. MIDOG/DRAC@MICCAI Jonas Ammeling, Frauke Wilm, Jonathan Ganz, Katharina Breininger, Marc Aubreville
2022	J	`jnl`	Superpixel Pre-Segmentation of HER2 Slides for Efficient Annotation. CoRR Mathias Öttl, Jana Mönius, Christian Marzahl, Matthias Rübner, Carol I. Geppert, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger
2022	—	`conf`	Superpixel Pre-segmentation of HER2 Slides for Efficient Annotation. Bildverarbeitung für die Medizin Mathias Öttl, Jana Mönius, Christian Marzahl, Matthias Rübner, Carol I. Geppert, Arndt Hartmann, Matthias W. Beckmann, Peter A. Fasching, Andreas K. Maier, Ramona Erber, Katharina Breininger
2022	—	`conf`	Thrombus Detection in Non-contrast Head CT Using Graph Deep Learning. Bildverarbeitung für die Medizin Antonia Popp, Oliver Taubmann, Florian Thamm, Hendrik Ditt, Andreas K. Maier, Katharina Breininger
2022	—	`conf`	TowardsWeakly Supervised Segmentation of Orthopaedic X-ray Images Using Constrained-CNN Losses. Bildverarbeitung für die Medizin Nikolaus Arbogast, Holger Kunze, Florian Kordon, Benedict Swartman, Jan Siad El Barbari, Katharina Breininger
2021	J	`jnl`	"Keep it simple, scholar": an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging. Int. J. Comput. Assist. Radiol. Surg. Weilin Fu, Katharina Breininger, Roman Schaffert, Zhaoya Pan, Andreas K. Maier
2021	—	`conf`	Abstract: Automatic CAD-RADS Scoring using Deep Learning. Bildverarbeitung für die Medizin Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas Maier
2021	—	`conf`	Abstract: Move Over There One-click Deformation Correction for Image Fusion during Endovascular Aortic Repair. Bildverarbeitung für die Medizin Katharina Breininger, Marcus Pfister, Markus Kowarschik, Andreas Maier
2021	—	`conf`	Automatic and explainable grading of meningiomas from histopathology images. COMPAY@MICCAI Jonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas K. Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville
2021	J	`jnl`	Automatic and explainable grading of meningiomas from histopathology images. CoRR Jonathan Ganz, Tobias Kirsch, Lucas Hoffmann, Christof A. Bertram, Christoph Hoffmann, Andreas Maier, Katharina Breininger, Ingmar Blümcke, Samir Jabari, Marc Aubreville
2021	—	`conf`	Cell Detection for Asthma on Partially Annotated Whole Slide Images - Learning to be EXACT. Bildverarbeitung für die Medizin Christian Marzahl, Christof A. Bertram, Frauke Wilm, Jörn Voigt, Ann K. Barton, Robert Klopfleisch, Katharina Breininger, Andreas Maier, Marc Aubreville
2021	J	`jnl`	Dataset on Bi- and Multi-Nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. CoRR Christof A. Bertram, Taryn A. Donovan, Marco Tecilla, Florian Bartenschlager, Marco Fragoso, Frauke Wilm, Christian Marzahl, Katharina Breininger, Andreas Maier, Robert Klopfleisch, Marc Aubreville
2021	—	`conf`	Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. Bildverarbeitung für die Medizin Christof A. Bertram, Taryn A. Donovan, Marco Tecilla, Florian Bartenschlager, Marco Fragoso, Frauke Wilm, Christian Marzahl, Katharina Breininger, Andreas Maier, Robert Klopfleisch, Marc Aubreville
2021	J	`jnl`	Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization (MIDOG) Challenge. CoRR Frauke Wilm, Katharina Breininger, Marc Aubreville
2021	—	`conf`	Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge. MIDOG/MOOD/Learn2Reg@MICCAI Frauke Wilm, Christian Marzahl, Katharina Breininger, Marc Aubreville
2021	J	`jnl`	First steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain. CoRR Sonja Kunzmann, Christian Marzahl, Felix Denzinger, Christof A. Bertram, Robert Klopfleisch, Katharina Breininger, Vincent Christlein, Andreas K. Maier
2021	—	`conf`	Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment. Bildverarbeitung für die Medizin Frauke Wilm, Christof A. Bertram, Christian Marzahl, Alexander Bartel, Taryn A. Donovan, Charles-Antoine Assenmacher, Kathrin Becker, Mark Bennett, Sarah Corner, Brieuc Cossic, Daniela Denk, Martina Dettwiler, Beatriz Garcia Gonzalez, Corinne Gurtner, Annabelle Heier, Annika Lehmbecker, Sophie Merz, Stephanie Plog, Anja Schmidt, Franziska Sebastian, Rebecca C. Smedley, Marco Tecilla, Tuddow Thaiwong, Katharina Breininger, Matti Kiupel, Andreas Maier, Robert Klopfleisch, Marc Aubreville
2021	J	`jnl`	Inter-Species Cell Detection: Datasets on pulmonary hemosiderophages in equine, human and feline specimens. CoRR Christian Marzahl, Jenny Hill, Jason Stayt, Dorothee Bienzle, Lutz Welker, Frauke Wilm, Jörn Voigt, Marc Aubreville, Andreas K. Maier, Robert Klopfleisch, Katharina Breininger, Christof A. Bertram
2021	—	`conf`	Iterative Cross-Scanner Registration for Whole Slide Images. ICCVW Luisa Theelke, Frauke Wilm, Christian Marzahl, Christof A. Bertram, Robert Klopfleisch, Andreas Maier, Marc Aubreville, Katharina Breininger
2021	J	`jnl`	Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images. CoRR Christian Marzahl, Christof A. Bertram, Frauke Wilm, Jörn Voigt, Ann K. Barton, Robert Klopfleisch, Katharina Breininger, Andreas Maier, Marc Aubreville
2021	—	`—`	Machine Learning and Deformation Modeling for Workflow-Compliant Image Fusion during Endovascular Aortic Repair (Maschinelles Lernen und Deformationsmodellierung zur Workflow-kompatiblen Bildfusion für endovaskuläre Aortenreparaturen) Katharina Breininger
2021	J	`jnl`	Quantifying the Scanner-Induced Domain Gap in Mitosis Detection. CoRR Marc Aubreville, Christof Bertram, Mitko Veta, Robert Klopfleisch, Nikolas Stathonikos, Katharina Breininger, Natalie D. ter Hoeve, Francesco Ciompi, Andreas Maier
2021	—	`conf`	Robust Quad-Tree based Registration on Whole Slide Images. COMPAY@MICCAI Christian Marzahl, Frauke Wilm, Franz F. Dressler, Lars Tharun, Sven Perner, Christof A. Bertram, Christine Kröger, Jörn Voigt, Robert Klopfleisch, Andreas K. Maier, Marc Aubreville, Katharina Breininger
2020	—	`conf`	Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics. Bildverarbeitung für die Medizin Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier
2020	—	`conf`	Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks. Bildverarbeitung für die Medizin Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
2020	—	`conf`	Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval. Bildverarbeitung für die Medizin Azeem Bootwala, Katharina Breininger, Andreas K. Maier, Vincent Christlein
2020	—	`conf`	Automatic CAD-RADS Scoring Using Deep Learning. MICCAI (6) Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier
2020	J	`jnl`	Automatic CAD-RADS Scoring Using Deep Learning. CoRR Felix Denzinger, Michael Wels, Katharina Breininger, Mehmet A. Gülsün, Max Schöbinger, Florian André, Sebastian Buß, Johannes Görich, Michael Sühling, Andreas K. Maier
2020	—	`ch.`	Bildanalyse. Handbuch der Künstlichen Intelligenz Andreas Maier, Vincent Christlein, Katharina Breininger, Tobias Würfl, Mathias Unberath, Christian Riess
2020	—	`conf`	Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. Bildverarbeitung für die Medizin Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier
2020	—	`conf`	Degenerating U-Net on Retinal Vessel Segmentation. Bildverarbeitung für die Medizin Weilin Fu, Katharina Breininger, Zhaoya Pan, Andreas K. Maier
2020	J	`jnl`	How Many Annotators Do We Need? - A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment. CoRR Frauke Wilm, Christof A. Bertram, Christian Marzahl, Alexander Bartel, Taryn A. Donovan, Charles-Antoine Assenmacher, Kathrin Becker, Mark Bennett, Sarah Corner, Brieuc Cossic, Daniela Denk, Martina Dettwiler, Beatriz Garcia Gonzalez, Corinne Gurtner, Annika Lehmbecker, Sophie Merz, Stephanie Plog, Anja Schmidt, Rebecca C. Smedley, Marco Tecilla, Tuddow Thaiwong, Katharina Breininger, Matti Kiupel, Andreas Maier, Robert Klopfleisch, Marc Aubreville
2020	—	`conf`	Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair. MICCAI (4) Katharina Breininger, Marcus Pfister, Markus Kowarschik, Andreas K. Maier
2019	—	`conf`	3D-Reconstruction of Stiff Wires from a Single Monoplane X-Ray Image. Bildverarbeitung für die Medizin Katharina Breininger, Moritz Hanika, Mareike Weule, Markus Kowarschik, Marcus Pfister, Andreas K. Maier
2019	—	`conf`	A Divide-and-Conquer Approach Towards Understanding Deep Networks. MICCAI (1) Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
2019	J	`jnl`	A Divide-and-Conquer Approach towards Understanding Deep Networks. CoRR Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
2019	—	`conf`	Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle Tomography. Bildverarbeitung für die Medizin Yixing Huang, Tobias Würfl, Katharina Breininger, Ling Liu, Günter Lauritsch, Andreas K. Maier
2019	—	`conf`	Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics. MICCAI (4) Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier
2019	J	`jnl`	Coronary Artery Plaque Characterization from CCTA Scans using Deep Learning and Radiomics. CoRR Felix Denzinger, Michael Wels, Nishant Ravikumar, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas Maier
2019	J	`jnl`	Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. CoRR Felix Denzinger, Michael Wels, Katharina Breininger, Anika Reidelshöfer, Joachim Eckert, Michael Sühling, Axel Schmermund, Andreas K. Maier
2019	B	`conf`	Left ventricle segmentation in LGE-MRI using multiclass learning. Image Processing Tanja Kurzendorfer, Katharina Breininger, Stefan Steidl, Andreas K. Maier, Rebecca Fahrig
2019	—	`ed.`	Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting - First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings MLMECH/CVII-STENT@MICCAI Hongen Liao, Simone Balocco, Guijin Wang, Feng Zhang, Yongpan Liu, Zijian Ding, Luc Duong, Renzo Phellan, Guillaume Zahnd, Katharina Breininger, Shadi Albarqouni, Stefano Moriconi, Su-Lin Lee, Stefanie Demirci
2019	B	`conf`	Projection image-to-image translation in hybrid x-ray/MR imaging. Image Processing Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Jonathan M. Lommen, Arnd Dörfler, Andreas K. Maier
2019	J	`jnl`	Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging. CoRR Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Philip Hoelter, Arnd Dörfler, Andreas K. Maier
2019	J	`jnl`	Simultaneous reconstruction of multiple stiff wires from a single X-ray projection for endovascular aortic repair. Int. J. Comput. Assist. Radiol. Surg. Katharina Breininger, Moritz Hanika, Mareike Weule, Markus Kowarschik, Marcus Pfister, Andreas Maier
2019	J	`jnl`	What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation. CoRR Weilin Fu, Katharina Breininger, Zhaoya Pan, Andreas K. Maier
2019	—	`conf`	Workflow Phase Detection in Fluoroscopic Images Using Convolutional Neural Networks. Bildverarbeitung für die Medizin Nikolaus Arbogast, Tanja Kurzendorfer, Katharina Breininger, Peter Mountney, Daniel Toth, Srinivas Ananth Narayan, Andreas K. Maier
2018	—	`conf`	Abstract: Efficient Epipolar Consistency. Bildverarbeitung für die Medizin André Aichert, Katharina Breininger, Thomas Köhler, Andreas K. Maier
2018	—	`conf`	Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model. GCPR Tobias Geimer, Paul J. Keall, Katharina Breininger, Vincent Caillet, Michelle Dunbar, Christoph Bert, Andreas Maier
2018	J	`jnl`	Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model. CoRR Tobias Geimer, Paul J. Keall, Katharina Breininger, Vincent Caillet, Michelle Dunbar, Christoph Bert, Andreas K. Maier
2018	J	`jnl`	Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems. IEEE Trans. Medical Imaging Tobias Würfl, Mathis Hoffmann, Vincent Christlein, Katharina Breininger, Yixing Huang, Mathias Unberath, Andreas K. Maier
2018	—	`conf`	Deep Learning Fundamentals. Bildverarbeitung für die Medizin Katharina Breininger, Vincent Christlein, Tobias Würfl, Andreas K. Maier
2018	—	`conf`	Frangi-Net. Bildverarbeitung für die Medizin Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Tobias Würfl, Jim Fujimoto, Eric Moult, Andreas K. Maier
2018	J	`jnl`	Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair. Int. J. Comput. Assist. Radiol. Surg. Katharina Breininger, Shadi Albarqouni, Tanja Kurzendorfer, Marcus Pfister, Markus Kowarschik, Andreas K. Maier
2018	B	`conf`	Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests. ICIP Aline Sindel, Katharina Breininger, Johannes Käßer, Andreas Hess, Andreas K. Maier, Thomas Köhler
2018	J	`jnl`	Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests. CoRR Aline Sindel, Katharina Breininger, Johannes Käßer, Andreas Hess, Andreas K. Maier, Thomas Köhler
2018	—	`conf`	Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning. CVII-STENT/LABELS@MICCAI Katharina Breininger, Tobias Würfl, Tanja Kurzendorfer, Shadi Albarqouni, Marcus Pfister, Markus Kowarschik, Nassir Navab, Andreas K. Maier
2018	B	`conf`	Myocardial Scar Segmentation in LGE-MRI using Fractal Analysis and Random Forest Classification. ICPR Tanja Kurzendorfer, Katharina Breininger, Stefan Steidl, Alexander Brost, Christoph Forman, Andreas K. Maier
2018	J	`jnl`	Projection image-to-image translation in hybrid X-ray/MR imaging. CoRR Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Katrin Mentl, Jonathan Lommen, Arnd Dörfler, Andreas K. Maier
2018	—	`conf`	Some Investigations on Robustness of Deep Learning in Limited Angle Tomography. MICCAI (1) Yixing Huang, Tobias Würfl, Katharina Breininger, Ling Liu, Günter Lauritsch, Andreas K. Maier
2017	J	`jnl`	A Deep Learning Approach for Reconstruction Filter Kernel Discretization. CoRR Christopher Syben, Bernhard Stimpel, Katharina Breininger, Tobias Würfl, Rebecca Fahrig, Arnd Dörfler, Andreas K. Maier
2017	J	`jnl`	Frangi-Net: A Neural Network Approach to Vessel Segmentation. CoRR Weilin Fu, Katharina Breininger, Tobias Würfl, Nishant Ravikumar, Roman Schaffert, Andreas K. Maier
2014	—	`conf`	Alae Tracker. Bildverarbeitung für die Medizin Katharina Breininger, Andreas K. Maier, Christoph Forman, Wilhelm Flatz, Catalina Meßmer, Maria Schuster