Alae Tracker. - Katharina Breininger; Andreas K. Maier; Christoph Forman; Wilhelm Flatz; Catalina Meßmer; Maria Schuster (Bildverarbeitung für die Medizin, 2014)

A Deep Learning Approach for Reconstruction Filter Kernel Discretization. - Christopher Syben; Bernhard Stimpel; Katharina Breininger; Tobias Würfl; Rebecca Fahrig; Arnd Dörfler; Andreas K. Maier (CoRR, 2017)

Frangi-Net: A Neural Network Approach to Vessel Segmentation. - Weilin Fu; Katharina Breininger; Tobias Würfl; Nishant Ravikumar; Roman Schaffert; Andreas K. Maier (CoRR, 2017)

Abstract: Efficient Epipolar Consistency. - André Aichert; Katharina Breininger; Thomas Köhler 004; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Deep Learning Fundamentals. - Katharina Breininger; Vincent Christlein; Tobias Würfl; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Frangi-Net. - Weilin Fu; Katharina Breininger; Roman Schaffert; Nishant Ravikumar; Tobias Würfl; Jim Fujimoto; Eric Moult; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model. - Tobias Geimer; Paul J. Keall; Katharina Breininger; Vincent Caillet; Michelle Dunbar; Christoph Bert; Andreas Maier 001 (GCPR, 2018)

Learning from a Handful Volumes: MRI Resolution Enhancement with Volumetric Super-Resolution Forests. - Aline Sindel; Katharina Breininger; Johannes Käßer; Andreas Hess 001; Andreas K. Maier; Thomas Köhler 004 (ICIP, 2018)

Myocardial Scar Segmentation in LGE-MRI using Fractal Analysis and Random Forest Classification. - Tanja Kurzendorfer; Katharina Breininger; Stefan Steidl; Alexander Brost; Christoph Forman; Andreas K. Maier (ICPR, 2018)

Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning. - Katharina Breininger; Tobias Würfl; Tanja Kurzendorfer; Shadi Albarqouni; Marcus Pfister; Markus Kowarschik; Nassir Navab; Andreas K. Maier (CVII-STENT/LABELS@MICCAI, 2018)

Some Investigations on Robustness of Deep Learning in Limited Angle Tomography. - Yixing Huang; Tobias Würfl; Katharina Breininger; Ling Liu; Günter Lauritsch; Andreas K. Maier (MICCAI (1), 2018)

Intraoperative stent segmentation in X-ray fluoroscopy for endovascular aortic repair. - Katharina Breininger; Shadi Albarqouni; Tanja Kurzendorfer; Marcus Pfister; Markus Kowarschik; Andreas K. Maier (Int. J. Comput. Assist. Radiol. Surg., 2018)

Projection image-to-image translation in hybrid X-ray/MR imaging. - Bernhard Stimpel; Christopher Syben; Tobias Würfl; Katharina Breininger; Katrin Mentl; Jonathan Lommen; Arnd Dörfler; Andreas K. Maier (CoRR, 2018)

Deep Learning Computed Tomography: Learning Projection-Domain Weights From Image Domain in Limited Angle Problems. - Tobias Würfl; Mathis Hoffmann; Vincent Christlein; Katharina Breininger; Yixing Huang; Mathias Unberath; Andreas K. Maier (IEEE Trans. Medical Imaging, 2018)

Workflow Phase Detection in Fluoroscopic Images Using Convolutional Neural Networks. - Nikolaus Arbogast; Tanja Kurzendorfer; Katharina Breininger; Peter Mountney; Daniel Toth 001; Srinivas Ananth Narayan; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

3D-Reconstruction of Stiff Wires from a Single Monoplane X-Ray Image. - Katharina Breininger; Moritz Hanika; Mareike Weule; Markus Kowarschik; Marcus Pfister; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle Tomography. - Yixing Huang; Tobias Würfl; Katharina Breininger; Ling Liu; Günter Lauritsch; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

Coronary Artery Plaque Characterization from CCTA Scans Using Deep Learning and Radiomics. - Felix Denzinger; Michael Wels; Nishant Ravikumar; Katharina Breininger; Anika Reidelshöfer; Joachim Eckert; Michael Sühling; Axel Schmermund; Andreas Maier 001 (MICCAI (4), 2019)

A Divide-and-Conquer Approach Towards Understanding Deep Networks. - Weilin Fu; Katharina Breininger; Roman Schaffert; Nishant Ravikumar; Andreas K. Maier (MICCAI (1), 2019)

Left ventricle segmentation in LGE-MRI using multiclass learning. - Tanja Kurzendorfer; Katharina Breininger; Stefan Steidl; Andreas K. Maier; Rebecca Fahrig (Image Processing, 2019)

Projection image-to-image translation in hybrid x-ray/MR imaging. - Bernhard Stimpel; Christopher Syben; Tobias Würfl; Katharina Breininger; Jonathan M. Lommen; Arnd Dörfler; Andreas K. Maier (Image Processing, 2019)

Simultaneous reconstruction of multiple stiff wires from a single X-ray projection for endovascular aortic repair. - Katharina Breininger; Moritz Hanika; Mareike Weule; Markus Kowarschik; Marcus Pfister; Andreas Maier 001 (Int. J. Comput. Assist. Radiol. Surg., 2019)

What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation. - Weilin Fu; Katharina Breininger; Zhaoya Pan; Andreas K. Maier (CoRR, 2019)

Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging. - Bernhard Stimpel; Christopher Syben; Tobias Würfl; Katharina Breininger; Philip Hoelter; Arnd Dörfler; Andreas K. Maier (CoRR, 2019)

Bildanalyse. - Andreas Maier 001; Vincent Christlein; Katharina Breininger; Tobias Würfl; Mathias Unberath; Christian Riess (Handbuch der Künstlichen Intelligenz, 2020)

Assistive Diagnosis in Opthalmology Using Deep Learning-Based Image Retrieval. - Azeem Bootwala; Katharina Breininger; Andreas K. Maier; Vincent Christlein (Bildverarbeitung für die Medizin, 2020)

Deep Learning Algorithms for Coronary Artery Plaque Characterisation from CCTA Scans. - Felix Denzinger; Michael Wels; Katharina Breininger; Anika Reidelshöfer; Joachim Eckert; Michael Sühling; Axel Schmermund; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Abstract: Coronary Artery Plaque Characterization from CCTA Scans Using DL and Radiomics. - Felix Denzinger; Michael Wels; Katharina Breininger; Anika Reidelshöfer; Joachim Eckert; Michael Sühling; Axel Schmermund; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Degenerating U-Net on Retinal Vessel Segmentation. - Weilin Fu; Katharina Breininger; Zhaoya Pan; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks. - Weilin Fu; Katharina Breininger; Roman Schaffert; Nishant Ravikumar; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Move Over There: One-Click Deformation Correction for Image Fusion During Endovascular Aortic Repair. - Katharina Breininger; Marcus Pfister; Markus Kowarschik; Andreas K. Maier (MICCAI (4), 2020)

Automatic CAD-RADS Scoring Using Deep Learning. - Felix Denzinger; Michael Wels; Katharina Breininger; Mehmet A. Gülsün; Max Schöbinger; Florian André; Sebastian Buß 001; Johannes Görich; Michael Sühling; Andreas K. Maier (MICCAI (6), 2020)

How Many Annotators Do We Need? - A Study on the Influence of Inter-Observer Variability on the Reliability of Automatic Mitotic Figure Assessment. - 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; et al. (CoRR, 2020)

Dataset on Bi- and Multi-nucleated Tumor Cells in Canine Cutaneous Mast Cell Tumors. - Christof A. Bertram; Taryn A. Donovan; Marco Tecilla; Florian Bartenschlager; Marco Fragoso; Frauke Wilm; Christian Marzahl; Katharina Breininger; Andreas Maier 001; Robert Klopfleisch; Marc Aubreville (Bildverarbeitung für die Medizin, 2021)

Abstract: Move Over There One-click Deformation Correction for Image Fusion during Endovascular Aortic Repair. - Katharina Breininger; Marcus Pfister; Markus Kowarschik; Andreas Maier 001 (Bildverarbeitung für die Medizin, 2021)

Abstract: Automatic CAD-RADS Scoring using Deep Learning. - Felix Denzinger; Michael Wels; Katharina Breininger; Mehmet A. Gülsün; Max Schöbinger; Florian André; Sebastian Buß 001; Johannes Görich; Michael Sühling; Andreas Maier 001 (Bildverarbeitung für die Medizin, 2021)

Cell Detection for Asthma on Partially Annotated Whole Slide Images - Learning to be EXACT. - Christian Marzahl; Christof A. Bertram; Frauke Wilm; Jörn Voigt; Ann K. Barton; Robert Klopfleisch; Katharina Breininger; Andreas Maier 001; Marc Aubreville (Bildverarbeitung für die Medizin, 2021)

Influence of Inter-Annotator Variability on Automatic Mitotic Figure Assessment. - 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; et al. (Bildverarbeitung für die Medizin, 2021)

Automatic and explainable grading of meningiomas from histopathology images. - Jonathan Ganz; Tobias Kirsch; Lucas Hoffmann; Christof A. Bertram; Christoph Hoffmann; Andreas K. Maier; Katharina Breininger; Ingmar Blümcke; Samir Jabari; Marc Aubreville (COMPAY@MICCAI, 2021)

Robust Quad-Tree based Registration on Whole Slide Images. - 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 (COMPAY@MICCAI, 2021)

Iterative Cross-Scanner Registration for Whole Slide Images. - Luisa Theelke; Frauke Wilm; Christian Marzahl; Christof A. Bertram; Robert Klopfleisch; Andreas Maier 001; Marc Aubreville; Katharina Breininger (ICCVW, 2021)

Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization Challenge. - Frauke Wilm; Christian Marzahl; Katharina Breininger; Marc Aubreville (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

"Keep it simple, scholar": an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging. - Weilin Fu; Katharina Breininger; Roman Schaffert; Zhaoya Pan; Andreas K. Maier (Int. J. Comput. Assist. Radiol. Surg., 2021)

Learning to be EXACT, Cell Detection for Asthma on Partially Annotated Whole Slide Images. - Christian Marzahl; Christof A. Bertram; Frauke Wilm; Jörn Voigt; Ann K. Barton; Robert Klopfleisch; Katharina Breininger; Andreas Maier 001; Marc Aubreville (CoRR, 2021)

Quantifying the Scanner-Induced Domain Gap in Mitosis Detection. - Marc Aubreville; Christof Bertram; Mitko Veta; Robert Klopfleisch; Nikolas Stathonikos; Katharina Breininger; Natalie D. ter Hoeve; Francesco Ciompi; Andreas Maier 001 (CoRR, 2021)

Inter-Species Cell Detection: Datasets on pulmonary hemosiderophages in equine, human and feline specimens. - 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 (CoRR, 2021)

Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmain Generalization (MIDOG) Challenge. - Frauke Wilm; Katharina Breininger; Marc Aubreville (CoRR, 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)

TowardsWeakly Supervised Segmentation of Orthopaedic X-ray Images Using Constrained-CNN Losses. - Nikolaus Arbogast; Holger Kunze; Florian Kordon; Benedict Swartman; Jan Siad El Barbari; Katharina Breininger (Bildverarbeitung für die Medizin, 2022)

Form Follows Function - Smart Network Design Enables Zero-shot Network Reuse. - Weilin Fu; Lennart Husvogt; Katharina Breininger; Roman Schaffert; Omar Abu-Qamar; James G. Fujimoto; Andreas K. Maier (Bildverarbeitung für die Medizin, 2022)

First Steps on Gamification of Lung Fluid Cells Annotations in the Flower Domain. - Sonja Kunzmann; Christian Marzahl; Felix Denzinger; Christof Bertram; Robert Klopfleisch; Katharina Breininger; Vincent Christlein; Andreas K. Maier (Bildverarbeitung für die Medizin, 2022)

Superpixel Pre-segmentation of HER2 Slides for Efficient Annotation. - 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 (Bildverarbeitung für die Medizin, 2022)

Thrombus Detection in Non-contrast Head CT Using Graph Deep Learning. - Antonia Popp; Oliver Taubmann; Florian Thamm; Hendrik Ditt; Andreas K. Maier; Katharina Breininger (Bildverarbeitung für die Medizin, 2022)

Automatic Classification of Neuromuscular Diseases in Children Using Photoacoustic Imaging. - Maja Schlereth; Daniel Stromer; Katharina Breininger; Alexandra Wagner; Lina Tan; Andreas K. Maier; Ferdinand Knieling (Bildverarbeitung für die Medizin, 2022)

Initial Investigations Towards Non-invasive Monitoring of Chronic Wound Healing Using Deep Learning and Ultrasound Imaging. - Maja Schlereth; Daniel Stromer; Yash Mantri; Jason Tsujimoto; Katharina Breininger; Andreas K. Maier; Caesar Anderson; Pranav S. Garimella; Jesse V. Jokerst (Bildverarbeitung für die Medizin, 2022)

Improving Deep Learning-based Cardiac Abnormality Detection in 12-Lead ECG with Data Augmentation. - Jingna Qiu; Maximilian P. Oppelt; Michael Nissen; Lars Anneken; Katharina Breininger; Bjoern M. Eskofier (EMBC, 2022)

Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge. - Jonas Ammeling; Frauke Wilm; Jonathan Ganz; Katharina Breininger; Marc Aubreville (MIDOG/DRAC@MICCAI, 2022)

A Spatiotemporal Model for Precise and Efficient Fully-Automatic 3D Motion Correction in OCT. - Stefan B. Ploner; Siyu Chen; Jungeun Won; Lennart Husvogt; Katharina Breininger; Julia Schottenhamml; James G. Fujimoto; Andreas Maier 001 (MICCAI (2), 2022)

Direct and indirect image rotation estimation methods of orthopedic x-ray images. - Holger Kunze; Florian Kordon; Andreas Maier 001; Katharina Breininger (Image Processing, 2022)

PoCaP Corpus: A Multimodal Dataset for Smart Operating Room Speech Assistant Using Interventional Radiology Workflow Analysis. - Kubilay Can Demir; Matthias S. May; Axel Schmid; Michael Uder; Katharina Breininger; Tobias Weise; Andreas K. Maier; Seung Hee Yang (TSD, 2022)

Pan-Tumor CAnine cuTaneous Cancer Histology (CATCH) Dataset. - Frauke Wilm; Marco Fragoso; Christian Marzahl; Jingna Qiu; Christof A. Bertram; Robert Klopfleisch; Andreas K. Maier; Katharina Breininger; Marc Aubreville (CoRR, 2022)

CAD-RADS Scoring using Deep Learning and Task-Specific Centerline Labeling. - 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 (CoRR, 2022)

Mitosis domain generalization in histopathology images - The MIDOG challenge. - 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; et al. (CoRR, 2022)

Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks. - 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 (CoRR, 2022)

Attention-based Multiple Instance Learning for Survival Prediction on Lung Cancer Tissue Microarrays. - Jonas Ammeling; Lars-Henning Schmidt; Jonathan Ganz; Tanja Niedermair; Christoph Brochhausen-Delius; Christian Schulz 015; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2023)

Deep Learning-based Subtyping of Atypical and Normal Mitoses using a Hierarchical Anchor-free Object Detector. - Marc Aubreville; Jonathan Ganz; Jonas Ammeling; Taryn A. Donovan; Rutger H. J. Fick; Katharina Breininger; Christof A. Bertram (Bildverarbeitung für die Medizin, 2023)

Abstract: the MIDOG Challenge 2021 - Mitosis Domain Generalization in Histopathology Images. - 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 (Bildverarbeitung für die Medizin, 2023)

Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images. - 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; et al. (Bildverarbeitung für die Medizin, 2023)

Abstract: A Spatiotemporal Model for Precise and Efficient Fully-automatic 3D Motion Correction in OCT. - Stefan B. Ploner; Siyu Chen; Jungeun Won; Lennart Husvogt; Katharina Breininger; Julia Schottenhamml; James G. Fujimoto; Andreas K. Maier (Bildverarbeitung für die Medizin, 2023)

McLabel - A Local Thresholding Tool for Efficient Semi-automatic Labelling of Cells in Fluorescence Microscopy. - Jonas Utz; Maja Schlereth; Jingna Qiu; Mareike Thies; Fabian Wagner; Oumaima B. Brahim; Mingxuan Gu; Stefan Uderhardt; Katharina Breininger (Bildverarbeitung für die Medizin, 2023)

Multi-scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. - Frauke Wilm; Marco Fragoso; Christof A. Bertram; Nikolas Stathonikos; Mathias Öttl; Jingna Qiu; Robert Klopfleisch; Andreas K. Maier; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2023)

Abstract: Pan-tumor CAnine CuTaneous Cancer Histology (CATCH) Dataset. - Frauke Wilm; Marco Fragoso; Christian Marzahl; Jingna Qiu; Chloé Puget; Laura Diehl; Christof A. Bertram; Robert Klopfleisch; Andreas K. Maier; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2023)

Focus on Content not Noise: Improving Image Generation for Nuclei Segmentation by Suppressing Steganography in CycleGAN. - Jonas Utz; Tobias Weise; Maja Schlereth; Fabian Wagner; Mareike Thies; Mingxuan Gu; Stefan Uderhardt; Katharina Breininger (ICCV (Workshops), 2023)

Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography. - Felix Denzinger; Michael Wels; Oliver Taubmann; Florian Kordon; Fabian Wagner; Stephanie Mehltretter; Mehmet A. Gülsün; Max Schöbinger; Florian André; Sebastian Buß 001; Johannes Görich; Michael Sühling; et al. (ISBI, 2023)

Employing Graph Representations for Cell-Level Characterization of Melanoma MELC Samples. - Luis Carlos Rivera Monroy; Leonhard Rist; Martin Eberhardt; Christian Ostalecki; Andreas Baur; Julio Vera; Katharina Breininger; Andreas Maier 001 (ISBI, 2023)

Improved HER2 Tumor Segmentation with Subtype Balancing Using Deep Generative Networks. - Mathias Öttl; Jana Steenpass; Matthias Rübner; Carol I. Geppert; Jingna Qiu; Frauke Wilm; Arndt Hartmann; Matthias W. Beckmann; Peter A. Fasching; Andreas Maier 001; Ramona Erber; Katharina Breininger (ISBI, 2023)

Mind the Gap: Scanner-Induced Domain Shifts Pose Challenges for Representation Learning in Histopathology. - Frauke Wilm; Marco Fragoso; Christof A. Bertram; Nikolas Stathonikos; Mathias Öttl; Jingna Qiu; Robert Klopfleisch; Andreas Maier 001; Marc Aubreville; Katharina Breininger (ISBI, 2023)

Appealing but Potentially Biasing - Investigation of the Visual Representation of Segmentation Predictions by AI Recommender Systems for Medical Decision Making. - 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 (MuC, 2023)

Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. - Jingna Qiu; Frauke Wilm; Mathias Öttl; Maja Schlereth; Chang Liu; Tobias Heimann; Marc Aubreville; Katharina Breininger (MICCAI (2), 2023)

Whole Slide Multiple Instance Learning for Predicting Axillary Lymph Node Metastasis. - Glejdis Shkëmbi; Johanna P. Müller; Zhe Li 025; Katharina Breininger; Peter J. Schüffler; Bernhard Kainz (DEMI@MICCAI, 2023)

Lung, nodule, and airway segmentation using partially annotated data. - Anne von Querfurth; Florian Kordon; Felix Denzinger; Katharina Breininger; Holger Kunze (Image-Guided Procedures, 2023)

Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard. - Jonas Ammeling; Moritz Hecker; Jonathan Ganz; Taryn A. Donovan; Christof A. Bertram; Katharina Breininger; Marc Aubreville (CoRR, 2023)

Mitosis domain generalization in histopathology images - The MIDOG challenge. - 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; et al. (Medical Image Anal., 2023)

Multi-Scanner Canine Cutaneous Squamous Cell Carcinoma Histopathology Dataset. - Frauke Wilm; Marco Fragoso; Christof A. Bertram; Nikolas Stathonikos; Robert Klopfleisch; Andreas Maier 001; Katharina Breininger; Marc Aubreville (Zenodo, 2023)

Pan-Tumor T-Lymphocyte Detection Dataset. - Frauke Wilm; Christian Ihling; Gabor Mehes; Luigi Terracciano; Chloé Puget; Robert Klopfleisch; Peter J. Schüffler; Marc Aubreville; Andreas Maier 001; Thomas Mrowiec; Katharina Breininger (Zenodo, 2023)

Towards image-based laryngeal videostroboscopy using deep learning-enabled compressed sensing. - Anna-Maria Wölfl; Anne Schützenberger; Katharina Breininger; Andreas M. Kist (Biomed. Signal Process. Control., 2023)

Automated Mitotic Index Calculation via Deep Learning and Immunohistochemistry. - Jonas Ammeling; Moritz Hecker; Jonathan Ganz; Taryn A. Donovan; Robert Klopfleisch; Christof A. Bertram; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2024)

Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors. - Marc Aubreville; Zhaoya Pan; Matti Sievert; Jonas Ammeling; Jonathan Ganz; Nicolai Oetter; Florian Stelzle; Ann-Kathrin Frenken; Katharina Breininger; Miguel Goncalves (Bildverarbeitung für die Medizin, 2024)

Abstract: Comprehensive Multi-domain Dataset for Mitotic Figure Detection. - 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 (Bildverarbeitung für die Medizin, 2024)

Abstract: Cytologic Scoring of Equine Exercise-induced Pulmonary Hemorrhage - Performance of Human Experts and a Deep Learning. - 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; et al. (Bildverarbeitung für die Medizin, 2024)

Abstract: Handling Label Uncertainty on the Example of Automatic Detection of Shepherd's Crook RCA in Coronary CT Angiography. - Felix Denzinger; Michael Wels; Oliver Taubmann; Florian Kordon; Fabian Wagner; Stephanie Mehltretter; Mehmet A. Gülsün; Max Schöbinger; Florian André; Sebastian Buß 001; Johannes Görich; Michael Sühling; et al. (Bildverarbeitung für die Medizin, 2024)

Assessment of Scanner Domain Shifts in Deep Multiple Instance Learning. - Jonathan Ganz; Chloé Puget; Jonas Ammeling; Eda Parlak; Matti Kiupel; Christof A. Bertram; Katharina Breininger; Robert Klopfleisch; Marc Aubreville (Bildverarbeitung für die Medizin, 2024)

Comparative Analysis of Radiomic Features and Gene Expression Profiles in Histopathology Data using Graph Neural Networks. - Luis Carlos Rivera Monroy; Leonhard Rist; Martin Eberhardt; Christian Ostalecki; Andreas Bauer; Julio Vera; Katharina Breininger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)

Evaluation of Semi-automatic Segmentation of Liver Tumors for Intra-procedural Planning. - Dominik Pysch; Maja Schlereth; Mihai Pomohaci; Peter Fischer 001; Katharina Breininger (Bildverarbeitung für die Medizin, 2024)

Abstract: Adaptive Region Selection for Active Learning in Whole Slide Image Semantic Segmentation. - Jingna Qiu; Frauke Wilm; Mathias Öttl; Maja Schlereth; Chang Liu; Tobias Heimann; Marc Aubreville; Katharina Breininger (Bildverarbeitung für die Medizin, 2024)

Appearance-based Debiasing of Deep Learning Models in Medical Imaging. - Frauke Wilm; Marcel Reimann; Oliver Taubmann; Alexander Mühlberg; Katharina Breininger (Bildverarbeitung für die Medizin, 2024)

Style-Extracting Diffusion Models for Semi-supervised Histopathology Segmentation. - Mathias Öttl; Frauke Wilm; Jana Steenpass; Jingna Qiu; Matthias Rübner; Arndt Hartmann; Matthias W. Beckmann; Peter A. Fasching; Andreas Maier 001; Ramona Erber; Bernhard Kainz; Katharina Breininger (ECCV (75), 2024)

Leveraging Image Captions for Selective Whole Slide Image Annotation. - Jingna Qiu; Marc Aubreville; Frauke Wilm; Mathias Öttl; Jonas Utz; Maja Schlereth; Katharina Breininger (MICCAI (12), 2024)

Deep Learning model predicts the c-Kit-11 mutational status of canine cutaneous mast cell tumors by HE stained histological slides. - Chloé Puget; Jonathan Ganz; Julian Ostermaier; Thomas Konrad; Eda Parlak; Christof Albert Bertram; Matti Kiupel; Katharina Breininger; Marc Aubreville; Robert Klopfleisch (CoRR, 2024)

Rethinking U-net Skip Connections for Biomedical Image Segmentation. - Frauke Wilm; Jonas Ammeling; Mathias Öttl; Rutger H. J. Fick; Marc Aubreville; Katharina Breininger (CoRR, 2024)

Analysing Diffusion Segmentation for Medical Images. - 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 (CoRR, 2024)

Comprehensive Multimodal Deep Learning Survival Prediction Enabled by a Transformer Architecture: A Multicenter Study in Glioblastoma. - 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; et al. (CoRR, 2024)

On the Value of PHH3 for Mitotic Figure Detection on H&E-stained Images. - 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; et al. (CoRR, 2024)

Explainable AI Enhances Glaucoma Referrals, Yet the Human-AI Team Still Falls Short of the AI Alone. - Catalina Gomez; Ruolin Wang; Katharina Breininger; Corinne Casey; Chris Bradley; Mitchell Pavlak; Alex Pham; Jithin Yohannan; Mathias Unberath (CoRR, 2024)

Domain and Content Adaptive Convolutions for Cross-Domain Adenocarcinoma Segmentation. - Frauke Wilm; Mathias Öttl; Marc Aubreville; Katharina Breininger (CoRR, 2024)

Domain generalization across tumor types, laboratories, and species - Insights from the 2022 edition of the Mitosis Domain Generalization Challenge. - 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; et al. (Medical Image Anal., 2024)

Comprehensive Dataset of Coarse Tumor Annotations for The Cancer Genome Atlas Breast Invasive Carcinoma. - Sweta Banerjee; Christof A. Bertram; Jonas Ammeling; Viktoria Weiss; Thomas Conrad; Robert Klopfleisch; Christopher C. Kaltenecker; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)

Abstract: Re-identification from Histopathology Images. - Jonathan Ganz; Jonas Ammeling; Samir Jabari; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)

Is Self-supervision Enough? - Benchmarking Foundation Models Against End-to-end Training for Mitotic Figure Classification. - Jonathan Ganz; Jonas Ammeling; Emely Rosbach; Ludwig Lausser; Christof A. Bertram; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)

Abstract: Information Mismatch in PHH3-assisted Mitosis Annotation Leads to Interpretation Shifts in H&E Slide Analysis. - Jonathan Ganz; Christian Marzahl; Jonas Ammeling; Emely Rosbach; Taryn A. Donovan; Samir Jabari; Christof A. Bertram; Katharina Breininger; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)

Abstract: Multi-level Cancer Profiling through Joint Cell-graph Representations. - Luis Carlos Rivera Monroy; Leonhard Rist; Frauke Wilm; Christian Ostalecki; Andreas Baur; Julio Vera; Katharina Breininger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2025)

Abstract: Leveraging Image Captions for Selective Whole Slide Image Annotation. - Jingna Qiu; Marc Aubreville; Frauke Wilm; Mathias Öttl; Jonas Utz; Maja Schlereth; Katharina Breininger (Bildverarbeitung für die Medizin, 2025)

HASD: Hierarchical Adaption for Pathology Slide-Level Domain-Shift. - Jingsong Liu; Han Li; Chen Yang; Michael Deutges; Ario Sadafi; Xin You; Katharina Breininger; Nassir Navab; Peter J. Schüffler (MICCAI (6), 2025)

Faster, Self-supervised Super-Resolution for Anisotropic Multi-view MRI Using a Sparse Coordinate Loss. - Maja Schlereth; Moritz Schillinger; Katharina Breininger (MICCAI (3), 2025)

Learning-based autonomous navigation, benchmark environments and simulation framework for endovascular interventions. - 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 (Comput. Biol. Medicine, 2025)

Stochastic latent feature distillation: Enhancing dataset distillation via structured uncertainty modeling. - Zhe Li 025; Sarah Cechnicka; Cheng Ouyang; Katharina Breininger; Peter Schüffler; Bernhard Kainz (J. Vis. Commun. Image Represent., 2025)

Re-identification from histopathology images. - Jonathan Ganz; Jonas Ammeling; Samir Jabari; Katharina Breininger; Marc Aubreville (Medical Image Anal., 2025)

A Self-supervised Multimodal Deep Learning Approach to Differentiate Post-radiotherapy Progression from Pseudoprogression in Glioblastoma. - Ahmed Gomaa; Yixing Huang; Pluvio Stephan; Katharina Breininger; Benjamin Frey; Arnd Dörfler; Oliver Schnell; Daniel Delev; Roland Coras; Charlotte Schmitter; Jenny Stritzelberger; Sabine Semrau; et al. (CoRR, 2025)

DiffRenderGAN: Addressing Training Data Scarcity in Deep Segmentation Networks for Quantitative Nanomaterial Analysis through Differentiable Rendering and Generative Modelling. - Dennis Possart; Leonid Mill; Florian Vollnhals; Tor Hildebrand; Peter Suter; Mathis Hoffmann; Jonas Utz; Daniel Augsburger; Mareike Thies; Mingxuan Wu; Fabian Wagner; George Sarau; et al. (CoRR, 2025)

Graph neural networks in multi-stained pathological imaging: extended comparative analysis of Radiomic features. - Luis Carlos Rivera Monroy; Leonhard Rist; Christian Ostalecki; Andreas Bauer; Julio Vera; Katharina Breininger; Andreas K. Maier (Int. J. Comput. Assist. Radiol. Surg., 2025)

CyclePose - Leveraging Cycle-Consistency for Annotation-Free Nuclei Segmentation in Fluorescence Microscopy. - Jonas Utz; Stefan Vocht; Anne Tjorven Buessen; Dennis Possart; Fabian Wagner; Mareike Thies; Mingxuan Gu; Stefan Uderhardt; Katharina Breininger (CoRR, 2025)

Dataset Distillation with Probabilistic Latent Features. - Zhe Li 025; Sarah Cechnicka; Cheng Ouyang; Katharina Breininger; Peter J. Schüffler; Bernhard Kainz (CoRR, 2025)

Benchmarking Deep Learning and Vision Foundation Models for Atypical vs. Normal Mitosis Classification with Cross-Dataset Evaluation. - 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 (CoRR, 2025)

Benchmarking Foundation Models for Mitotic Figure Classification. - Jonas Ammeling; Jonathan Ganz; Emely Rosbach; Ludwig Lausser; Christof A. Bertram; Katharina Breininger; Marc Aubreville (CoRR, 2025)

Effortless Vision-Language Model Specialization in Histopathology without Annotation. - Jingna Qiu; Nishanth Jain; Jonas Ammeling; Marc Aubreville; Katharina Breininger (CoRR, 2025)

Investigation of Class Separability Within Object Detection Models in Histopathology. - Jonas Ammeling; Jonathan Ganz; Frauke Wilm; Katharina Breininger; Marc Aubreville (IEEE Trans. Medical Imaging, 2025)

Analyzing and adapting diffusion segmentation behavior for medical images. - 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 (Biomed. Signal Process. Control., 2026)