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

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)

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)

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)

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)

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)

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)

Model-based Cleaning of the QUILT-1M Pathology Dataset for Text-Conditional Image Synthesis. - Marc Aubreville; Jonathan Ganz; Jonas Ammeling; Christopher C. Kaltenecker; Christof A. Bertram (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)

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)

Histologic Dataset of Normal and Atypical Mitotic Figures on Human Breast Cancer (AMi-Br). - Christof A. Bertram; Viktoria Weiss; Taryn A. Donovan; Sweta Banerjee; Thomas Conrad; Jonas Ammeling; Robert Klopfleisch; Christopher C. Kaltenecker; 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)

Automation Bias in AI-assisted Medical Decision-making under Time Pressure in Computational Pathology. - Emely Rosbach; Jonathan Ganz; Jonas Ammeling; Andreas Riener; Marc Aubreville (Bildverarbeitung für die Medizin, 2025)

"When Two Wrongs Don't Make a Right" - Examining Confirmation Bias and the Role of Time Pressure During Human-AI Collaboration in Computational Pathology. - Emely Rosbach; Jonas Ammeling; Sebastian Krügel; Angelika Kießig; Alexis Fritz; Jonathan Ganz; Chloé Puget; Taryn A. Donovan; Andrea Klang; Maximilian C. Köller; Pompei Bolfa; Marco Tecilla; et al. (CHI, 2025)

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

Perceived responsibility in AI-supported medicine. - Sebastian Krügel; Jonas Ammeling; Marc Aubreville; Alexis Fritz; Angelika Kießig; Matthias Uhl (AI Soc., 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)

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)