Dogs as Model for Human Breast Cancer: A Completely Annotated Whole Slide Image Dataset. - Marc Aubreville; Christof A. Bertram; Taryn A. Donovan; Christian Marzahl; Andreas Maier 001; Robert Klopfleisch (CoRR, 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)

Abstract: A Completely Annotated Whole Slide Image Dataset of Canine Breast Cancer to Aid Human Breast Cancer Research. - Marc Aubreville; Christof A. Bertram; Taryn A. Donovan; Christian Marzahl; Andreas Maier 001; Robert Klopfleisch (Bildverarbeitung für die Medizin, 2021)

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)

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)

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)

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)

Nuclear Morphometry using a Deep Learning-based Algorithm has Prognostic Relevance for Canine Cutaneous Mast Cell Tumors. - Andreas Haghofer; Eda Parlak; Alexander Bartel; Taryn A. Donovan; Charles-Antoine Assenmacher; Pompei Bolfa; Michael J. Dark; Andrea Fuchs-Baumgartinger; Andrea Klang; Kathrin Jäger; Robert Klopfleisch; Sophie Merz; et al. (CoRR, 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)

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)

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)

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)

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: 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: Nuclear Pleomorphism in Canine Cutaneous Mast Cell Tumors. - Andreas Haghofer; Eda Parlak; Alexander Bartel; Taryn A. Donovan; Charles-Antoine Assenmacher; Pompei Bolfa; Michael J. Dark; Andrea Fuchs-Baumgartinger; Andrea Klang; Kathrin Jäger; Robert Klopfleisch; Sophie Merz; et al. (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)

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)