Deep Learning-Based Quantification of Pulmonary Hemosiderophages in Cytology Slides. - Christian Marzahl; Marc Aubreville; Christof A. Bertram; Jason Stayt; Anne-Katherine Jasensky; Florian Bartenschlager; Marco Fragoso-Garcia; Ann K. Barton; Svenja Elsemann; Samir Jabari; Jens Krauth; Prathmesh Madhu; et al. (CoRR, 2019)

Learning New Tricks from Old Dogs - Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment. - Marc Aubreville; Christof A. Bertram; Samir Jabari; Christian Marzahl; Robert Klopfleisch; Andreas K. Maier (CoRR, 2019)

Inter-Species, Inter-Tissue Domain Adaptation for Mitotic Figure Assessment. - Marc Aubreville; Christof A. Bertram; Samir Jabari; Christian Marzahl; Robert Klopfleisch; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Abstract: Deep Learning-based Quantification of Pulmonary Hemosiderophages in Cytology Slides. - Christian Marzahl; Marc Aubreville; Christof A. Bertram; Jason Stayt; Anne-Katherine Jasensky; Florian Bartenschlager; Marco Fragoso; Ann K. Barton; Svenja Elsemann; Samir Jabari; Jens Krauth; Prathmesh Madhu; 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)

SYNTA: A novel approach for deep learning-based image analysis in muscle histopathology using photo-realistic synthetic data. - Leonid Mill; Oliver Aust; Jochen A. Ackermann; Philipp Burger; Monica Pascual; Katrin Palumbo-Zerr; Gerhard Krönke; Stefan Uderhardt; Georg Schett; Christoph S. Clemen; Rolf Schröder; Christian Holtzhausen; et al. (CoRR, 2022)

A deep learning-based histopathology classifier for Focal Cortical Dysplasia. - Jörg Vorndran; Christoph Neuner; Roland Coras; Lucas Hoffmann; Simon Geffers; Jonas Honke; Jochen Herms; Sigrun Roeber; Hajo Hamer; Sebastian Brandner; Till Hartlieb; Tom Pieper; et al. (Neural Comput. Appl., 2023)

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)

Abstract: Re-identification from Histopathology Images. - Jonathan Ganz; Jonas Ammeling; Samir Jabari; 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)

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