Field of Interest Prediction for Computer-Aided Mitotic Count. - Marc Aubreville; Christof A. Bertram; Christian Marzahl; Corinne Gurtner; Martina Dettwiler; Anja Schmidt; Florian Bartenschlager; Sophie Merz; Marco Fragoso; Olivia Kershaw; Robert Klopfleisch; Andreas Maier 001 (CoRR, 2019)

Are Fast Labeling Methods Reliable? A Case Study of Computer-Aided Expert Annotations on Microscopy Slides. - Christian Marzahl; Christof A. Bertram; Marc Aubreville; Anne Petrick; Kristina Weiler; Agnes C. Gläsel; Marco Fragoso; Sophie Merz; Florian Bartenschlager; Judith Hoppe; Alina Langenhagen; Anne-Katherine Jasensky; et al. (MICCAI (1), 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: Deep Learning Algorithms Out-perform Veterinary Pathologists in Detecting the Mitotically Most Active Tumor Region. - Marc Aubreville; Christof A. Bertram; Christian Marzahl; Corinne Gurtner; Martina Dettwiler; Anja Schmidt; Florian Bartenschlager; Sophie Merz; Marco Fragoso; Olivia Kershaw; Robert Klopfleisch; Andreas Maier 001 (Bildverarbeitung für die Medizin, 2021)

Abstract: Are Fast Labeling Methods Reliable? - A Case Study of Computer-aided Expert Annotations on Microscopy Slides. - Christian Marzahl; Christof A. Bertram; Marc Aubreville; Anne Petrick; Kristina Weiler; Agnes C. Gläsel; Marco Fragoso; Sophie Merz; Florian Bartenschlager; Judith Hoppe; Alina Langenhagen; Anne-Katherine Jasensky; et al. (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)

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)

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)

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)