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)

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)

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)

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)

Fast whole-slide cartography in colon cancer histology using superpixels and CNN classification. - Frauke Wilm; Michaela Benz; Volker Bruns; Serop Baghdadlian; Jakob Dexl; David Hartmann; Petr Kuritcyn; Martin Weidenfeller; Thomas Wittenberg; Susanne Merkel; Arndt Hartmann; Markus Eckstein; et al. (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)

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

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)

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)

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)

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)

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)

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)

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: 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)

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)

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)

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)

A COCO-Formatted Instance-Level Dataset for Plasmodium Falciparum Detection in Giemsa-Stained Blood Smears. - Frauke Wilm; Luis Carlos Rivera Monroy; Mathias Öttl; Lukas Mürdter; Leonid Mill; Andreas K. Maier (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)