Rotation Invariance and Extensive Data Augmentation: A Strategy for the MItosis DOmain Generalization (MIDOG) Challenge. - Maxime W. Lafarge; Viktor H. Koelzer (MIDOG/MOOD/Learn2Reg@MICCAI, 2021)

Fine-Grained Hard-Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset. - Maxime W. Lafarge; Viktor H. Koelzer (MIDOG/DRAC@MICCAI, 2022)

Enhancing Local Context of Histology Features in Vision Transformers. - Ruby Wood; Korsuk Sirinukunwattana; Enric Domingo; Alexander Sauer; Maxime W. Lafarge; Viktor H. Koelzer; Timothy S. Maughan; Jens Rittscher (AIIIMA/MIABID@MICCAI, 2022)

Towards IID representation learning and its application on biomedical data. - Jiqing Wu; Inti Zlobec; Maxime W. Lafarge; Yukun He; Viktor H. Koelzer (MIDL, 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)

Automated causal inference in application to randomized controlled clinical trials. - Jiqing Wu; Nanda Horeweg; Marco de Bruyn; Remi A. Nout; Ina M. Jürgenliemk-Schulz; Ludy C. H. W. Lutgens; Jan J. Jobsen; Elzbieta M. van der Steen-Banasik; Hans W. Nijman; Vincent T. H. B. M. Smit; Tjalling Bosse; Carien L. Creutzberg; et al. (Nat. Mach. Intell., 2022)

Detecting Cells in Histopathology Images with a ResNet Ensemble Model. - Maxime W. Lafarge; Viktor Hendrik Koelzer (GRAIL/OCELOT@MICCAI, 2023)

SoftCTM: Cell Detection by Soft Instance Segmentation and Consideration of Cell-Tissue Interaction. - Lydia Anette Schoenpflug; Viktor Hendrik Koelzer (GRAIL/OCELOT@MICCAI, 2023)

Joint Prediction of Response to Therapy, Molecular Traits, and Spatial Organisation in Colorectal Cancer Biopsies. - Ruby Wood; Enric Domingo; Korsuk Sirinukunwattana; Maxime W. Lafarge; Viktor H. Koelzer; Timothy S. Maughan; Jens Rittscher (MICCAI (5), 2023)

Multi-task learning for tissue segmentation and tumor detection in colorectal cancer histology slides. - Lydia A. Schoenpflug; Maxime W. Lafarge; Anja L. Frei; Viktor H. Koelzer (CoRR, 2023)

CohortFinder: an open-source tool for data-driven partitioning of biomedical image cohorts to yield robust machine learning models. - Fan Fan; Georgia Martinez; Thomas DeSilvio; John Shin; Yijiang Chen; Bangchen Wang; Takaya Ozeki; Maxime W. Lafarge; Viktor H. Koelzer; Laura Barisoni; Anant Madabhushi; Satish E. Viswanath; et al. (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)

Cluster Triplet Loss for Unsupervised Domain Adaptation on Histology Images. - Ruby Wood; Enric Domingo; Viktor Hendrik Koelzer; Timothy S. Maughan; Jens Rittscher (CVPR Workshops, 2024)

IST-editing: Infinite spatial transcriptomic editing in a generated gigapixel mouse pup. - Jiqing Wu; Ingrid Berg; Viktor H. Koelzer (MIDL, 2024)

GILEA: In silico phenome profiling and editing using GAN Inversion. - Jiqing Wu; Viktor H. Koelzer (Comput. Biol. Medicine, 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)

Evaluation of deep learning training strategies for the classification of bone marrow cell images. - Stefan Glüge; Stefan Balabanov; Viktor H. Koelzer; Thomas Ott (Comput. Methods Programs Biomed., 2024)

SST-editing: in silico spatial transcriptomic editing at single-cell resolution. - Jiqing Wu; Viktor H. Koelzer (Bioinform., 2024)

OCELOT 2023: Cell detection from cell-tissue interaction challenge. - Jaewoong Shin; Jeongun Ryu; Aaron Valero Puche; Jinhee Lee; Biagio Brattoli; Wonkyung Jung; Soo Ick Cho; Kyunghyun Paeng; Chan-Young Ock; Donggeun Yoo; Zhaoyang Li; Wangkai Li; et al. (Medical Image Anal., 2025)

Tera-MIND: Tera-scale mouse brain simulation via spatial mRNA-guided diffusion. - Jiqing Wu; Ingrid Berg; Yawei Li 001; Ender Konukoglu; Viktor H. Koelzer (CoRR, 2025)

Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology. - Boqi Chen; Cédric Vincent-Cuaz; Lydia A. Schoenpflug; Manuel Madeira; Lisa Fournier; Vaishnavi Subramanian; Sonali Andani; Samuel Ruipérez-Campillo; Julia E. Vogt; Raphaëlle Luisier; Dorina Thanou; Viktor H. Koelzer; et al. (CoRR, 2025)