Deep Learning for Prostate Pathology. - Okyaz Eminaga; Yuri Tolkach; Christian Kunder; Mahmoud Abbas; Ryan Han; Rosalie Nolley; Axel Semjonow; Martin Boegemann; Sebastian Huss; Andreas M. Loening; Robert B. West; Geoffrey A. Sonn; et al. (CoRR, 2019)

Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning. - Okyaz Eminaga; Mahmoud Abbas; Yuri Tolkach; Rosalie Nolley; Christian Kunder; Axel Semjonow; Martin Boegemann; Andreas M. Loening; James D. Brooks; Daniel L. Rubin (CoRR, 2019)

High-accuracy prostate cancer pathology using deep learning. - Yuri Tolkach; Tilmann Dohmgörgen; Marieta Toma; Glen Kristiansen (Nat. Mach. Intell., 2020)

Federated Stain Normalization for Computational Pathology. - Nicolas Wagner 001; Moritz Fuchs; Yuri Tolkach; Anirban Mukhopadhyay 003 (MICCAI (2), 2022)

Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology. - Okyaz Eminaga; Mahmoud Abbas; Christian Kunder; Yuri Tolkach; Ryan Han; James D. Brooks; Rosalie Nolley; Axel Semjonow; Martin Boegemann; Robert B. West; Jin Long; Richard E. Fan; et al. (CoRR, 2023)

Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning. - Niklas Babendererde; Moritz Fuchs; Camila González; Yuri Tolkach; Anirban Mukhopadhyay 003 (CoRR, 2023)

From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models. - Christian Harder; Moritz Fuchs; Yuri Tolkach; Anirban Mukhopadhyay 003 (CoRR, 2023)

Predicting HPV association using deep learning and regular H&E stains allows granular stratification of oropharyngeal cancer patients. - Sebastian Klein; Nora Wuerdemann; Imke Demers; Christopher Kopp; Jennifer Quantius; Arthur Charpentier; Yuri Tolkach; Klaus Brinker; Shachi Jenny Sharma; Julie George; Jochen Hess; Fabian Stögbauer; et al. (npj Digit. Medicine, 2023)

Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer. - Gesa Mittmann; Sara Laiouar-Pedari; Hendrik Alexander Mehrtens; Sarah Haggenmüller; Tabea-Clara Bucher; Tirtha Chanda; Nadine T. Gaisa; Mathias Wagner; Gilbert Georg Klamminger; Tilman T. Rau; Christina Neppl; Eva Maria Compérat; et al. (CoRR, 2024)

Sliding Window Optimal Transport for Open World Artifact Detection in Histopathology. - Moritz Fuchs; Mirko Konstantin; Nicolas Schrade; Leonille Schweizer; Yuri Tolkach; Anirban Mukhopadhyay 003 (IEEE J. Biomed. Health Informatics, 2024)