Jakob Nikolas Kather

Full Professor, EKFZ for Digital Health, Technische Universität Dresden

Joined

August 2021

Names

Jakob Nikolas Kather (Preferred)

Emails

****@ukaachen.de (Confirmed)

****@gmail.com (Confirmed)

****@tu-dresden.de (Confirmed)

Personal Links

Career & Education History

Full Professor

EKFZ for Digital Health, Technische Universität Dresden (tu-dresden.de)

2022 – Present

Assistant Professor

University Hospital Aachen, Germany (ukaachen.de)

2021 – 2022

Advisors, Relations & Conflicts

PhD Advisor

Sophia Wagner

2022 – 2023

Expertise

Deep Learning

2016 – 2056

Oncology

2016 – 2056

Cancer Research

2016 – 2056

Image Processing

2016 – 2056

Computational Pathology

2016 – 2056

Publications

Predicting Biochemical Recurrence from Prostatectomy Slides - the LEOPARD Challenge
Khrystyna Faryna, Clément Grisi, Nefise Uysal, Hans Pinckaers, Joep Bogaerts, Solene-Florence Kammerer-Jacquet, Pierre Allaume, Vittorio Agosti, Paulo Guilherme de Oliveira Salles, Yuri Tolkach, Reinhard Buettner, Sofiya Semko, Maksym Pikul, Axel Heidenreich, Adam Kowalewski, Leslie Tessier, Frédérique Meeuwsen, Jolique van Ipenburg, Till Nicke, Johannes Lotz et al. (31 additional authors not shown)
- MIDL 2026 - Short Papers Poster
- Readers: Everyone
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections
Max Kirchner, Alexander Caspar Jenke, Sebastian Bodenstedt, Fiona R. Kolbinger, Oliver L. Saldanha, Jakob Nikolas Kather, Martin Wagner, Stefanie Speidel
- MIDL 2026 Poster
- Readers: Everyone
HistoPrism: Unlocking Functional Pathway Analysis from Pan-Cancer Histology via Gene Expression Prediction
Susu Hu, Qinghe Zeng, Nithya Bhasker, Jakob Nikolas Kather, Stefanie Speidel
- ICLR 2026 Poster
- Readers: Everyone
Pg-GAT: A Complete Graph Model for Cancer Detection and Subtyping in Whole Slide Images Analysis
Susu Hu, Nithya Bhasker, Guido Montufar, Jakob Nikolas Kather, Lena Seifert, Stefanie Speidel
- Submitted to ICLR 2025
- Readers: Everyone
Encrypted federated learning for secure decentralized collaboration in cancer image analysis
Daniel Truhn, Soroosh Tayebi Arasteh, Oliver Lester Saldanha, Gustav Müller-Franzes, Firas Khader, Philip Quirke, Nicholas P. West, Richard Gray, Gordon G. A. Hutchins, Jacqueline A. James, Maurice B. Loughrey, Manuel Salto-Tellez, Hermann Brenner, Alexander Brobeil, Tanwei Yuan, Jenny Chang-Claude, Michael Hoffmeister, Sebastian Foersch, Tianyu Han, Sebastian Keil et al. (7 additional authors not shown)
- Medical Image Anal. 2024
- Readers: Everyone
Large Language Models-Enabled Digital Twins for Precision Medicine in Rare Gynecological Tumors
Jacqueline Lammert, Nicole Pfarr, Leonid Kuligin, Sonja Mathes, Tobias Dreyer, Luise Modersohn, Patrick Metzger, Dyke Ferber, Jakob Nikolas Kather, Daniel Truhn, Lisa Christine Adams, Keno K. Bressem, Sebastian Lange, Kristina Schwamborn, Martin Boeker, Marion Kiechle, Ulrich A. Schatz, Holger Bronger, Maximilian Tschochohei
- CoRR 2024
- Readers: Everyone
RadioRAG: Factual Large Language Models for Enhanced Diagnostics in Radiology Using Dynamic Retrieval Augmented Generation
Soroosh Tayebi Arasteh, Mahshad Lotfinia, Keno K. Bressem, Robert Siepmann, Dyke Ferber, Christiane Kuhl, Jakob Nikolas Kather, Sven Nebelung, Daniel Truhn
- CoRR 2024
- Readers: Everyone
Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology
Tim Lenz, Omar S. M. El Nahhas, Marta Ligero, Jakob Nikolas Kather
- CoRR 2024
- Readers: Everyone
Benchmarking foundation models as feature extractors for weakly-supervised computational pathology
Peter Neidlinger, Omar S. M. El Nahhas, Hannah Sophie Muti, Tim Lenz, Michael Hoffmeister, Hermann Brenner, Marko van Treeck, Rupert Langer, Bastian Dislich, Hans Michael Behrens, Christoph Röcken, Sebastian Foersch, Daniel Truhn, Antonio Marra, Oliver Lester Saldanha, Jakob Nikolas Kather
- CoRR 2024
- Readers: Everyone
Dermatologist-like explainable AI enhances melanoma diagnosis accuracy: eye-tracking study
Tirtha Chanda, Sarah Haggenmüller, Tabea-Clara Bucher, Tim Holland-Letz, Harald Kittler, Philipp Tschandl, Markus V. Heppt, Carola Berking, Jochen S. Utikal, Bastian Schilling, Claudia Buerger, Cristian Navarrete-Dechent, Matthias Goebeler, Jakob Nikolas Kather, Carolin V. Schneider, Benjamin Durani, Hendrike Durani, Martin Jansen, Juliane Wacker, Joerg Wacker et al. (2 additional authors not shown)
- CoRR 2024
- Readers: Everyone

View all 53 publications

Co-Authors

View all 273 co-authors