A Good Feature Extractor Is All You Need for Weakly Supervised Learning in Histopathology. - Georg Wölflein; Dyke Ferber; Asier Rabasco Meneghetti; Omar S. M. El Nahhas; Daniel Truhn; Zunamys I. Carrero; David J. Harrison; Ognjen Arandjelovic; Jakob Nikolas Kather (CoRR, 2023)

A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification. - Georg Wölflein; Dyke Ferber; Asier Rabasco Meneghetti; Omar S. M. El Nahhas; Daniel Truhn; Zunamys I. Carrero; David J. Harrison; Ognjen Arandjelovic; Jakob Nikolas Kather (ECCV Workshops (16), 2024)

In-context learning enables multimodal large language models to classify cancer pathology images. - Dyke Ferber; Georg Wölflein; Isabella C. Wiest; Marta Ligero; Srividhya Sainath; Narmin Ghaffari Laleh; Omar S. M. El Nahhas; Gustav Müller-Franzes; Dirk Jäger; Daniel Truhn; Jakob Nikolas Kather (CoRR, 2024)

Autonomous Artificial Intelligence Agents for Clinical Decision Making in Oncology. - Dyke Ferber; Omar S. M. El Nahhas; Georg Wölflein; Isabella C. Wiest; Jan Clusmann; Marie-Elisabeth Leßman; Sebastian Foersch; Jacqueline Lammert; Maximilian Tschochohei; Dirk Jäger; Manuel Salto-Tellez; Nikolaus Schultz; et al. (CoRR, 2024)

End-To-End Clinical Trial Matching with Large Language Models. - Dyke Ferber; Lars Hilgers; Isabella C. Wiest; Marie-Elisabeth Leßmann; Jan Clusmann; Peter Neidlinger; Jiefu Zhu; Georg Wölflein; Jacqueline Lammert; Maximilian Tschochohei; Heiko Böhme; Dirk Jäger; et al. (CoRR, 2024)

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)

Prompt Injection Attacks on Large Language Models in Oncology. - Jan Clusmann; Dyke Ferber; Isabella C. Wiest; Carolin V. Schneider; Titus J. Brinker; Sebastian Foersch; Daniel Truhn; Jakob Nikolas Kather (CoRR, 2024)

Privacy-preserving large language models for structured medical information retrieval. - Isabella C. Wiest; Dyke Ferber; Jiefu Zhu; Marko van Treeck; Sonja K. Meyer; Radhika Juglan; Zunamys I. Carrero; Daniel Paech; Jens Kleesiek; Matthias P. Ebert; Daniel Truhn; Jakob Nikolas Kather (npj Digit. Medicine, 2024)

LLM Agents Making Agent Tools. - Georg Wölflein; Dyke Ferber; Daniel Truhn; Ognjen Arandjelovic; Jakob Nikolas Kather (ACL (1), 2025)

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; et al. (npj Digit. Medicine, 2025)