Medical Diffusion - Denoising Diffusion Probabilistic Models for 3D Medical Image Generation. - Firas Khader; Gustav Mueller-Franzes; Soroosh Tayebi Arasteh; Tianyu Han; Christoph Haarburger; Maximilian Schulze-Hagen; Philipp Schad; Sandy Engelhardt; Bettina Baeßler; Sebastian Foersch; Johannes Stegmaier; Christiane Kuhl; et al. (CoRR, 2022)

Medical domain knowledge in domain-agnostic generative AI. - Jakob Nikolas Kather; Narmin Ghaffari Laleh; Sebastian Foersch; Daniel Truhn (npj Digit. Medicine, 2022)

Medical Foundation Models are Susceptible to Targeted Misinformation Attacks. - Tianyu Han; Sven Nebelung; Firas Khader; Tianci Wang; Gustav Mueller-Franzes; Christiane Kuhl; Sebastian Försch; Jens Kleesiek; Christoph Haarburger; Keno K. Bressem; Jakob Nikolas Kather; Daniel Truhn (CoRR, 2023)

From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology. - Omar S. M. El Nahhas; Marko van Treeck; Georg Wölflein; Michaela Unger; Marta Ligero; Tim Lenz; Sophia J. Wagner; Katherine Jane Hewitt; Firas Khader; Sebastian Foersch; Daniel Truhn; Jakob Nikolas Kather (CoRR, 2023)

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)

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)

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; et al. (CoRR, 2024)

Medical large language models are susceptible to targeted misinformation attacks. - Tianyu Han; Sven Nebelung; Firas Khader; Tianci Wang; Gustav Müller-Franzes; Christiane Kuhl; Sebastian Försch; Jens Kleesiek; Christoph Haarburger; Keno K. Bressem; Jakob Nikolas Kather; Daniel Truhn (npj Digit. Medicine, 2024)

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 005; Gordon G. A. Hutchins; Jacqueline A. James; Maurice B. Loughrey; Manuel Salto-Tellez; et al. (Medical Image Anal., 2024)

A deep learning framework for efficient pathology image analysis. - Peter Neidlinger; Tim Lenz; Sebastian Foersch; Chiara Maria Lavinia Loeffler; Jan Clusmann; Marco Gustav; Lawrence A. Shaktah; Rupert Langer; Bastian Dislich; Lisa A. Boardman; Amy J. French; Ellen L. Goode; et al. (CoRR, 2025)