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)

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)

Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning. - Tim Lenz; Peter Neidlinger; Marta Ligero; Georg Wölflein; Marko van Treeck; Jakob Nikolas Kather (CVPR, 2025)

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)