xMIL: Insightful Explanations for Multiple Instance Learning in Histopathology. - Julius Hense; Mina Jamshidi Idaji; Oliver Eberle; Thomas Schnake; Jonas Dippel; Laure Ciernik; Oliver Buchstab; Andreas Mock; Frederick Klauschen; Klaus-Robert Müller (NeurIPS, 2024)

AI-based Anomaly Detection for Clinical-Grade Histopathological Diagnostics. - Jonas Dippel; Niklas Prenißl; Julius Hense; Philipp Liznerski; Tobias Winterhoff; Simon Schallenberg; Marius Kloft; Oliver Buchstab; David Horst; Maximilian Alber; Lukas Ruff; Klaus-Robert Müller; et al. (CoRR, 2024)

Do Histopathological Foundation Models Eliminate Batch Effects? A Comparative Study. - Jonah Kömen; Hannah Marienwald; Jonas Dippel; Julius Hense (CoRR, 2024)

MeDi: Metadata-Guided Diffusion Models for Mitigating Biases in Tumor Classification. - David Jacob Drexlin; Jonas Dippel; Julius Hense; Niklas Prenißl; Grégoire Montavon; Frederick Klauschen; Klaus-Robert Müller (CoRR, 2025)

Towards Robust Foundation Models for Digital Pathology. - Jonah Kömen; Edwin D. de Jong; Julius Hense; Hannah Marienwald; Jonas Dippel; Philip Naumann; Eric Marcus; Lukas Ruff; Maximilian Alber; Jonas Teuwen; Frederick Klauschen; Klaus-Robert Müller (CoRR, 2025)