Publications

Markus Bauer, and Christoph Augenstein. Self-supervised learning in histopathology: New perspectives for prostate cancer grading. Lecture Notes in Computer Science, 348--360, Springer Nature Switzerland, Cham, 2024. [PUMA: Yaff cancer grading histopathology learning prostate self-supervised topic_lifescience]

Michael Rade, Markus Kreuz, Angelika Borkowetz, Ulrich Sommer, Conny Blumert, Susanne Füssel, Catharina Bertram, Dennis Löffler, Dominik J. Otto, Livia A. Wöller, Carolin Schimmelpfennig, Ulrike Köhl, Ann-Cathrin Gottschling, Pia Hönscheid, Gustavo B. Baretton, Manfred Wirth, Christian Thomas, Friedemann Horn, and Kristin Reiche. A reliable transcriptomic risk-score applicable to formalin-fixed paraffin-embedded biopsies improves outcome prediction in localized prostate cancer. Molecular Medicine, (30)1Springer Science and Business Media LLC, February 2024. [PUMA: Yaff applicable biopsies cancer formalin-fixed paraffin-embedded predictionprostate risk-score transcriptomic] URL