Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. - Narmin Ghaffari Laleh; Hannah Sophie Muti; Chiara Maria Lavinia Loeffler; Amelie Echle; Oliver Lester Saldanha; Faisal Mahmood 001; Ming Y. Lu; Christian Trautwein; Rupert Langer; Bastian Dislich; Roman David Bülow; Heike Irmgard Grabsch; et al. (Medical Image Anal., 2022)

Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474. - Narmin Ghaffari Laleh; Hannah Sophie Muti; Chiara Maria Lavinia Loeffler; Amelie Echle; Oliver Lester Saldanha; Faisal Mahmood 001; Ming Y. Lu; Christian Trautwein; Rupert Langer; Bastian Dislich; Roman David Bülow; Heike Irmgard Grabsch; et al. (Medical Image Anal., 2022)

Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study. - Sophia J. Wagner; Daniel Reisenbüchler; Nicholas P. West; Jan Moritz Niehues; Gregory Patrick Veldhuizen; Philip Quirke; Heike Irmgard Grabsch; Piet A. van den Brandt; Gordon G. A. Hutchins; Susan D. Richman; Tanwei Yuan; Rupert Langer; et al. (CoRR, 2023)

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)

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)