Publications

Markus Bauer, und 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]

Raghava Vinaykanth Mushunuri, Matthias Choschzick, Ulf-Dietrich Braumann, und Jürgen Hess. An ensemble approach for histopathological classification of vulvar cancer. In John E Tomaszewski, und Aaron D Ward (Hrsg.), Medical Imaging 2023: Digital and Computational Pathology, 40, SPIE, April 2023. [PUMA: approach cancer classification ensemble histopathological nopdf vulvar]

Katharina Beyer, Vera Straten, Sebastiaan Remmers, Steven MacLennan, Sara MacLennan, Giorgio Gandaglia, Peter-Paul M. Willemse, Ronald Herrera, Muhammad Imran Omar, Beth Russell, Johannes Huber, Markus Kreuz, Alex Asiimwe, Tom Abbott, Alberto Briganti, Mieke Van Hemelrijck, und Monique J. Roobol. Secondary Treatment for Men with Localized Prostate Cancer: A Pooled Analysis of PRIAS and ERSPC-Rotterdam Data within the PIONEER Data Platform. Journal of Personalized Medicine, (12)5:751, MDPI AG, Mai 2022. [PUMA: Cancer ERSPC-Rotterdam Localized Men PIONEER PRIAS Prostate Secondary Treatment Zno] URL

Mika Katalinic, Martin Schenk, Stefan Franke, Alexander Katalinic, Thomas Neumuth, Andreas Dietz, Matthaeus Stoehr, und Jan Gaebel. Generation of a Realistic Synthetic Laryngeal Cancer Cohort for AI Applications. Cancers, (16)3:639, MDPI AG, Februar 2024. [PUMA: AI Applications Cancer Cohort Generation Laryngeal Realistic Synthetic zno] URL

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, und 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, Februar 2024. [PUMA: Yaff applicable biopsies cancer formalin-fixed paraffin-embedded predictionprostate risk-score transcriptomic] URL

Markus Bauer, Lennart Schneider, Marit Bernhardt, Christoph Augenstein, Glen Kristiansen, und Bogdan Franczyk. An Open-Source Approach for Digital Prostate Cancer Histopathology: Bringing AI into Practice. Proceedings of the 26th International Conference on Enterprise Information Systems - Volume 1: ICEIS, 729-738, SciTePress, 2024. [PUMA: AI Cancer Digital Histopatholog Open-Source Prostate nopdf]

Chiara Maria Lavinia Loeffler, Nadine T Gaisa, Hannah Sophie Muti, Marko van Treeck, Amelie Echle, Narmin Ghaffari Laleh, Christian Trautwein, Lara R Heij, Heike I Grabsch, Nadina Ortiz Bruechle, und Jakob Nikolas Kather. Predicting mutational status of driver and suppressor genes directly from histopathology with Deep Learning: A systematic study across 23 solid tumor types. Front. Genet., (12):806386, 2021. [PUMA: (AI); TCGA; artificail cancer deep genes; genetic intelligence learning; pathway pathway;]

Mariia Tkachenko, Claire Chalopin, Boris Jansen-Winkeln, Thomas Neumuth, Ines Gockel, und Marianne Maktabi. Impact of pre- and post-processing steps for supervised classification of colorectal cancer in hyperspectral images. Cancers (Basel), (15)7April 2023. [PUMA: topic_lifescience cancer cancer; classification; colorectal convolutional filter; hyperspectral imaging; learning; machine median networks; post-processing; pre-processing]