Publications

Chiara Maria Lavinia Loeffler, Nadina Ortiz Bruechle, Max Jung, Lancelot Seillier, Michael Rose, Narmin Ghaffari Laleh, Ruth Knuechel, Titus J Brinker, Christian Trautwein, Nadine T Gaisa, und Jakob N Kather. Artificial intelligence-based detection of FGFR3 mutational status directly from routine histology in bladder cancer: A possible preselection for molecular testing?. Eur. Urol. Focus, (8)2:472--479, Elsevier BV, März 2022. [PUMA: Artificial intelligence; learning; therapy for Deep mutations; Bladder cancer; Molecular fibroblast receptor testing topic_lifescience growth factor FGFR3]

Neringa Jurenaite, Daniel Leon-Perinan, Veronika Donath, Sunna Torge, und Rene Jakel. SetQuence & SetOmic: Deep Set Transformer-based Representations of Cancer Multi-Omics. 2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2022, 139--147, IEEE, New York u. a., United States of America, 2022. [PUMA: FIS_scads Set processing, gene expression, natural language molecular livinglab genome, Deep sequence topic_federatedlearn multi-omics, mutome, Representations analysis, Network, Neural]