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Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology., , , , , , , , , and 13 other author(s). Medical Image Anal., (2022)Machine learning in the identification of prognostic DNA methylation biomarkers among patients with cancer: A systematic review of epigenome-wide studies., , , , , , and . Artif. Intell. Medicine, (September 2023)Fully transformer-based biomarker prediction from colorectal cancer histology: a large-scale multicentric study., , , , , , , , , and 21 other author(s). CoRR, (2023)Basiswissen RAMI 4.0: Referenzarchitekturmodell und Industrie 4.0-Komponente, , , and . Industrie 4.0 Beuth, Berlin, (2017)The AutomationML Component Description in the context of the Asset Administration Shell., , and . ETFA, page 1278-1281. IEEE, (2019)Encrypted federated learning for secure decentralized collaboration in cancer image analysis., , , , , , , , , and 17 other author(s). Medical Image Anal., (February 2024)Towards a Semantic Administrative Shell for Industry 4.0 Components, , , , , and . Semantic Computing, page 230--237. (2016)Genome-wide association study for colorectal cancer identifies risk polymorphisms in German familial cases and implicates MAPK signalling pathways in disease susceptibility, , , , , , , , , and 24 other author(s). Carcinogenesis, 31 (9): 1612–1619 (2010)The Reference Architecture Model RAMI 4.0 and the Industrie 4.0 component, , , and . VDE Verlag, (2019)Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474., , , , , , , , , and 13 other author(s). Medical Image Anal., (2022)