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Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology, , , , , , , , , and 13 other author(s). Med. Image Anal., 79 (102474): 102474 (July 2022)Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review, , , , , , , , and . Eur. J. Cancer, (January 2022)Artificial intelligence-based detection of FGFR3 mutational status directly from routine histology in bladder cancer: A possible preselection for molecular testing?, , , , , , , , , and 1 other author(s). Eur. Urol. Focus, 8 (2): 472--479 (March 2022)Weakly supervised annotation-free cancer detection and prediction of genotype in routine histopathology, , , , , , , , , and 9 other author(s). J. Pathol., 256 (1): 50--60 (January 2022)Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer, , , , , , , , , and 7 other author(s). The Journal of Pathology, 256 (3): 269–281 (December 2021)Explainable artificial intelligence in skin cancer recognition: A systematic review, , , , , , , , , and 23 other author(s). Eur. J. Cancer, (May 2022)Deep learning can predict survival directly from histology in clear cell renal cell carcinoma, , , , , , , , , and 7 other author(s). PLoS One, 17 (8): e0272656 (August 2022)Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer, , , , , , , , , and 7 other author(s). J. Pathol., 256 (3): 269--281 (March 2022)Swarm learning for decentralized artificial intelligence in cancer histopathology, , , , , , , , , and 17 other author(s). Nat. Med., 28 (6): 1232--1239 (June 2022)Response to letter entitled: Re: Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic review, , , , , , , , and . Eur. J. Cancer, (September 2022)