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Artificial intelligence-based detection of FGFR3 mutational status directly from routine histology in bladder cancer: A possible preselection for molecular testing?

C. Loeffler, N. Ortiz Bruechle, M. Jung, L. Seillier, M. Rose, N. Laleh, R. Knuechel, T. Brinker, C. Trautwein, N. Gaisa, and J. Kather. Eur. Urol. Focus, 8 (2): 472--479 (March 2022)

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Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathologyN. Ghaffari Laleh, H. Muti, C. Loeffler, A. Echle, O. Saldanha, F. Mahmood, M. Lu, C. Trautwein, R. Langer, B. Dislich 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 reviewL. Schneider, S. Laiouar-Pedari, S. Kuntz, E. Krieghoff-Henning, A. Hekler, J. Kather, T. Gaiser, S. Fröhling, and T. Brinker. 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?C. Loeffler, N. Ortiz Bruechle, M. Jung, L. Seillier, M. Rose, N. Laleh, R. Knuechel, T. Brinker, C. Trautwein, N. Gaisa 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 histopathologyP. Schrammen, N. Ghaffari Laleh, A. Echle, D. Truhn, V. Schulz, T. Brinker, H. Brenner, J. Chang-Claude, E. Alwers, A. Brobeil and 9 other author(s). J. Pathol., 256 (1): 50--60 (January 2022)Explainable artificial intelligence in skin cancer recognition: A systematic reviewK. Hauser, A. Kurz, S. Haggenmüller, R. Maron, C. von Kalle, J. Utikal, F. Meier, S. Hobelsberger, F. Gellrich, M. Sergon and 23 other author(s). Eur. J. Cancer, (May 2022)Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancerS. Brockmoeller, A. Echle, N. Ghaffari Laleh, S. Eiholm, M. Malmstrøm, T. Plato Kuhlmann, K. Levic, H. Grabsch, N. West, O. Saldanha and 7 other author(s). J. Pathol., 256 (3): 269--281 (March 2022)Deep learning can predict survival directly from histology in clear cell renal cell carcinomaF. Wessels, M. Schmitt, E. Krieghoff-Henning, J. Kather, M. Nientiedt, M. Kriegmair, T. Worst, M. Neuberger, M. Steeg, Z. Popovic 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 cancerS. Brockmoeller, A. Echle, N. Ghaffari Laleh, S. Eiholm, M. Malmstrøm, T. Plato Kuhlmann, K. Levic, H. Grabsch, N. West, O. Saldanha and 7 other author(s). The Journal of Pathology, 256 (3): 269–281 (December 2021)Model soups improve performance of dermoscopic skin cancer classifiersR. Maron, A. Hekler, S. Haggenmüller, C. von Kalle, J. Utikal, V. Müller, M. Gaiser, F. Meier, S. Hobelsberger, F. Gellrich and 23 other author(s). Eur. J. Cancer, (September 2022)Response to letter entitled: Re: Integration of deep learning-based image analysis and genomic data in cancer pathology: A systematic reviewL. Schneider, E. Krieghoff-Henning, S. Laiouar-Pedari, S. Kuntz, A. Hekler, J. Kather, T. Gaiser, S. Fröhling, and T. Brinker. Eur. J. Cancer, (September 2022)

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