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Deep learning integrates histopathology and proteogenomics at a pan-cancer level.
Wang JM, Hong R, Demicco EG, Tan J, Lazcano R, Moreira AL, Li Y, Calinawan A, Razavian N, Schraink T, Gillette MA, Omenn GS, An E, Rodriguez H, Tsirigos A, Ruggles KV, Ding L, Robles AI, Mani DR, Rodland KD, Lazar AJ, Liu W, Fenyö D; Clinical Proteomic Tumor Analysis Consortium. Wang JM, et al. Among authors: razavian n. Cell Rep Med. 2023 Sep 19;4(9):101173. doi: 10.1016/j.xcrm.2023.101173. Epub 2023 Aug 14. Cell Rep Med. 2023. PMID: 37582371 Free PMC article.
Deep Learning and Pathomics Analyses Reveal Cell Nuclei as Important Features for Mutation Prediction of BRAF-Mutated Melanomas.
Kim RH, Nomikou S, Coudray N, Jour G, Dawood Z, Hong R, Esteva E, Sakellaropoulos T, Donnelly D, Moran U, Hatzimemos A, Weber JS, Razavian N, Aifantis I, Fenyo D, Snuderl M, Shapiro R, Berman RS, Osman I, Tsirigos A. Kim RH, et al. Among authors: razavian n. J Invest Dermatol. 2022 Jun;142(6):1650-1658.e6. doi: 10.1016/j.jid.2021.09.034. Epub 2021 Oct 30. J Invest Dermatol. 2022. PMID: 34757067 Free PMC article.
State of the Art: Machine Learning Applications in Glioma Imaging.
Lotan E, Jain R, Razavian N, Fatterpekar GM, Lui YW. Lotan E, et al. Among authors: razavian n. AJR Am J Roentgenol. 2019 Jan;212(1):26-37. doi: 10.2214/AJR.18.20218. Epub 2018 Oct 17. AJR Am J Roentgenol. 2019. PMID: 30332296 Review.
46 results