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Cited by in F6Publishing
For: [DOI: 10.1101/064279] [Cited by in Crossref: 22] [Cited by in F6Publishing: 8] [Reference Citation Analysis]
Number Citing Articles
1 Litjens G, Kooi T, Bejnordi BE, Setio AAA, Ciompi F, Ghafoorian M, van der Laak JA, van Ginneken B, Sánchez CI. A survey on deep learning in medical image analysis. Medical Image Analysis 2017;42:60-88. [DOI: 10.1016/j.media.2017.07.005] [Cited by in Crossref: 3763] [Cited by in F6Publishing: 1874] [Article Influence: 752.6] [Reference Citation Analysis]
2 Jang HJ, Lee A, Kang J, Song IH, Lee SH. Prediction of genetic alterations from gastric cancer histopathology images using a fully automated deep learning approach. World J Gastroenterol 2021; 27(44): 7687-7704 [PMID: 34908807 DOI: 10.3748/wjg.v27.i44.7687] [Reference Citation Analysis]
3 Fu Y, Jung AW, Torne RV, Gonzalez S, Vöhringer H, Shmatko A, Yates LR, Jimenez-linan M, Moore L, Gerstung M. Pan-cancer computational histopathology reveals mutations, tumor composition and prognosis. Nat Cancer 2020;1:800-10. [DOI: 10.1038/s43018-020-0085-8] [Cited by in Crossref: 55] [Cited by in F6Publishing: 19] [Article Influence: 27.5] [Reference Citation Analysis]
4 Coudray N, Tsirigos A. Deep learning links histology, molecular signatures and prognosis in cancer. Nat Cancer 2020;1:755-7. [DOI: 10.1038/s43018-020-0099-2] [Cited by in Crossref: 9] [Article Influence: 4.5] [Reference Citation Analysis]
5 [DOI: 10.1101/760173] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
6 Schaumberg AJ, Juarez-Nicanor WC, Choudhury SJ, Pastrián LG, Pritt BS, Prieto Pozuelo M, Sotillo Sánchez R, Ho K, Zahra N, Sener BD, Yip S, Xu B, Annavarapu SR, Morini A, Jones KA, Rosado-Orozco K, Mukhopadhyay S, Miguel C, Yang H, Rosen Y, Ali RH, Folaranmi OO, Gardner JM, Rusu C, Stayerman C, Gross J, Suleiman DE, Sirintrapun SJ, Aly M, Fuchs TJ. Interpretable multimodal deep learning for real-time pan-tissue pan-disease pathology search on social media. Mod Pathol 2020;33:2169-85. [PMID: 32467650 DOI: 10.1038/s41379-020-0540-1] [Cited by in Crossref: 11] [Cited by in F6Publishing: 5] [Article Influence: 5.5] [Reference Citation Analysis]
7 Coudray N, Ocampo PS, Sakellaropoulos T, Narula N, Snuderl M, Fenyö D, Moreira AL, Razavian N, Tsirigos A. Classification and mutation prediction from non-small cell lung cancer histopathology images using deep learning. Nat Med 2018;24:1559-67. [PMID: 30224757 DOI: 10.1038/s41591-018-0177-5] [Cited by in Crossref: 668] [Cited by in F6Publishing: 509] [Article Influence: 167.0] [Reference Citation Analysis]
8 [DOI: 10.1101/715656] [Cited by in Crossref: 4] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
9 Jang HJ, Lee A, Kang J, Song IH, Lee SH. Prediction of clinically actionable genetic alterations from colorectal cancer histopathology images using deep learning. World J Gastroenterol 2020; 26(40): 6207-6223 [PMID: 33177794 DOI: 10.3748/wjg.v26.i40.6207] [Cited by in CrossRef: 10] [Cited by in F6Publishing: 10] [Article Influence: 5.0] [Reference Citation Analysis]