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For: Levine AB, Peng J, Farnell D, Nursey M, Wang Y, Naso JR, Ren H, Farahani H, Chen C, Chiu D, Talhouk A, Sheffield B, Riazy M, Ip PP, Parra-Herran C, Mills A, Singh N, Tessier-Cloutier B, Salisbury T, Lee J, Salcudean T, Jones SJ, Huntsman DG, Gilks CB, Yip S, Bashashati A. Synthesis of diagnostic quality cancer pathology images by generative adversarial networks. J Pathol 2020;252:178-88. [PMID: 32686118 DOI: 10.1002/path.5509] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
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1 Cornish TC. Artificial intelligence for automating the measurement of histologic image biomarkers. J Clin Invest 2021;131:147966. [PMID: 33855974 DOI: 10.1172/JCI147966] [Reference Citation Analysis]
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3 Deshpande S, Minhas F, Graham S, Rajpoot N. SAFRON: Stitching Across the Frontier Network for Generating Colorectal Cancer Histology Images. Med Image Anal 2021;77:102337. [PMID: 35016078 DOI: 10.1016/j.media.2021.102337] [Reference Citation Analysis]
4 Wang Z, Lim G, Ng WY, Keane PA, Campbell JP, Tan GSW, Schmetterer L, Wong TY, Liu Y, Ting DSW. Generative adversarial networks in ophthalmology: what are these and how can they be used? Curr Opin Ophthalmol 2021;32:459-67. [PMID: 34324454 DOI: 10.1097/ICU.0000000000000794] [Reference Citation Analysis]
5 Budelmann D, Laue H, Weiss N, Dahmen U, D'Alessandro LA, Biermayer I, Klingmüller U, Ghallab A, Hassan R, Begher-Tibbe B, Hengstler JG, Schwen LO. Automated Detection of Portal Fields and Central Veins in Whole-Slide Images of Liver Tissue. J Pathol Inform 2022;13:100001. [PMID: 35242441 DOI: 10.1016/j.jpi.2022.100001] [Reference Citation Analysis]
6 Dehkharghanian T, Rahnamayan S, Riasatian A, Bidgoli AA, Kalra S, Zaveri M, Babaie M, Seyed Sajadi MS, Gonzalelz R, Diamandis P, Pantanowitz L, Huang T, Tizhoosh HR. Selection, Visualization, and Interpretation of Deep Features in Lung Adenocarcinoma and Squamous Cell Carcinoma. Am J Pathol 2021:S0002-9440(21)00387-4. [PMID: 34508689 DOI: 10.1016/j.ajpath.2021.08.013] [Reference Citation Analysis]
7 Tschuchnig ME, Oostingh GJ, Gadermayr M. Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential. Patterns (N Y) 2020;1:100089. [PMID: 33205132 DOI: 10.1016/j.patter.2020.100089] [Cited by in Crossref: 12] [Cited by in F6Publishing: 10] [Article Influence: 6.0] [Reference Citation Analysis]
8 Safarpoor A, Kalra S, Tizhoosh HR. Generative models in pathology: synthesis of diagnostic quality pathology images. J Pathol 2021;253:131-2. [PMID: 33140849 DOI: 10.1002/path.5577] [Reference Citation Analysis]