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Cited by in F6Publishing
For: Lucas M, Jansen I, van Leeuwen TG, Oddens JR, de Bruin DM, Marquering HA. Deep Learning–based Recurrence Prediction in Patients with Non–muscle-invasive Bladder Cancer. European Urology Focus 2020. [DOI: 10.1016/j.euf.2020.12.008] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Pinar U, Pradere B, Roupret M. Artificial intelligence in bladder cancer prognosis: a pathway for personalized medicine. Curr Opin Urol 2021;31:404-8. [PMID: 33882561 DOI: 10.1097/MOU.0000000000000882] [Reference Citation Analysis]
2 Loeffler CML, Ortiz Bruechle N, Jung M, Seillier L, Rose M, Laleh NG, Knuechel R, Brinker TJ, Trautwein C, Gaisa NT, Kather JN. Artificial Intelligence-based Detection of FGFR3 Mutational Status Directly from Routine Histology in Bladder Cancer: A Possible Preselection for Molecular Testing? Eur Urol Focus 2021:S2405-4569(21)00113-9. [PMID: 33895087 DOI: 10.1016/j.euf.2021.04.007] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]