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For: Brieu N, Gavriel CG, Nearchou IP, Harrison DJ, Schmidt G, Caie PD. Automated tumour budding quantification by machine learning augments TNM staging in muscle-invasive bladder cancer prognosis. Sci Rep 2019;9:5174. [PMID: 30914794 DOI: 10.1038/s41598-019-41595-2] [Cited by in Crossref: 16] [Cited by in F6Publishing: 14] [Article Influence: 5.3] [Reference Citation Analysis]
Number Citing Articles
1 Drew RJ, Murphy T, Broderick D, O'Gorman J, Eogan M. An interpretation algorithm for molecular diagnosis of bacterial vaginosis in a maternity hospital using machine learning: proof-of-concept study. Diagn Microbiol Infect Dis 2020;96:114950. [PMID: 31836253 DOI: 10.1016/j.diagmicrobio.2019.114950] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
2 Brodie A, Dai N, Teoh JY, Decaestecker K, Dasgupta P, Vasdev N. Artificial intelligence in urological oncology: An update and future applications. Urol Oncol 2021;39:379-99. [PMID: 34024704 DOI: 10.1016/j.urolonc.2021.03.012] [Reference Citation Analysis]
3 Dimitriou N, Arandjelović O, Caie PD. Deep Learning for Whole Slide Image Analysis: An Overview. Front Med (Lausanne) 2019;6:264. [PMID: 31824952 DOI: 10.3389/fmed.2019.00264] [Cited by in Crossref: 50] [Cited by in F6Publishing: 37] [Article Influence: 16.7] [Reference Citation Analysis]
4 Shiraishi T, Shinto E, Nearchou IP, Tsuda H, Kajiwara Y, Einama T, Caie PD, Kishi Y, Ueno H. Prognostic significance of mesothelin expression in colorectal cancer disclosed by area-specific four-point tissue microarrays. Virchows Arch. 2020;477:409-420. [PMID: 32107600 DOI: 10.1007/s00428-020-02775-y] [Cited by in Crossref: 5] [Cited by in F6Publishing: 7] [Article Influence: 2.5] [Reference Citation Analysis]
5 Wetstein SC, Onken AM, Luffman C, Baker GM, Pyle ME, Kensler KH, Liu Y, Bakker B, Vlutters R, van Leeuwen MB, Collins LC, Schnitt SJ, Pluim JPW, Tamimi RM, Heng YJ, Veta M. Deep learning assessment of breast terminal duct lobular unit involution: Towards automated prediction of breast cancer risk. PLoS One 2020;15:e0231653. [PMID: 32294107 DOI: 10.1371/journal.pone.0231653] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
6 Lugli A, Zlobec I, Berger MD, Kirsch R, Nagtegaal ID. Tumour budding in solid cancers. Nat Rev Clin Oncol 2021;18:101-15. [PMID: 32901132 DOI: 10.1038/s41571-020-0422-y] [Cited by in Crossref: 18] [Cited by in F6Publishing: 17] [Article Influence: 9.0] [Reference Citation Analysis]
7 Liu J, Li C, Huang K, Aldanakh A, Yang D, Wang J, Sun X, Song X. A classification based on tumor-stroma ratio and tumor budding for patients with muscle-invasive bladder cancer. Expert Rev Anticancer Ther 2021;:1-8. [PMID: 34836489 DOI: 10.1080/14737140.2022.2012158] [Reference Citation Analysis]
8 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]
9 Nagy M, Radakovich N, Nazha A. Machine Learning in Oncology: What Should Clinicians Know? JCO Clin Cancer Inform 2020;4:799-810. [PMID: 32926637 DOI: 10.1200/CCI.20.00049] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 6.0] [Reference Citation Analysis]
10 Schuettfort VM, Pradere B, Rink M, Comperat E, Shariat SF. Pathomics in urology. Curr Opin Urol 2020;30:823-31. [PMID: 32881725 DOI: 10.1097/MOU.0000000000000813] [Cited by in Crossref: 6] [Cited by in F6Publishing: 1] [Article Influence: 6.0] [Reference Citation Analysis]
11 Gandi C, Vaccarella L, Bientinesi R, Racioppi M, Pierconti F, Sacco E. Bladder cancer in the time of machine learning: Intelligent tools for diagnosis and management. Urologia 2021;88:94-102. [PMID: 33402061 DOI: 10.1177/0391560320987169] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
12 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]
13 García G, Esteve A, Colomer A, Ramos D, Naranjo V. A novel self-learning framework for bladder cancer grading using histopathological images. Comput Biol Med 2021;138:104932. [PMID: 34673472 DOI: 10.1016/j.compbiomed.2021.104932] [Reference Citation Analysis]
14 Suarez-Ibarrola R, Hein S, Reis G, Gratzke C, Miernik A. Current and future applications of machine and deep learning in urology: a review of the literature on urolithiasis, renal cell carcinoma, and bladder and prostate cancer. World J Urol 2020;38:2329-47. [PMID: 31691082 DOI: 10.1007/s00345-019-03000-5] [Cited by in Crossref: 21] [Cited by in F6Publishing: 20] [Article Influence: 7.0] [Reference Citation Analysis]
15 Gavriel CG, Dimitriou N, Brieu N, Nearchou IP, Arandjelović O, Schmidt G, Harrison DJ, Caie PD. Assessment of Immunological Features in Muscle-Invasive Bladder Cancer Prognosis Using Ensemble Learning. Cancers (Basel) 2021;13:1624. [PMID: 33915698 DOI: 10.3390/cancers13071624] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
16 Studer L, Blank A, Bokhorst JM, Nagtegaal ID, Zlobec I, Lugli A, Fischer A, Dawson H. Taking tumour budding to the next frontier - a post International Tumour Budding Consensus Conference (ITBCC) 2016 review. Histopathology 2021;78:476-84. [PMID: 33001500 DOI: 10.1111/his.14267] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]