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Cited by in F6Publishing
For: van der Zander QEW, Schreuder RM, Fonollà R, Scheeve T, van der Sommen F, Winkens B, Aepli P, Hayee B, Pischel AB, Stefanovic M, Subramaniam S, Bhandari P, de With PHN, Masclee AAM, Schoon EJ. Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical diagnosis.Endoscopy. 2020;. [PMID: 33368056 DOI: 10.1055/a-1343-1597] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
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1 Rondonotti E. Artificial intelligence for polyp characterization: a challenging road ahead. Endoscopy 2021. [PMID: 34256396 DOI: 10.1055/a-1408-3489] [Reference Citation Analysis]
2 Vulpoi R, Luca M, Ciobanu A, Olteanu A, Barboi O, Drug VL. Artificial Intelligence in Digestive Endoscopy—Where Are We and Where Are We Going? Diagnostics 2022;12:927. [DOI: 10.3390/diagnostics12040927] [Reference Citation Analysis]
3 Pecere S, Milluzzo SM, Esposito G, Dilaghi E, Telese A, Eusebi LH. Applications of Artificial Intelligence for the Diagnosis of Gastrointestinal Diseases. Diagnostics (Basel) 2021;11:1575. [PMID: 34573917 DOI: 10.3390/diagnostics11091575] [Reference Citation Analysis]
4 Kader R, Hadjinicolaou AV, Georgiades F, Stoyanov D, Lovat LB. Optical diagnosis of colorectal polyps using convolutional neural networks. World J Gastroenterol 2021;27:5908-18. [PMID: 34629808 DOI: 10.3748/wjg.v27.i35.5908] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5 Okagawa Y, Abe S, Yamada M, Oda I, Saito Y. Artificial Intelligence in Endoscopy. Dig Dis Sci 2021. [PMID: 34155567 DOI: 10.1007/s10620-021-07086-z] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]