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Cited by in F6Publishing
For: Leenhardt R, Souchaud M, Houist G, Le Mouel JP, Saurin JC, Cholet F, Rahmi G, Leandri C, Histace A, Dray X. A neural network-based algorithm for assessing the cleanliness of small bowel during capsule endoscopy. Endoscopy 2021;53:932-6. [PMID: 33137834 DOI: 10.1055/a-1301-3841] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Dray X, Toth E, de Lange T, Koulaouzidis A. Artificial intelligence, capsule endoscopy, databases, and the Sword of Damocles. Endosc Int Open 2021;9:E1754-5. [PMID: 34790540 DOI: 10.1055/a-1521-4882] [Reference Citation Analysis]
2 Kröner PT, Engels MM, Glicksberg BS, Johnson KW, Mzaik O, van Hooft JE, Wallace MB, El-Serag HB, Krittanawong C. Artificial intelligence in gastroenterology: A state-of-the-art review. World J Gastroenterol 2021; 27(40): 6794-6824 [PMID: 34790008 DOI: 10.3748/wjg.v27.i40.6794] [Reference Citation Analysis]
3 Wang Y, Tan H, Yu T, Ma X, Chen X, Jing F, Zou L, Shi H. The identification of gene signatures in patients with extranodal NK/T-cell lymphoma from a pair of twins. BMC Cancer 2021;21:1303. [PMID: 34872521 DOI: 10.1186/s12885-021-09023-9] [Reference Citation Analysis]
4 Qin K, Li J, Fang Y, Xu Y, Wu J, Zhang H, Li H, Liu S, Li Q. Convolution neural network for the diagnosis of wireless capsule endoscopy: a systematic review and meta-analysis. Surg Endosc 2021. [PMID: 34426876 DOI: 10.1007/s00464-021-08689-3] [Reference Citation Analysis]
5 Oh DJ, Hwang Y, Lim YJ. A Current and Newly Proposed Artificial Intelligence Algorithm for Reading Small Bowel Capsule Endoscopy. Diagnostics (Basel) 2021;11:1183. [PMID: 34209948 DOI: 10.3390/diagnostics11071183] [Reference Citation Analysis]