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Cited by in F6Publishing
For: Attardo S, Chandrasekar VT, Spadaccini M, Maselli R, Patel HK, Desai M, Capogreco A, Badalamenti M, Galtieri PA, Pellegatta G, Fugazza A, Carrara S, Anderloni A, Occhipinti P, Hassan C, Sharma P, Repici A. Artificial intelligence technologies for the detection of colorectal lesions: The future is now. World J Gastroenterol 2020; 26(37): 5606-5616 [PMID: 33088155 DOI: 10.3748/wjg.v26.i37.5606] [Cited by in CrossRef: 12] [Cited by in F6Publishing: 9] [Article Influence: 6.0] [Reference Citation Analysis]
Number Citing Articles
1 Rao B H, Trieu JA, Nair P, Gressel G, Venu M, Venu RP. Artificial intelligence in endoscopy: More than what meets the eye in screening colonoscopy and endosonographic evaluation of pancreatic lesions. Artif Intell Gastrointest Endosc 2022; 3(3): 16-30 [DOI: 10.37126/aige.v3.i3.16] [Reference Citation Analysis]
2 Luca M, Ciobanu A, Balas VE. Polyp detection in video colonoscopy using deep learning. IFS 2022;43:1751-9. [DOI: 10.3233/jifs-219276] [Reference Citation Analysis]
3 Spadaccini M, Vespa E, Chandrasekar VT, Desai M, Patel HK, Maselli R, Fugazza A, Carrara S, Anderloni A, Franchellucci G, De Marco A, Hassan C, Bhandari P, Sharma P, Repici A. Advanced imaging and artificial intelligence for Barrett's esophagus: What we should and soon will do . World J Gastroenterol 2022; 28(11): 1113-1122 [DOI: 10.3748/wjg.v28.i11.1113] [Cited by in CrossRef: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Ho C, Zhao Z, Chen XF, Sauer J, Saraf SA, Jialdasani R, Taghipour K, Sathe A, Khor LY, Lim KH, Leow WQ. A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer. Sci Rep 2022;12:2222. [PMID: 35140318 DOI: 10.1038/s41598-022-06264-x] [Cited by in Crossref: 5] [Cited by in F6Publishing: 2] [Article Influence: 5.0] [Reference Citation Analysis]
5 Chang Y, Li P, Chang R, Chang Y, Huang S, Chen Y, Chang W, Yen H. Development and validation of a deep learning-based algorithm for colonoscopy quality assessment. Surg Endosc. [DOI: 10.1007/s00464-021-08993-y] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
6 Spadaccini M, Marco A, Franchellucci G, Sharma P, Hassan C, Repici A. Discovering the first FDA-approved computer-aided polyp detection system. Future Oncol 2022. [PMID: 35081745 DOI: 10.2217/fon-2021-1135] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
7 Kim JH, Nam SJ, Park SC. Usefulness of artificial intelligence in gastric neoplasms. World J Gastroenterol 2021; 27(24): 3543-3555 [PMID: 34239268 DOI: 10.3748/wjg.v27.i24.3543] [Cited by in CrossRef: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]
8 Yen H, Wu P, Su P, Yang C, Chen Y, Chen M, Lin W, Tsai C, Lin K. Performance Comparison of the Deep Learning and the Human Endoscopist for Bleeding Peptic Ulcer Disease. J Med Biol Eng 2021;41:504-13. [DOI: 10.1007/s40846-021-00608-0] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 9.0] [Reference Citation Analysis]
9 Jubair F, Al-Karadsheh O, Malamos D, Al Mahdi S, Saad Y, Hassona Y. A novel lightweight deep convolutional neural network for early detection of oral cancer. Oral Dis 2021. [PMID: 33636041 DOI: 10.1111/odi.13825] [Cited by in Crossref: 2] [Cited by in F6Publishing: 12] [Article Influence: 2.0] [Reference Citation Analysis]