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Cited by in F6Publishing
For: Ruan G, Qi J, Cheng Y, Liu R, Zhang B, Zhi M, Chen J, Xiao F, Shen X, Fan L, Li Q, Li N, Qiu Z, Xiao Z, Xu F, Lv L, Chen M, Ying S, Chen L, Tian Y, Li G, Zhang Z, He M, Qiao L, Zhang Z, Chen D, Cao Q, Nian Y, Wei Y. Development and Validation of a Deep Neural Network for Accurate Identification of Endoscopic Images From Patients With Ulcerative Colitis and Crohn's Disease. Front Med 2022;9:854677. [DOI: 10.3389/fmed.2022.854677] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Park J, Hwang Y, Kim HG, Lee JS, Kim J, Lee TH, Jeon SR, Hong SJ, Ko BM, Kim S. Reduced detection rate of artificial intelligence in images obtained from untrained endoscope models and improvement using domain adaptation algorithm. Front Med 2022;9. [DOI: 10.3389/fmed.2022.1036974] [Reference Citation Analysis]
2 Liu J, Varghese B, Taravat F, Eibschutz LS, Gholamrezanezhad A. An Extra Set of Intelligent Eyes: Application of Artificial Intelligence in Imaging of Abdominopelvic Pathologies in Emergency Radiology. Diagnostics 2022;12:1351. [DOI: 10.3390/diagnostics12061351] [Reference Citation Analysis]