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Cited by in F6Publishing
For: Chen M, Wang J, Xiao Y, Wu L, Hu S, Chen S, Yi G, Hu W, Xie X, Zhu Y, Chen Y, Yang Y, Yu H. Automated and real-time validation of gastroesophageal varices under esophagogastroduodenoscopy using a deep convolutional neural network: a multicenter retrospective study (with video). Gastrointestinal Endoscopy 2021;93:422-432.e3. [DOI: 10.1016/j.gie.2020.06.058] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Zuckerman MJ, Elhanafi S, Mendoza Ladd A. Endoscopic Treatment of Esophageal Varices. Clin Liver Dis 2022;26:21-37. [PMID: 34802661 DOI: 10.1016/j.cld.2021.08.003] [Reference Citation Analysis]
2 Li X, Kang N, Qi X, Huang Y. Artificial intelligence in the diagnosis of cirrhosis and portal hypertension. J Med Ultrason (2001) 2021. [PMID: 34787742 DOI: 10.1007/s10396-021-01153-8] [Reference Citation Analysis]
3 Bang CS. Artificial Intelligence in the Analysis of Upper Gastrointestinal Disorders. Korean J Helicobacter Up Gastrointest Res 2021;21:300-10. [DOI: 10.7704/kjhugr.2021.0030] [Reference Citation Analysis]
4 Oh CK, Kim T, Cho YK, Cheung DY, Lee BI, Cho YS, Kim JI, Choi MG, Lee HH, Lee S. Convolutional neural network-based object detection model to identify gastrointestinal stromal tumors in endoscopic ultrasound images. J Gastroenterol Hepatol 2021. [PMID: 34369001 DOI: 10.1111/jgh.15653] [Reference Citation Analysis]
5 Xu M, Zhou W, Wu L, Zhang J, Wang J, Mu G, Huang X, Li Y, Yuan J, Zeng Z, Wang Y, Huang L, Liu J, Yu H. Artificial intelligence in diagnosis of gastric precancerous conditions by image-enhanced endoscopy: a multicenter, diagnostic study (with video). Gastrointest Endosc. 2021;. [PMID: 33722576 DOI: 10.1016/j.gie.2021.03.013] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]