Real-time automatic detection system increases colonoscopic polyp and adenoma detection rates: a prospective randomised controlled studyPu Wang, Xiaogang Liu, Yi Li et al.|Gut|2019Cited by 817
Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopyPu Wang, Xiaogang Liu, Xiao Xiao et al.|Nature Biomedical Engineering|2018Cited by 491
Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised studyPu Wang, Guanyu Zhou, Xiaogang Liu et al.|The Lancet. Gastroenterology & hepatology|2020Cited by 404
Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem StudyPu Wang, Xun Xiao, Peixi Liu et al.|Gastroenterology|2020Cited by 216
The single-monitor trial: an embedded CADe system increased adenoma detection during colonoscopy: a prospective randomized studyPeixi Liu, Xiaogang Liu, Pu Wang et al.|Therapeutic Advances in Gastroenterology|2020Cited by 82