Feng Shi is affiliated with United Imaging Intelligence (China) and has a research focus predominantly in the field of medicine, with a strong emphasis on radiology, nuclear medicine, and imaging. Their scholarly output includes contributions to computer vision and pattern recognition, pulmonary and respiratory medicine, neurology, and artificial intelligence.
Their work extensively covers topics related to radiomics and machine learning in medical imaging, COVID-19 diagnosis using AI, functional brain connectivity studies, advanced neuroimaging techniques and applications, medical image segmentation techniques, advanced X-ray and CT imaging, and brain tumor detection and classification.
Frequent publication venues for their work include the following:
Notable recent papers authored or co-authored by Feng Shi are:
Feng Shi has collaborated frequently with several researchers, including:
Feng Shi;Jun Wang;Jun Shi;Ziyan Wu
Spyridon Bakas;Mauricio Reyes;Andras Jakab;Stefan Bauer
Feng Shi;Pew Thian Yap;Guorong Wu;Hongjun Jia
Feng Shi;Bing Liu;Yuan Zhou;Chunshui Yu
Yuhua Chen;Yibin Xie;Zhengwei Zhou;Feng Shi
Feng Shi;Liming Xia;Fei Shan;Dijia Wu
Yuhua Chen;Yuhua Chen;Feng Shi;Anthony G. Christodoulou;Yibin Xie
Xi Ouyang;Jiayu Huo;Liming Xia;Fei Shan
Feng Shi;Jian Cheng;Li Wang;Pew-Thian Yap
Li Wang;Yaozong Gao;Feng Shi;Gang Li
Jiefeng Jiang;Wanlin Zhu;Wanlin Zhu;Feng Shi;Yong Liu
Yong Fan;Feng Shi;Jeffrey Keith Smith;Weili Lin
Feng Shi;Liming Xia;Fei Shan;Bin Song
Hengyuan Kang;Liming Xia;Fuhua Yan;Zhibin Wan
Feng Shi;Yong Fan;Songyuan Tang;John H. Gilmore
Liang Sun;Zhanhao Mo;Fuhua Yan;Liming Xia
Yang Li;Yaping Wang;Yaping Wang;Guorong Wu;Feng Shi
Gang Li;Jingxin Nie;Li Wang;Feng Shi
Li Wang;Feng Shi;Gang Li;Yaozong Gao
Gang Li;Li Wang;Pew Thian Yap;Fan Wang
Zhenyu Tang;Wei Zhao;Xingzhi Xie;Zheng Zhong
Jamie L. Hanson;Nicole Hair;Dinggang G. Shen;Feng Shi
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