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Yan Bai
Researcher at Zhengzhou University
Publications - 36
Citations - 5315
Yan Bai is an academic researcher from Zhengzhou University. The author has contributed to research in topics: Magnetic resonance imaging & Susceptibility weighted imaging. The author has an hindex of 13, co-authored 36 publications receiving 3876 citations. Previous affiliations of Yan Bai include Henan University.
Papers
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Journal ArticleDOI
Presumed Asymptomatic Carrier Transmission of COVID-19.
TL;DR: This study describes possible transmission of novel coronavirus disease 2019 (COVID-19) from an asymptomatic Wuhan resident to 5 family members in Anyang, a Chinese city in the neighboring province of Hubei.
Journal ArticleDOI
A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis.
Shuo Wang,Yunfei Zha,Weimin Li,Qingxia Wu,Xiaohu Li,Meng Niu,Meiyun Wang,Xiaoming Qiu,Hongjun Li,He Yu,Wei Gong,Yan Bai,Li Li,Yongbei Zhu,Liusu Wang,Jie Tian +15 more
TL;DR: A fully automatic deep learning system is proposed for COVID-19 diagnostic and prognostic analysis by routinely used computed tomography that automatically focused on abnormal areas that showed consistent characteristics with reported radiological findings.
Posted ContentDOI
A Fully Automatic Deep Learning System for COVID-19 Diagnostic and Prognostic Analysis
Shuo Wang,Yunfei Zha,Weimin Li,Qingxia Wu,Xiaohu Li,Meng Niu,Meiyun Wang,Xiaoming Qiu,Hongjun Li,He Yu,Wei Gong,Yan Bai,Li Li,Yongbei Zhu,Liusu Wang,Jie Tian,Jie Tian +16 more
TL;DR: Deep learning provides a convenient tool for fast screening COVID-19 and finding potential high-risk patients, which may be helpful for medical resource optimization and early prevention before patients show severe symptoms.
Journal ArticleDOI
Grading of Gliomas by Using Monoexponential, Biexponential, and Stretched Exponential Diffusion-weighted MR Imaging and Diffusion Kurtosis MR Imaging
Yan Bai,Yusong Lin,Jie Tian,Dapeng Shi,Jingliang Cheng,E. Mark Haacke,Xiaohua Hong,Bo Ma,Jinyuan Zhou,Meiyun Wang,Meiyun Wang +10 more
TL;DR: Water molecular diffusion heterogeneity index and mean kurtosis values may provide additional information and improve the grading of gliomas compared with conventional diffusion parameters.