Deep learning-based magnetic resonance imaging analysis for chronic cerebral hypoperfusion risk.

Abstract

Authors

• Meiyi Yang
  Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, Zhejiang, China.
• Lili Yang
  Hunan Province Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, University of South China, Hengyang 421001, China.
• Qi Zhang
  Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.
• Lifeng Xu
• Bo Yang
  Center for Cognition and Brain Disorders, Hangzhou Normal University, Hangzhou, Zhejiang Province 311121, China.
• Yingjie Li
  School of Communication and Information Engineering, Shanghai University, China.
• Xudong Cheng
  Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
• Feng Zhang
  Institute of Food Safety, Chinese Academy of Inspection and Quarantine, Beijing 100176, China; Key Laboratory of Food Quality and Safety for State Market Regulation, Beijing 100176, China. Electronic address: fengzhang@126.com.
• Ming Liu
  School of Land Engineering, Chang'an University, Xi'an 710064, China; Xi'an Key Laboratory of Territorial Spatial Information, School of Land Engineering, Chang'an University, Xi'an 710064, China. Electronic address: mingliu@chd.edu.cn.
• Nengwei Yu
  Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.

Keywords

External Resources