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  • School of Computer Science and Technology, Beijing Institute of Technology

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The feasibility of an optimized Faster R-CNN in detection and differentiation HT from PTMC Using high b-value DWI with RESOLVE

Author:ChengLong Deng  BingChao Wu  QingJun Wang  Qinglei Shi  Bei Guan  DaCheng Qu  YongJi Wang*  

Session Type:Oral  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Program Number:0605  

Room Session:Concurrent 6  

Institution:Collaborative Innovation Center, Institute of Software, Chinese Academy of Sciences  Department of Radiology, PLA 6th medical center  MR Scientific Marketing, Siemens Healthcare  School of Computer Science and Technology, Beijing Institute of Technology  State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences  University of Chinese Academy of Sciences  

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MRI-ASL Perfusion patterns may predict deep brain stimulation outcome in de novo Parkinson's Disease

Author:Hanyu Wei  Le He  Rongsong Zhou  Shuo Chen  Miaoqi Zhang  Wenwen Chen  Xuesong Li  Yu Ma  Rui Li  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Artificial Intelligence (Machine Learning & Deep Learning) Applications to Neuroradiology  

Session Name:Explorations of AI in Neuroimaging  

Program Number:3278  

Room Session:Concurrent 6  

Institution:School of Computer Science and Technology, Beijing Institute of Technology  Tsinghua University  Tsinghua University Yuquan Hospital  

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