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mTBI-DSANet: A deep self-attention model for diagnosing mild traumatic brain injury using multi-level functional connectivity networks.
Teng, Jing; Mi, Chunlin; Liu, Wuyi; Shi, Jian; Li, Na.
Affiliation
  • Teng J; School of Control and Computer Engineering, North China Electric Power University, Beijing, China. Electronic address: Jing.Teng@ncepu.edu.cn.
  • Mi C; School of Control and Computer Engineering, North China Electric Power University, Beijing, China. Electronic address: Micl_920@ncepu.edu.cn.
  • Liu W; School of Control and Computer Engineering, North China Electric Power University, Beijing, China. Electronic address: 120202227093@ncepu.edu.cn.
  • Shi J; Department of Hematology and Critical Care Medicine, The Third Xiangya Hospital of Central South University, Changsha, China.
  • Li N; Department of Radiology, The Third Xiangya Hospital of Central South University, Changsha, China. Electronic address: lina2864@csu.edu.cn.
Comput Biol Med ; 152: 106354, 2023 01.
Article in En | MEDLINE | ID: mdl-36481760
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Concussion Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Comput Biol Med Year: 2023 Document type: Article
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain Concussion Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Comput Biol Med Year: 2023 Document type: Article