Your browser doesn't support javascript.
loading
Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis.
Li, Lanting; Wen, Guangqi; Cao, Peng; Liu, Xiaoli; R Zaiane, Osmar; Yang, Jinzhu.
Affiliation
  • Li L; College of Computer Science and Engineering, Northeastern University, Shenyang, China.
  • Wen G; Key Laboratory of Intelligent Computing in Medical Image, Northeastern University, Shenyang, China.
  • Cao P; College of Computer Science and Engineering, Northeastern University, Shenyang, China.
  • Liu X; Key Laboratory of Intelligent Computing in Medical Image, Northeastern University, Shenyang, China.
  • R Zaiane O; College of Computer Science and Engineering, Northeastern University, Shenyang, China. caopeng@cse.neu.edu.cn.
  • Yang J; Key Laboratory of Intelligent Computing in Medical Image, Northeastern University, Shenyang, China. caopeng@cse.neu.edu.cn.
Int J Comput Assist Radiol Surg ; 18(4): 663-673, 2023 Apr.
Article in En | MEDLINE | ID: mdl-36333597
Subject(s)
Key words
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Autism Spectrum Disorder Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Int J Comput Assist Radiol Surg Journal subject: RADIOLOGIA Year: 2023 Type: Article Affiliation country: China
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Database: MEDLINE Main subject: Autism Spectrum Disorder Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Int J Comput Assist Radiol Surg Journal subject: RADIOLOGIA Year: 2023 Type: Article Affiliation country: China