Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Dongli Shi

Showing results (11-20 of 13) with videos related to

Pageof 2
Sort By:
You have reached the last page of results.This site can display upto 13 results.
Frontiers in Computational Neuroscience|October 24, 2022
Method for persistent topological features extraction of schizophrenia patients' electroencephalography signal based on persistent homologyGuangxing Guo, Yanli Zhao, Chenxu Liu, et al.
Scientific Reports|February 2, 2026
Analysis and prediction of schizophrenia patients based on high-order graph attention generative adversarial networksGuimei Yin, Mengzhen Yin, Guangxing Guo, et al.
Asian Journal of Psychiatry|July 7, 2023
Automatic recognition of schizophrenia from brain-network features using graph convolutional neural networkGuimei Yin, Ying Chang, Yanli Zhao, et al.
Pageof 2

Showing results (11-20 of 13) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 13 results.
Frontiers in Computational Neuroscience|October 24, 2022
Method for persistent topological features extraction of schizophrenia patients' electroencephalography signal based on persistent homologyGuangxing Guo, Yanli Zhao, Chenxu Liu, et al.
Scientific Reports|February 2, 2026
Analysis and prediction of schizophrenia patients based on high-order graph attention generative adversarial networksGuimei Yin, Mengzhen Yin, Guangxing Guo, et al.
Asian Journal of Psychiatry|July 7, 2023
Automatic recognition of schizophrenia from brain-network features using graph convolutional neural networkGuimei Yin, Ying Chang, Yanli Zhao, et al.
Pageof 2