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

Guangqi Wen

Showing results (1-10 of 13) with videos related to

Pageof 2
Sort By:
Medical & Biological Engineering & Computing|May 6, 2022
Modeling the dynamic brain network representation for autism spectrum disorder diagnosisPeng Cao, Guangqi Wen, Xiaoli Liu, et al.
Computer Methods and Programs in Biomedicine|April 8, 2022
Collaborative learning of graph generation, clustering and classification for brain networks diagnosisWenju Yang, Guangqi Wen, Peng Cao, et al.
Medical & Biological Engineering & Computing|May 8, 2026
BrainUMA: A Unified multi-atlas learning framework for brain disorders diagnosisMaochun Hao, Peng Cao, Guangqi Wen, et al.
Computers in Biology and Medicine|January 23, 2022
MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosisGuangqi Wen, Peng Cao, Huiwen Bao, et al.
International Journal of Computer Assisted Radiology and Surgery|November 5, 2022
Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosisLanting Li, Guangqi Wen, Peng Cao, et al.
Computers in Biology and Medicine|January 11, 2023
BrainTGL: A dynamic graph representation learning model for brain network analysisLingwen Liu, Guangqi Wen, Peng Cao, et al.
IEEE Journal of Biomedical and Health Informatics|May 9, 2023
Graph Self-Supervised Learning With Application to Brain Networks AnalysisGuangqi Wen, Peng Cao, Lingwen Liu, et al.
Computer Methods and Programs in Biomedicine|October 10, 2025
BrainOSM: Outlier screening for multi-view functional brain network analysisGuiliang Guo, Guangqi Wen, Lingwen Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
Exploring Attention and Self-Supervised Learning Mechanism for Graph Similarity LearningGuangqi Wen, Xin Gao, Wenhui Tan, et al.
Neuroinformatics|November 11, 2021
TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder DiagnosisLanting Li, Hao Jiang, Guangqi Wen, et al.
Pageof 2

Showing results (1-10 of 13) with videos related to

Sort By:
Pageof 2
Medical & Biological Engineering & Computing|May 6, 2022
Modeling the dynamic brain network representation for autism spectrum disorder diagnosisPeng Cao, Guangqi Wen, Xiaoli Liu, et al.
Computer Methods and Programs in Biomedicine|April 8, 2022
Collaborative learning of graph generation, clustering and classification for brain networks diagnosisWenju Yang, Guangqi Wen, Peng Cao, et al.
Medical & Biological Engineering & Computing|May 8, 2026
BrainUMA: A Unified multi-atlas learning framework for brain disorders diagnosisMaochun Hao, Peng Cao, Guangqi Wen, et al.
Computers in Biology and Medicine|January 23, 2022
MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for autism spectrum disorder diagnosisGuangqi Wen, Peng Cao, Huiwen Bao, et al.
International Journal of Computer Assisted Radiology and Surgery|November 5, 2022
Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosisLanting Li, Guangqi Wen, Peng Cao, et al.
Computers in Biology and Medicine|January 11, 2023
BrainTGL: A dynamic graph representation learning model for brain network analysisLingwen Liu, Guangqi Wen, Peng Cao, et al.
IEEE Journal of Biomedical and Health Informatics|May 9, 2023
Graph Self-Supervised Learning With Application to Brain Networks AnalysisGuangqi Wen, Peng Cao, Lingwen Liu, et al.
Computer Methods and Programs in Biomedicine|October 10, 2025
BrainOSM: Outlier screening for multi-view functional brain network analysisGuiliang Guo, Guangqi Wen, Lingwen Liu, et al.
IEEE Transactions on Neural Networks and Learning Systems|March 3, 2025
Exploring Attention and Self-Supervised Learning Mechanism for Graph Similarity LearningGuangqi Wen, Xin Gao, Wenhui Tan, et al.
Neuroinformatics|November 11, 2021
TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder DiagnosisLanting Li, Hao Jiang, Guangqi Wen, et al.
Pageof 2