BrainUSL: Unsupervised Graph Structure Learning for Functional Brain Network Analysis.
Pengshuai ZhangGuangqi WenPeng CaoJinzhu YangJinyu ZhangXizhe ZhangXinrong ZhuOsmar R. ZaïaneFei WangPublished in: MICCAI (8) (2023)
Keyphrases
- network analysis
- structure learning
- network structure
- functional brain
- small world
- dynamic networks
- graph theory
- social network analysis
- bayesian networks
- graphical models
- complex networks
- link prediction
- social networks
- human brain
- conditional independence
- network dynamics
- unsupervised learning
- random walk
- text mining
- parameter estimation
- transfer learning
- community detection
- directed acyclic graph
- directed graph
- supervised learning
- protein protein interactions
- real world networks
- markov networks
- mr imaging
- data sets
- belief propagation
- sample size
- semi supervised
- artificial intelligence
- machine learning
- random variables
- least squares
- image processing
- computer vision