Node-Based Gaussian Graphical Model for Identifying Discriminative Brain Regions from Connectivity Graphs.
Bernard NgAnna-Clare MilazzoAndré AltmannPublished in: MLMI (2015)
Keyphrases
- graphical models
- brain regions
- graph structure
- human brain
- brain images
- belief propagation
- probabilistic model
- functional connectivity
- random variables
- probabilistic graphical models
- markov networks
- graphical structure
- gaussian graphical models
- undirected graph
- bayesian networks
- brain activity
- diffusion tensor imaging
- directed graph
- approximate inference
- conditional independence
- semi supervised
- conditional random fields
- resting state fmri
- brain tissue
- functional magnetic resonance imaging
- maximum likelihood
- white matter
- pattern classification
- information processing
- cognitive states
- image registration
- data analysis
- feature extraction
- feature selection