Tractography-Based Parcellation of the Cortex Using a Spatially-Informed Dimension Reduction of the Connectivity Matrix.
Pauline RocaDenis RivièrePamela GuevaraCyril PouponJean-François ManginPublished in: MICCAI (1) (2009)
Keyphrases
- dimension reduction
- white matter
- cortical regions
- singular value decomposition
- human brain
- brain connectivity
- cortical surface
- cerebral cortex
- qr decomposition
- fiber bundles
- cortical areas
- diffusion mri
- diffusion tensor imaging
- feature extraction
- cortical thickness
- resting state fmri
- high dimensional
- high dimensional problems
- magnetic resonance images
- manifold learning
- linear discriminant analysis
- principal component analysis
- random projections
- feature selection
- diffusion tensor
- discriminative information
- brain images
- low dimensional
- high dimensionality
- preprocessing
- feature space
- information processing
- cluster analysis
- null space
- dt mri
- functional magnetic resonance imaging
- high dimensional data
- brain regions
- unsupervised learning
- dimensionality reduction
- diffusion tensor images
- support vector
- computer vision
- image data
- association rules