Boundary Mapping Through Manifold Learning for Connectivity-Based Cortical Parcellation.
Salim ArslanSarah ParisotDaniel RueckertPublished in: MICCAI (1) (2016)
Keyphrases
- manifold learning
- cortical regions
- cortical surface
- cerebral cortex
- cortical areas
- low dimensional
- dimensionality reduction
- embedding space
- nonlinear dimensionality reduction
- laplacian eigenmaps
- cortical thickness
- latent space
- diffusion maps
- feature extraction
- high dimensional data
- dimension reduction
- subspace learning
- manifold structure
- semi supervised
- sparse representation
- head pose estimation
- high dimensional
- geodesic distance
- riemannian manifolds
- locally linear embedding
- pattern recognition
- feature selection
- least squares
- low dimensional manifolds
- pairwise
- feature space
- nonlinear manifold
- image processing