Improving functional connectivity detection in FMRI by combining sparse dictionary learning and canonical correlation analysis.
Muhammad Usman KhalidAbd-Krim SeghouanePublished in: ISBI (2013)
Keyphrases
- dictionary learning
- canonical correlation analysis
- functional connectivity
- sparse representation
- sparse coding
- functional magnetic resonance imaging
- resting state fmri
- least squares
- partial least squares
- image classification
- brain regions
- pattern recognition
- generative model
- high dimensional
- high dimensional data
- human brain
- linear combination
- signal processing
- image features
- data analysis
- multiscale