Tetrahedral spectral feature-Based bayesian manifold learning for grey matter morphometry: Findings from the Alzheimer's disease neuroimaging initiative.
Yonghui FanGang WangQunxi DongYuxiang LiuNatasha LeporéYalin WangPublished in: Medical Image Anal. (2021)
Keyphrases
- manifold learning
- magnetic resonance images
- white matter
- disease progression
- multiple sclerosis
- brain images
- human brain
- low dimensional
- dimensionality reduction
- corpus callosum
- semi supervised
- high dimensional
- feature extraction
- cortical surface
- high dimensional data
- dimension reduction
- preliminary study
- mr images
- image features
- gray matter
- pattern recognition
- inter subject
- diffusion tensor imaging
- brain structures
- magnetic resonance
- shape analysis
- sparse representation
- diffusion tensor
- feature selection
- information processing