Developing Novel Weighted Correlation Kernels for Convolutional Neural Networks to Extract Hierarchical Functional Connectivities from fMRI for Disease Diagnosis.
Biao JieMingxia LiuChunfeng LianFeng ShiDinggang ShenPublished in: MLMI@MICCAI (2018)
Keyphrases
- disease diagnosis
- convolutional neural networks
- convolutional network
- activation patterns
- comparative analysis
- functional mri
- kernel function
- human brain
- functional connectivity
- resting state fmri
- database
- support vector
- brain regions
- free text
- functional magnetic resonance imaging
- activation detection
- heart disease
- spatial correlation
- coarse to fine
- website
- data mining