Multiview Feature Learning With Multiatlas-Based Functional Connectivity Networks for MCI Diagnosis

Keyphrases

• Alzheimer's Disease Diagnosis 12%
• Atlas-based Method 12%
• Automated Anatomical Labeling 12%
• Brain Atlas 25%
• Brain Connectome 12%
• Brain Diseases 12%
• Brain Parcellation 12%
• Brain Regions 12%
• Feature Representation 12%
• Functional Connectivity 12%
• Functional Networks 100%
• Image-based Classification 12%
• Individualized Diagnosis 12%
• Joint Feature Selection 12%
• Learning Algorithm 12%
• Learning Methods 12%
• Medical Image 12%
• Mild Cognitive Impairment 100%
• Multi-atlas 100%
• Multi-task Learning 12%
• Multi-view Learning 12%
• Multiscale Feature Learning 100%
• Network Applications 12%
• Potential Bias 12%
• Prodromal Stage 12%
• Resting-state Functional Magnetic Resonance Imaging (rs-fMRI) 25%
• Selected Features 12%
• Single View 12%
• Specific Information 12%
• Subject-specific 25%
• Support Vector Machine Classifier 12%
• Temporal Correlation 12%

Computer Science

• Feature Extraction 11%
• Feature Selection 11%
• Functional Connectivity 100%
• Functional State 22%
• Image Based Classification 11%
• Imaging Signal 11%
• Learning Algorithm 11%
• Multitask Learning 11%
• Representation Learning 100%
• Support Vector Machine 11%
• Temporal Correlation 11%

Neuroscience

• Alzheimer's Disease 11%
• Brain Disease 11%
• DNA Template 11%
• Functional Connectivity 100%
• Functional Magnetic Resonance Imaging 22%
• Mild Cognitive Impairment 100%
• Support Vector Machine 11%