A hybrid of deep network and hidden markov model for MCI identification with resting-state fMRI

Keyphrases

• Hidden Markov Model 100%
• Mild Cognitive Impairment 100%
• Resting-state Functional Magnetic Resonance Imaging (rs-fMRI) 100%
• Deep Network 100%
• Deep Autoencoder 66%
• Healthy Controls 33%
• State Change 33%
• State-of-the-art Techniques 33%
• Dynamic Characteristics 33%
• Cognitively Normal 33%
• Generative Models 33%
• Model Dynamics 33%
• Nonlinear Relation 33%
• Low Dimension 33%
• Internal State 33%
• Dimension Space 33%
• Functional Dynamics 33%
• Hybrid Architecture 33%
• Data Likelihood 33%

Computer Science

• Deep Autoencoder 100%