Functional Connectivity Networks with Latent Distributions for Mild Cognitive Impairment Identification
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This work presents a novel approach to estimate brain functional connectivity networks via generative learning. Due to the complexity and variability of rs-fMRI signal, we consider it as a random variable, and utilize variational autoencoder networks to encode... ...
