Functional Connectivity Networks with Latent Distributions for Mild Cognitive Impairment Identification.
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 it as a confidence distribution in the...
| Published in: | Journal of Digital Imaging Vol. 36; no. 5; pp. 2113 - 2125 |
|---|---|
| Main Authors: | , , , |
| Format: | equations & formulas pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Oct2023
|
| Online Access: | View this record in EBSCOhost |