research
∙
05/30/2021
A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes
We propose a novel matrix autoencoder to map functional connectomes from...
share
research
∙
07/03/2020
A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism
We propose an integrated deep-generative framework, that jointly models ...
research
∙
07/03/2020
Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data
We propose a unified optimization framework that combines neural network...
research
∙
07/03/2020
