60 citations · 353 across the 40 of their papers we have counts for
4 papers · 1 filter
Distance Correlation Based Brain Functional Connectivity Estimation and Non-Convex Multi-Task Learning for Developmental fMRI Studies
Li Xiao, Biao Cai, Gang Qu +4
Resting-state functional magnetic resonance imaging (rs-fMRI)-derived functional connectivity patterns have been extensively utilized to delineate global functional organization of…
A Manifold Regularized Multi-Task Learning Model for IQ Prediction from Multiple fMRI Paradigms
Li Xiao, Julia M. Stephen, Tony W. Wilson +2
Multi-modal brain functional connectivity (FC) data have shown great potential for providing insights into individual variations in behavioral and cognitive traits. The joint learn…
Learning Schizophrenia Imaging Genetics Data Via Multiple Kernel Canonical Correlation Analysis
Owen Richfield, Md. Ashad Alam, Vince Calhoun +1
Kernel and Multiple Kernel Canonical Correlation Analysis (CCA) are employed to classify schizophrenic and healthy patients based on their SNPs, DNA Methylation and fMRI data. Kern…
MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics
William Gray Roncal, Zachary H. Koterba, Disa Mhembere +10
Currently, connectomes (e.g., functional or structural brain graphs) can be estimated in humans at scale using a combination of diffusion weighted magnetic resonan…