189 citations · 719 across the 19 of their papers we have counts for
4 papers · 1 filter
BICNet: A Bayesian Approach for Estimating Task Effects on Intrinsic Connectivity Networks in fMRI Data
Meini Tang, Chee-Ming Ting, Hernando Ombao
Intrinsic connectivity networks (ICNs) are specific dynamic functional brain networks that are consistently found under various conditions including rest and task. Studies have sho…
Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification
Fuad Noman, Chee-Ming Ting, Hakmook Kang +4
Brain functional connectivity (FC) reveals biomarkers for identification of various neuropsychiatric disorders. Recent application of deep neural networks (DNNs) to connectome-base…
Markov-Switching State-Space Models with Applications to Neuroimaging
David Degras, Chee-Ming Ting, Hernando Ombao
State-space models (SSM) with Markov switching offer a powerful framework for detecting multiple regimes in time series, analyzing mutual dependence and dynamics within regimes, an…
Separating Stimulus-Induced and Background Components of Dynamic Functional Connectivity in Naturalistic fMRI
Chee-Ming Ting, Jeremy I. Skipper, Steven L. Small +1
We consider the challenges in extracting stimulus-related neural dynamics from other intrinsic processes and noise in naturalistic functional magnetic resonance imaging (fMRI). Mos…