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Neuroscience Bulletin|March 16, 2024
SMART (Splitting-Merging Assisted Reliable) Independent Component Analysis for Extracting Accurate Brain Functional NetworksXingyu He, Vince D Calhoun, Yuhui Du
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
SMART (splitting-merging assisted reliable) Independent Component Analysis for Brain Functional NetworksYuhui Du, Xingyu He, Vince D Calhoun
Trends in Neurosciences|June 21, 2024
A survey of brain functional network extraction methods using fMRI dataYuhui Du, Songke Fang, Xingyu He, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 12, 2023
How Does Aging Affect Whole-brain Functional Network Connectivity? Evidence from An ICA MethodYuhui Du, Yating Guo, Vince D Calhoun
Frontiers in Neuroscience|August 22, 2018
Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but ChallengingYuhui Du, Zening Fu, Vince D Calhoun
IEEE Journal of Biomedical and Health Informatics|July 18, 2025
Group Information Guided Smooth Independent Component Analysis Method for Multi-Subject fMRI Data AnalysisYuhui Du, Chen Huang, Vince D Calhoun
Frontiers in Aging Neuroscience|June 5, 2023
Aging brain shows joint declines in brain within-network connectivity and between-network connectivity: a large-sample study (Yuhui Du, Yating Guo, Vince D Calhoun
IEEE Journal of Biomedical and Health Informatics|November 26, 2025
An orthogonal semi-nonnegative matrix factorization method for dynamic functional connectivity analysis and its application to schizophreniaXingyu He, Vince D Calhoun, Godfrey D Pearlson, et al.
Research (Washington, D.C.)|September 29, 2025
Joint Aging Patterns in Brain Function and Structure Revealed Using 27,793 SamplesYuhui Du, Ruotong Li, Ying Xing, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Multimodal Data Fusion of Deep Learning and Dynamic Functional Connectivity Features to Predict Alzheimer's Disease Progression.Anees Abrol, Zening Fu, Yuhui Du, et al.
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