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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
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
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
Frontiers in Neuroscience|August 22, 2018
Classification and Prediction of Brain Disorders Using Functional Connectivity: Promising but ChallengingYuhui Du, Zening Fu, Vince D Calhoun
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
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
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<sup>.</sup>Anees Abrol, Zening Fu, Yuhui Du, et al.
Psychoradiology|May 25, 2026
Investigating biotypes and neural characteristics among anxiety, depression, and comorbidity via a novel noisy label learning methodYuhui Du, Wei Huang, Yulong Wang, et al.
ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine|December 28, 2020
A deep learning fusion model for brain disorder classification: Application to distinguishing schizophrenia and autism spectrum disorderYuhui Du, Bang Li, Yuliang Hou, et al.
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