Yuhui Du
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Group information guided ICA for fMRI data analysis
Y Du, Y Fan
Neuroimage 69, 157-197, 2013
Classification and prediction of brain disorders using functional connectivity: promising but challenging
Y Du, Z Fu, VD Calhoun
Frontiers in neuroscience 12, 525, 2018
Assessing dynamic brain graphs of time-varying connectivity in fMRI data: application to healthy controls and patients with schizophrenia
Q Yu, EB Erhardt, J Sui, Y Du, H He, D Hjelm, MS Cetin, S Rachakonda, ...
Neuroimage 107, 345-355, 2015
NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders
Y Du, Z Fu, J Sui, S Gao, Y Xing, D Lin, M Salman, A Abrol, MA Rahaman, ...
NeuroImage: Clinical 28, 102375, 2020
Interaction among subsystems within default mode network diminished in schizophrenia patients: a dynamic connectivity approach
Y Du, GD Pearlson, Q Yu, H He, D Lin, J Sui, L Wu, VD Calhoun
Schizophrenia research 170 (1), 55-65, 2016
Characterizing dynamic amplitude of low-frequency fluctuation and its relationship with dynamic functional connectivity: an application to schizophrenia
Z Fu, Y Tu, X Di, Y Du, GD Pearlson, JA Turner, BB Biswal, Z Zhang, ...
Neuroimage 180, 619-631, 2018
In search of multimodal neuroimaging biomarkers of cognitive deficits in schizophrenia
J Sui, GD Pearlson, Y Du, Q Yu, TR Jones, J Chen, T Jiang, J Bustillo, ...
Biological psychiatry 78 (11), 794-804, 2015
A neuroimaging biomarker for striatal dysfunction in schizophrenia
A Li, A Zalesky, W Yue, O Howes, H Yan, Y Liu, L Fan, KJ Whitaker, K Xu, ...
Nature Medicine 26 (4), 558-565, 2020
Multimodal neuromarkers in schizophrenia via cognition-guided MRI fusion
J Sui, S Qi, TGM van Erp, J Bustillo, R Jiang, D Lin, JA Turner, ...
Nature communications 9 (1), 3028, 2018
Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
A Abrol, Z Fu, M Salman, R Silva, Y Du, S Plis, V Calhoun
Nature communications 12 (1), 353, 2021
A group ICA based framework for evaluating resting fMRI markers when disease categories are unclear: application to schizophrenia, bipolar, and schizoaffective disorders
Y Du, GD Pearlson, J Liu, J Sui, Q Yu, H He, E Castro, VD Calhoun
Neuroimage 122, 272-280, 2015
Deep residual learning for neuroimaging: an application to predict progression to Alzheimer’s disease
A Abrol, M Bhattarai, A Fedorov, Y Du, S Plis, V Calhoun, ...
Journal of neuroscience methods 339, 108701, 2020
Dynamic functional connectivity impairments in early schizophrenia and clinical high-risk for psychosis
Y Du, SL Fryer, Z Fu, D Lin, J Sui, J Chen, E Damaraju, E Mennigen, ...
Neuroimage 180, 632-645, 2018
Aberrant dynamic functional network connectivity and graph properties in major depressive disorder
D Zhi, VD Calhoun, L Lv, X Ma, Q Ke, Z Fu, Y Du, Y Yang, X Yang, M Pan, ...
Frontiers in psychiatry 9, 339, 2018
Artifact removal in the context of group ICA: A comparison of single‐subject and group approaches
Y Du, EA Allen, H He, J Sui, L Wu, VD Calhoun
Human brain mapping 37 (3), 1005-1025, 2016
Altered static and dynamic functional network connectivity in Alzheimer's disease and subcortical ischemic vascular disease: shared and specific brain connectivity abnormalities
Z Fu, A Caprihan, J Chen, Y Du, JC Adair, J Sui, GA Rosenberg, ...
Human Brain Mapping 40 (11), 3203-3221, 2019
Transient increased thalamic-sensory connectivity and decreased whole-brain dynamism in autism
Z Fu, Y Tu, X Di, Y Du, J Sui, BB Biswal, Z Zhang, N de Lacy, VD Calhoun
Neuroimage 190, 191-204, 2019
Identifying dynamic functional connectivity biomarkers using GIG‐ICA: Application to schizophrenia, schizoaffective disorder, and psychotic bipolar disorder
Y Du, GD Pearlson, D Lin, J Sui, J Chen, M Salman, CA Tamminga, ...
Human brain mapping 38 (5), 2683-2708, 2017
Predicting individualized clinical measures by a generalized prediction framework and multimodal fusion of MRI data
X Meng, R Jiang, D Lin, J Bustillo, T Jones, J Chen, Q Yu, Y Du, Y Zhang, ...
Neuroimage 145, 218-229, 2017
Resting-state functional network connectivity in prefrontal regions differs between unmedicated patients with bipolar and major depressive disorders
H He, Q Yu, Y Du, V Vergara, TA Victor, WC Drevets, JB Savitz, T Jiang, ...
Journal of affective disorders 190, 483-493, 2016
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Articles 1–20