| Group information guided ICA for fMRI data analysis Y Du, Y Fan Neuroimage 69, 157-197, 2013 | 372 | 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 | 338 | 2018 |
| 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 | 313 | 2020 |
| 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 | 255 | 2015 |
| 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 | 232 | 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 | 228 | 2018 |
| 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 | 214 | 2020 |
| 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 | 188 | 2021 |
| 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 | 188 | 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 | 172 | 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 | 158 | 2018 |
| 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 | 147 | 2015 |
| 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 | 145 | 2018 |
| 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 | 141 | 2018 |
| 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 | 140 | 2019 |
| 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 | 133 | 2016 |
| 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 | 122 | 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 | 117 | 2017 |
| Group ICA for identifying biomarkers in schizophrenia:‘Adaptive’networks via spatially constrained ICA show more sensitivity to group differences than spatio-temporal regression MS Salman, Y Du, D Lin, Z Fu, A Fedorov, E Damaraju, J Sui, J Chen, ... NeuroImage: Clinical 22, 101747, 2019 | 108 | 2019 |
| 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 | 105 | 2017 |
Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα gsu.edu
