| 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 |
| 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 | 187 | 2021 |
| 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 |
| Determining the number of states in dynamic functional connectivity using cluster validity indexes VM Vergara, M Salman, A Abrol, FA Espinoza, VD Calhoun Journal of neuroscience methods 337, 108651, 2020 | 59 | 2020 |
| Evidence of shared and distinct functional and structural brain signatures in schizophrenia and autism spectrum disorder Y Du, Z Fu, Y Xing, D Lin, G Pearlson, P Kochunov, LE Hong, S Qi, ... Communications biology 4 (1), 1073, 2021 | 39 | 2021 |
| Parallel group ICA+ ICA: Joint estimation of linked functional network variability and structural covariation with application to schizophrenia S Qi, J Sui, J Chen, J Liu, R Jiang, R Silva, A Iraji, E Damaraju, M Salman, ... Human brain mapping 40 (13), 3795-3809, 2019 | 31 | 2019 |
| Identifying canonical and replicable multi‐scale intrinsic connectivity networks in 100k+ resting‐state fMRI datasets A Iraji, Z Fu, A Faghiri, M Duda, J Chen, S Rachakonda, T DeRamus, ... Human brain mapping 44 (17), 5729-5748, 2023 | 27 | 2023 |
| NeuroMark: an adaptive independent component analysis framework for estimating reproducible and comparable fMRI biomarkers among brain disorders Y Du, Z Fu, J Sui, S Gao, Y Xing, D Lin, V Calhoun MedRxiv, 19008631, 2019 | 24 | 2019 |
| Neuromark: a fully automated ica method to identify effective fmri markers of brain disorders Y Du, Z Fu, J Sui, S Gao, Y Xing, D Lin, M Salman, MA Rahaman, A Abrol, ... medRxiv, 19008631, 2019 | 20 | 2019 |
| Functional connectivity uniqueness and variability? Linkages with cognitive and psychiatric problems in children Z Fu, J Liu, MS Salman, J Sui, VD Calhoun Nature Mental Health 1 (12), 956-970, 2023 | 15 | 2023 |
| Decreased cross-domain mutual information in schizophrenia from dynamic connectivity states MS Salman, VM Vergara, E Damaraju, VD Calhoun Frontiers in Neuroscience 13, 873, 2019 | 14 | 2019 |
| Group information guided ICA shows more sensitivity to group differences than dual-regression MS Salman, Y Du, E Damaraju, Q Lin, VD Calhoun 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017 …, 2017 | 14 | 2017 |
| Identifying FMRI dynamic connectivity states using affinity propagation clustering method: Application to schizophrenia MS Salman, Y Du, VD Calhoun 2017 IEEE international conference on acoustics, speech and signal …, 2017 | 14 | 2017 |
| An approach to automatically label and order brain activity/component maps MS Salman, TD Wager, E Damaraju, A Abrol, VM Vergara, Z Fu, ... Brain Connectivity 12 (1), 85-95, 2022 | 13 | 2022 |
| Hype versus hope: Deep learning encodes more predictive and robust brain imaging representations than standard machine learning A Abrol, Z Fu, M Salman, R Silva, Y Du, S Plis, V Calhoun BioRxiv, 2020.04. 14.041582, 2020 | 13 | 2020 |
| Canonical and Replicable Multi-Scale Intrinsic Connectivity Networks in 100k+ Resting-State fMRI Datasets A Iraji, Z Fu, A Faghiri, M Duda, J Chen, S Rachakonda, T DeRamus, ... bioRxiv, 2022.09. 03.506487, 2022 | 12 | 2022 |
| Searching Reproducible Brain Features using NeuroMark: Templates for Different Age Populations and Imaging Modalities Z Fu, I Batta, L Wu, A Abrol, O Agcaoglu, MS Salman, Y Du, A Iraji, ... NeuroImage 292, 120617, 2024 | 8 | 2024 |
| NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders. Neuroimage Clin 28, 102375 Y Du, Z Fu, J Sui, S Gao, Y Xing, D Lin, M Salman, A Abrol, MA Rahaman, ... | 8 | 2020 |
| NeuroMark: An automated and adaptive ICA based pipeline to identify reproducible fMRI markers of brain disorders. Neuroimage Clin. 2020; 28: 102375 Y Du, Z Fu, J Sui, S Gao, Y Xing, D Lin, M Salman, A Abrol, MA Rahaman, ... Epub 2020/09/23. doi: 10.1016/j. nicl. 2020.102375. PubMed PMID: 32961402, 2020 | 7 | 2020 |
Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)Verified email at gsu.edu
