| A baseline for the multivariate comparison of resting-state networks EA Allen, EB Erhardt, E Damaraju, W Gruner, JM Segall, RF Silva, ... Frontiers in systems neuroscience 5, 2, 2011 | 1355 | 2011 |
| 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 | 150 | 2021 |
| Independent component analysis for brain fMRI does indeed select for maximal independence VD Calhoun, VK Potluru, R Phlypo, RF Silva, BA Pearlmutter, A Caprihan, ... PloS one 8 (8), e73309, 2013 | 94 | 2013 |
| Community-randomized trial of enhanced DOTS for tuberculosis control in Rio de Janeiro, Brazil SC Cavalcante, B Durovni, GL Barnes, FBA Souza, RF Silva, PF Barroso, ... The international journal of tuberculosis and lung disease 14 (2), 203-209, 2010 | 80 | 2010 |
| The tenth annual MLSP competition: Schizophrenia classification challenge RF Silva, E Castro, CN Gupta, M Cetin, M Arbabshirani, VK Potluru, ... 2014 IEEE international workshop on machine learning for signal processing …, 2014 | 49 | 2014 |
| Spatiospectral decomposition of multi-subject EEG: evaluating blind source separation algorithms on real and realistic simulated data DA Bridwell, S Rachakonda, RF Silva, GD Pearlson, VD Calhoun Brain topography 31, 47-61, 2018 | 45 | 2018 |
| Memory efficient PCA methods for large group ICA S Rachakonda, RF Silva, J Liu, VD Calhoun Frontiers in neuroscience 10, 17, 2016 | 35 | 2016 |
| Large scale collaboration with autonomy: Decentralized data ICA BT Baker, RF Silva, VD Calhoun, AD Sarwate, SM Plis 2015 IEEE 25th international workshop on machine learning for signal …, 2015 | 34 | 2015 |
| Reward processing in novelty seekers: a transdiagnostic psychiatric imaging biomarker S Qi, G Schumann, J Bustillo, JA Turner, R Jiang, D Zhi, Z Fu, AR Mayer, ... Biological psychiatry 90 (8), 529-539, 2021 | 31 | 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 | 28 | 2019 |
| Multidataset independent subspace analysis extends independent vector analysis RF Silva, SM Plis, T Adali, VD Calhoun 2014 IEEE International Conference on Image Processing (ICIP), 2864-2868, 2014 | 25 | 2014 |
| Comparison of PCA approaches for very large group ICA VD Calhoun, RF Silva, T Adalı, S Rachakonda NeuroImage 118, 662-666, 2015 | 24 | 2015 |
| COINSTAC: Decentralizing the future of brain imaging analysis J Ming, E Verner, A Sarwate, R Kelly, C Reed, T Kahleck, R Silva, S Panta, ... F1000Research 6, 2017 | 23 | 2017 |
| Blind source separation for unimodal and multimodal brain networks: A unifying framework for subspace modeling RF Silva, SM Plis, J Sui, MS Pattichis, T Adalı, VD Calhoun IEEE journal of selected topics in signal processing 10 (7), 1134-1149, 2016 | 23 | 2016 |
| Multidataset independent subspace analysis with application to multimodal fusion RF Silva, SM Plis, T Adalı, MS Pattichis, VD Calhoun IEEE Transactions on Image Processing 30, 588-602, 2020 | 22 | 2020 |
| Decentralized temporal independent component analysis: leveraging fMRI data in collaborative settings BT Baker, A Abrol, RF Silva, E Damaraju, AD Sarwate, VD Calhoun, ... NeuroImage 186, 557-569, 2019 | 15 | 2019 |
| Decentralized independent vector analysis NP Wojtalewicz, RF Silva, VD Calhoun, AD Sarwate, SM Plis 2017 IEEE International conference on acoustics, speech and signal …, 2017 | 14 | 2017 |
| A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimaging RF Silva, SM Plis, T Adalı, VD Calhoun NeuroImage 102, 92-117, 2014 | 14 | 2014 |
| Three‐way parallel group independent component analysis: Fusion of spatial and spatiotemporal magnetic resonance imaging data S Qi, RF Silva, D Zhang, SM Plis, R Miller, VM Vergara, R Jiang, D Zhi, ... Human brain mapping 43 (4), 1280-1294, 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 | 12 | 2020 |
Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)Verified email at gsu.edu
