Rogers F Silva

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Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)Adresse e-mail validée de gsu.edu
Sergey PlisTReNDS center: GSU, Emory, and GATechAdresse e-mail validée de gsu.edu
Tulay AdaliDistinguished University Professor, University of Maryland, Baltimore CountyAdresse e-mail validée de umbc.edu
Zening FuTri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDSAdresse e-mail validée de gsu.edu
Bradley BakerGeorgia Institute of TechnologyAdresse e-mail validée de gsu.edu
Eswar DamarajuChildren's Healthcare of AtlantaAdresse e-mail validée de choa.org
Jingyu LiuAssociate Professor at Computer Science, TReNDS center ,Georgia State UniversityAdresse e-mail validée de gsu.edu
Yuhui DuShanxi UniversityAdresse e-mail validée de sxu.edu.cn
Anand SarwateAssociate Professor, Rutgers UniversityAdresse e-mail validée de rutgers.edu
Armin IrajiTReNDS CenterAdresse e-mail validée de gsu.edu
Anees AbrolResearch Scientist II, GSU/GATech/Emory TReNDS CenterAdresse e-mail validée de gsu.edu
Mustafa S SalmanMoody's RMS, Georgia Institute of TechnologyAdresse e-mail validée de gatech.edu
Thomas DeRamusDivision of Pharamacoepidemiology, Brigham and Women's Hospital | Harvard Medical SchoolAdresse e-mail validée de mgb.org
Shile QiProfessor, Nanjing University of Aeronautics and AstronauticsAdresse e-mail validée de nuaa.edu.cn
Vamsi Krishna PotluruResearcherAdresse e-mail validée de jpmchase.com
Jing SuiProfessor, State Key Lab of Cognitive Neuroscience & Learning, BNUAdresse e-mail validée de bnu.edu.cn
Godfrey PearlsonAdresse e-mail validée de hhchealth.org
Oktay AgcaogluResearch Scientist, TReNDS CenterAdresse e-mail validée de gsu.edu
Rongtao JiangDepartment of Radiology and Biomedical imaging, Yale UniversityAdresse e-mail validée de yale.edu
Hafiz ImtiazGraduate Student, Rutgers UniversityAdresse e-mail validée de rutgers.edu

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Rogers F Silva

TReNDS Center (Translational Research in Neuroimaging and Data Science); GSU/GATech/Emory

Adresse e-mail validée de gsu.edu

Subspace Learning Multimodal Neuroimaging Image & Data Analysis Combinatorial & Numerical Optimization Machine Learning


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	1420	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	187	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	95	2013
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	51	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	46	2018
Memory efficient PCA methods for large group ICA S Rachakonda, RF Silva, J Liu, VD Calhoun Frontiers in neuroscience 10, 17, 2016	40	2016
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	36	2021
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	36	2015
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
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	27	2020
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	27	2014
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	26	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	25	2016
Comparison of PCA approaches for very large group ICA VD Calhoun, RF Silva, T Adalı, S Rachakonda NeuroImage 118, 662-666, 2015	25	2015
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	17	2022
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	16	2019
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	15	2014
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
Coinstac: Collaborative informatics and neuroimaging suite toolkit for anonymous computation H Gazula, R Kelly, J Romero, E Verner, BT Baker, RF Silva, H Imtiaz, ... Journal of Open Source Software 5 (54), 2166, 2020	13	2020
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

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