Rogers F Silva
TitleCited byYear
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
7572011
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
652013
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
322014
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 (1), 47-61, 2018
192018
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
172014
A baseline for the multivariate comparison of resting-state networks. Front. Syst. Neurosci. 5, 2
EA Allen, EB Erhardt, E Damaraju, W Gruner, JM Segall, RF Silva, ...
172011
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
152015
Comparison of PCA approaches for very large group ICA
VD Calhoun, RF Silva, T Adalı, S Rachakonda
NeuroImage 118, 662-666, 2015
152015
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
132016
Memory efficient PCA methods for large group ICA
S Rachakonda, RF Silva, J Liu, VD Calhoun
Frontiers in neuroscience 10, 17, 2016
112016
Preprocessed consortium for neuropsychiatric phenomics dataset
KJ Gorgolewski, J Durnez, RA Poldrack
F1000Research 6, 2017
82017
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
82014
Decentralized independent vector analysis
NP Wojtalewicz, RF Silva, VD Calhoun, AD Sarwate, SM Plis
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
72017
Privacy-preserving source separation for distributed data using independent component analysis
H Imtiaz, R Silva, B Baker, SM Plis, AD Sarwate, V Calhoun
2016 Annual Conference on Information Science and Systems (CISS), 123-127, 2016
72016
Identification of multimodal MRI and EEG biomarkers using joint-ICA and divergence criteria
V Calhoun, R Silva, J Liu
2007 IEEE Workshop on Machine Learning for Signal Processing, 151-156, 2007
62007
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
42017
A baseline for the multivariate comparison of resting-state networks. Front Syst Neurosci. 2011; 5: 2
EA Allen, EB Erhardt, E Damaraju, W Gruner, JM Segall, RF Silva, ...
Epub 2011/03/29. doi: 10.3389/fnsys. 2011.00002 PMID: 21442040, 2011
42011
Multidataset independent subspace analysis
R Silva, SM Plis, T Adalı, VD Calhoun
Proc OHBM, 2014
32014
Decentralized analysis of brain imaging data: Voxel-based morphometry and dynamic functional network connectivity
H Gazula, B Baker, E Damaraju, SM Plis, SR Panta, RF Silva, ...
Frontiers in neuroinformatics 12, 55, 2018
22018
An assessment of the limitations of joint ICA in multimodal data fusion
R Silva, VD Calhoun
Proc. HBM, 2012
22012
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Articles 1–20