Rogers F Silva
Title
Cited by
Cited by
Year
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
8652011
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
702013
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
392014
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
242018
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
192014
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
182015
Comparison of PCA approaches for very large group ICA
VD Calhoun, RF Silva, T Adalı, S Rachakonda
NeuroImage 118, 662-666, 2015
172015
Memory efficient PCA methods for large group ICA
S Rachakonda, RF Silva, J Liu, VD Calhoun
Frontiers in neuroscience 10, 17, 2016
142016
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
Decentralized independent vector analysis
NP Wojtalewicz, RF Silva, VD Calhoun, AD Sarwate, SM Plis
2017 IEEE international conference on acoustics, speech and signal†…, 2017
102017
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
92017
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
92014
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
82019
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
82016
Decentralized analysis of brain imaging data: Voxel-based morphometry and dynamic functional network connectivity
H Gazula, BT Baker, E Damaraju, SM Plis, SR Panta, RF Silva, ...
Frontiers in neuroinformatics 12, 55, 2018
72018
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
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
42019
„Michael
JF Allan, RL Chase, B Cousens
PJ, Gordon, MP, and Steven, DS, 22,367-22,387, 1993
41993
Multidataset independent subspace analysis
RF Silva, S Plis, T Adalı, VD Calhoun
Proc OHBM, 2014
32014
An assessment of the limitations of joint ICA in multimodal data fusion
R Silva, V Calhoun
18th Annual Meeting of the Organization on Human Brain Mapping, HBM 2011, 2012
22012
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Articles 1–20