|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
|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
|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
|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
|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
|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
|Comparison of PCA approaches for very large group ICA|
VD Calhoun, RF Silva, T Adalı, S Rachakonda
NeuroImage 118, 662-666, 2015
|Memory efficient PCA methods for large group ICA|
S Rachakonda, RF Silva, J Liu, VD Calhoun
Frontiers in neuroscience 10, 17, 2016
|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
|Decentralized independent vector analysis|
NP Wojtalewicz, RF Silva, VD Calhoun, AD Sarwate, SM Plis
2017 IEEE international conference on acoustics, speech and signal …, 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
|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
|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
|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
|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
|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
|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
JF Allan, RL Chase, B Cousens
PJ, Gordon, MP, and Steven, DS, 22,367-22,387, 1993
|Multidataset independent subspace analysis|
RF Silva, S Plis, T Adalı, VD Calhoun
Proc OHBM, 2014
|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