Rogers F Silva
Citata da
Citata da
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
bioRxiv, 2020
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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