Silva R - Search Results

1

Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning.

Abrol A, Fu Z, Salman M, Silva R, Du Y, Plis S, Calhoun V. Abrol A, et al. Among authors: silva r. Nat Commun. 2021 Jan 13;12(1):353. doi: 10.1038/s41467-020-20655-6. Nat Commun. 2021. PMID: 33441557 Free PMC article.

2

Independent component analysis for brain FMRI does indeed select for maximal independence.

Calhoun VD, Potluru VK, Phlypo R, Silva RF, Pearlmutter BA, Caprihan A, Plis SM, Adalı T. Calhoun VD, et al. Among authors: silva rf. PLoS One. 2013 Aug 29;8(8):e73309. doi: 10.1371/journal.pone.0073309. eCollection 2013. PLoS One. 2013. PMID: 24009746 Free PMC article.

3

A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimaging.

Silva RF, Plis SM, Adalı T, Calhoun VD. Silva RF, et al. Neuroimage. 2014 Nov 15;102 Pt 1(Pt 1):92-117. doi: 10.1016/j.neuroimage.2014.04.035. Epub 2014 Apr 18. Neuroimage. 2014. PMID: 24747087 Free PMC article. Review.

4

Comparison of PCA approaches for very large group ICA.

Calhoun VD, Silva RF, Adalı T, Rachakonda S. Calhoun VD, et al. Neuroimage. 2015 Sep;118:662-6. doi: 10.1016/j.neuroimage.2015.05.047. Epub 2015 May 27. Neuroimage. 2015. PMID: 26021216 Free PMC article.

5

Memory Efficient PCA Methods for Large Group ICA.

Rachakonda S, Silva RF, Liu J, Calhoun VD. Rachakonda S, et al. Front Neurosci. 2016 Feb 2;10:17. doi: 10.3389/fnins.2016.00017. eCollection 2016. Front Neurosci. 2016. PMID: 26869874 Free PMC article.

6

Spatiospectral Decomposition of Multi-subject EEG: Evaluating Blind Source Separation Algorithms on Real and Realistic Simulated Data.

Bridwell DA, Rachakonda S, Silva RF, Pearlson GD, Calhoun VD. Bridwell DA, et al. Brain Topogr. 2018 Jan;31(1):47-61. doi: 10.1007/s10548-016-0479-1. Epub 2016 Feb 24. Brain Topogr. 2018. PMID: 26909688 Free PMC article.

7

Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling.

Silva RF, Plis SM, Sui J, Pattichis MS, Adalı T, Calhoun VD. Silva RF, et al. IEEE J Sel Top Signal Process. 2016 Oct;10(7):1134-1149. doi: 10.1109/JSTSP.2016.2594945. Epub 2016 Jul 27. IEEE J Sel Top Signal Process. 2016. PMID: 28461840 Free PMC article.

8

COINSTAC: Decentralizing the future of brain imaging analysis.

Ming J, Verner E, Sarwate A, Kelly R, Reed C, Kahleck T, Silva R, Panta S, Turner J, Plis S, Calhoun V. Ming J, et al. Among authors: silva r. F1000Res. 2017 Aug 18;6:1512. doi: 10.12688/f1000research.12353.1. eCollection 2017. F1000Res. 2017. PMID: 29123643 Free PMC article.

9

Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network Connectivity.

Gazula H, Baker BT, Damaraju E, Plis SM, Panta SR, Silva RF, Calhoun VD. Gazula H, et al. Among authors: silva rf. Front Neuroinform. 2018 Aug 27;12:55. doi: 10.3389/fninf.2018.00055. eCollection 2018. Front Neuroinform. 2018. PMID: 30210327 Free PMC article.

10

Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings.

Baker BT, Abrol A, Silva RF, Damaraju E, Sarwate AD, Calhoun VD, Plis SM. Baker BT, et al. Neuroimage. 2019 Feb 1;186:557-569. doi: 10.1016/j.neuroimage.2018.10.072. Epub 2018 Nov 5. Neuroimage. 2019. PMID: 30408598 Free PMC article.

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