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Rogers F. Silva

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affiliation: Georgia Institute of Technology, Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Atlanta, GA, USA
affiliation (PhD 2017): University of New Mexico, Albuquerque, NM, USA

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2020 – today

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2023
[c19]
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Rekha Saha, Debbrata K. Saha, Zening Fu, Rogers F. Silva, Vince D. Calhoun:
Multimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain. BHI 2023: 1-5
[c18]
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Rekha Saha, Debbrata K. Saha, Zening Fu, Rogers F. Silva, Vince D. Calhoun:
Functional and Structural Longitudinal Change Patterns in Adolescent Brain. EMBC 2023: 1-4
[c17]
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Oktay Agcaoglu, Rogers F. Silva, Deniz Alaçam, Vince D. Calhoun:
A Multi-dimensional Joint ICA Model with Gaussian Copula. ICIAP Workshops (2) 2023: 152-163
[c16]
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Kuaikuai Duan, Rogers F. Silva, Jingyu Liu, Oktay Agcaoglu, Vince D. Calhoun:
Any-Way Independent Component Analysis with Reference. ISBI 2023: 1-4
[c15]
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Xinhui Li, Tülay Adali, Rogers F. Silva, Vince D. Calhoun:
Multimodal Subspace Independent Vector Analysis Better Captures Hidden Relationships in Multimodal Neuroimaging Data. ISBI 2023: 1-5
[c14]
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Xinhui Li, Daniel Khosravinezhad, Vince D. Calhoun, Rogers F. Silva:
Evaluating Trade-Offs in IVA of Multimodal Neuroimaging using Cross-Platform Multidataset Independent Subspace Analysis. ISBI 2023: 1-5
2022
[c13]
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Debbrata K. Saha, Rogers F. Silva, Bradley T. Baker, Vince D. Calhoun:
Decentralized Spatially Constrained Source-Based Morphometry. ISBI 2022: 1-5
[c12]
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Oktay Agcaoglu, Rogers F. Silva, Vince D. Calhoun:
Multimodal fusion of brain imaging data with joint non-linear independent component analysis. IVMSP 2022: 1-5
2021
[j8]
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Rogers F. Silva, Sergey M. Plis, Tülay Adali, Marios S. Pattichis, Vince D. Calhoun:
Multidataset Independent Subspace Analysis With Application to Multimodal Fusion. IEEE Trans. Image Process. 30: 588-602 (2021)
[j7]
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Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun:
A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation. IEEE Trans. Signal Process. 69: 6355-6370 (2021)
[c11]
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Thomas DeRamus, Armin Iraji, Zening Fu, Rogers F. Silva, Julia M. Stephen, Tony W. Wilson, Yu-Ping Wang, Yuhui Du, Jingyu Liu, Vince D. Calhoun:
Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis. BIBE 2021: 1-6
[c10]
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Eswar Damaraju, Rogers F. Silva, Tülay Adali, Vince D. Calhoun:
A multimodal IVA fusion approach to identify linked neuroimaging markers. EMBC 2021: 3928-3932
[c9]
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Shile Qi, Sergey M. Plis, Robyn L. Miller, Rogers F. Silva, Victor M. Vergara, Rongtao Jiang, Dongmei Zhi, Jing Sui, Vince D. Calhoun:
3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia. ISBI 2021: 1577-1581
2020
[j6]
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Harshvardhan Gazula, Ross Kelly, Javier Tomas Romero, Eric Verner, Bradley T. Baker, Rogers F. Silva, Hafiz Imtiaz, Debbrata K. Saha, Rajikha Raja, Jessica A. Turner, Anand D. Sarwate, Sergey M. Plis, Vince D. Calhoun:
COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation. J. Open Source Softw. 5(54): 2166 (2020)
[c8]
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Kuaikuai Duan, Vince D. Calhoun, Jingyu Liu, Rogers F. Silva:
aNy-way Independent Component Analysis. EMBC 2020: 1770-1774

2010 – 2019

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2019
[j5]
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Bradley T. Baker, Anees Abrol, Rogers F. Silva, Eswar Damaraju, Anand D. Sarwate, Vince D. Calhoun, Sergey M. Plis:
Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings. NeuroImage 186: 557-569 (2019)
[c7]
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Kuaikuai Duan, Rogers F. Silva, Jiayu Chen, Dongdong Lin, Vince D. Calhoun, Jingyu Liu:
Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data. ISBI 2019: 418-421
[i3]
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Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun:
Improved Differentially Private Decentralized Source Separation for fMRI Data. CoRR abs/1910.12913 (2019)
[i2]
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Rogers F. Silva, Sergey M. Plis, Tülay Adali, Marios S. Pattichis, Vince D. Calhoun:
Multidataset Independent Subspace Analysis with Application to Multimodal Fusion. CoRR abs/1911.04048 (2019)
2018
[j4]
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Harshvardhan Gazula, Bradley T. Baker, Eswar Damaraju, Sergey M. Plis, Sandeep R. Panta, Rogers F. Silva, Vince D. Calhoun:
Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network Connectivity. Frontiers Neuroinformatics 12: 55 (2018)
[c6]
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Maziar Yaesoubi, Rogers F. Silva, Vince D. Calhoun:
In-between and cross-frequency dependence-based summarization of resting-state fMRI data. SSIAI 2018: 93-96
2017
[c5]
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Nikolas P. Wojtalewicz, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis:
Decentralized independent vector analysis. ICASSP 2017: 826-830
[i1]
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Jing Ming, Eric Verner, Anand D. Sarwate, Ross Kelly, Cory Reed, Torran Kahleck, Rogers F. Silva, Sandeep R. Panta, Jessica A. Turner, Sergey M. Plis, Vince D. Calhoun:
COINSTAC: Decentralizing the future of brain imaging analysis. F1000Research 6: 1512- (2017)
2016
[j3]
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Rogers F. Silva, Sergey M. Plis, Jing Sui, Marios S. Pattichis, Tülay Adali, Vince D. Calhoun:
Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling. IEEE J. Sel. Top. Signal Process. 10(7): 1134-1149 (2016)
[c4]
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Hafiz Imtiaz, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun:
Privacy-preserving source separation for distributed data using independent component analysis. CISS 2016: 123-127
2015
[j2]
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Vince D. Calhoun, Rogers F. Silva, Tülay Adali, Srinivas Rachakonda:
Comparison of PCA approaches for very large group ICA. NeuroImage 118: 662-666 (2015)
[c3]
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Bradley T. Baker, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis:
Large scale collaboration with autonomy: Decentralized data ICA. MLSP 2015: 1-6
2014
[j1]
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Rogers F. Silva, Sergey M. Plis, Tülay Adali, Vince D. Calhoun:
A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimaging. NeuroImage 102: 92-117 (2014)
[c2]
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Rogers F. Silva, Sergey M. Plis, Tülay Adali, Vince D. Calhoun:
Multidataset independent subspace analysis extends independent vector analysis. ICIP 2014: 2864-2868
[c1]
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Rogers F. Silva, Eduardo Castro, Cota Navin Gupta, Mustafa S. Çetin, Mohammad Arbabshirani, Vamsi K. Potluru, Sergey M. Plis, Vince D. Calhoun:
The tenth annual MLSP competition: Schizophrenia classification challenge. MLSP 2014: 1-6

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