Rogers F. Silva

According to our database, Rogers F. Silva authored at least 30 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Copula-Linked Parallel ICA: A Method for Coupling Structural and Functional MRI brain Networks.

Oktay Agcaoglu, Rogers F. Silva, Deniz Alaçam, Sergey M. Plis, Tülay Adali, Vince D. Calhoun

CoRR, 2024

2023

Evaluating Trade-Offs in IVA of Multimodal Neuroimaging using Cross-Platform Multidataset Independent Subspace Analysis.

Xinhui Li, Daniel Khosravinezhad, Vince D. Calhoun, Rogers F. Silva

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Multimodal Subspace Independent Vector Analysis Better Captures Hidden Relationships in Multimodal Neuroimaging Data.

Xinhui Li, Tülay Adali, Rogers F. Silva, Vince D. Calhoun

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Any-Way Independent Component Analysis with Reference.

Kuaikuai Duan, Rogers F. Silva, Jingyu Liu, Oktay Agcaoglu, Vince D. Calhoun

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Multi-dimensional Joint ICA Model with Gaussian Copula.

Oktay Agcaoglu, Rogers F. Silva, Deniz Alaçam, Vince D. Calhoun

Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Functional and Structural Longitudinal Change Patterns in Adolescent Brain.

Rekha Saha, Debbrata K. Saha, Zening Fu, Rogers F. Silva, Vince D. Calhoun

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Multimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain.

Rekha Saha, Debbrata K. Saha, Zening Fu, Rogers F. Silva, Vince D. Calhoun

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022

Multimodal fusion of brain imaging data with joint non-linear independent component analysis.

Oktay Agcaoglu, Rogers F. Silva, Vince D. Calhoun

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Decentralized Spatially Constrained Source-Based Morphometry.

Debbrata K. Saha, Rogers F. Silva, Bradley T. Baker, Vince D. Calhoun

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation.

Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun

IEEE Trans. Signal Process., 2021

Multidataset Independent Subspace Analysis With Application to Multimodal Fusion.

Rogers F. Silva, Sergey M. Plis, Tülay Adali, Marios S. Pattichis, Vince D. Calhoun

IEEE Trans. Image Process., 2021

3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia.

Shile Qi, Sergey M. Plis, Robyn L. Miller, Rogers F. Silva, Victor M. Vergara, Rongtao Jiang, Dongmei Zhi, Jing Sui, Vince D. Calhoun

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A multimodal IVA fusion approach to identify linked neuroimaging markers.

Eswar Damaraju, Rogers F. Silva, Tülay Adali, Vince D. Calhoun

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis.

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

Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020

COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation.

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

J. Open Source Softw., 2020

aNy-way Independent Component Analysis.

Kuaikuai Duan, Vince D. Calhoun, Jingyu Liu, Rogers F. Silva

Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019

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

Bradley T. Baker, Anees Abrol, Rogers F. Silva, Eswar Damaraju, Anand D. Sarwate, Vince D. Calhoun, Sergey M. Plis

NeuroImage, 2019

Improved Differentially Private Decentralized Source Separation for fMRI Data.

Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun

CoRR, 2019

Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data.

Kuaikuai Duan, Rogers F. Silva, Jiayu Chen, Dongdong Lin, Vince D. Calhoun, Jingyu Liu

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

2018

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

Harshvardhan Gazula, Bradley T. Baker, Eswar Damaraju, Sergey M. Plis, Sandeep R. Panta, Rogers F. Silva, Vince D. Calhoun

Frontiers Neuroinformatics, 2018

In-between and cross-frequency dependence-based summarization of resting-state fMRI data.

Maziar Yaesoubi, Rogers F. Silva, Vince D. Calhoun

Proceedings of the 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, 2018

2017

COINSTAC: Decentralizing the future of brain imaging analysis.

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

F1000Research, 2017

Decentralized independent vector analysis.

Nikolas P. Wojtalewicz, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

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

Rogers F. Silva, Sergey M. Plis, Jing Sui, Marios S. Pattichis, Tülay Adali, Vince D. Calhoun

IEEE J. Sel. Top. Signal Process., 2016

Privacy-preserving source separation for distributed data using independent component analysis.

Hafiz Imtiaz, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun

Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

2015

Comparison of PCA approaches for very large group ICA.

Vince D. Calhoun, Rogers F. Silva, Tülay Adali, Srinivas Rachakonda

NeuroImage, 2015

Large scale collaboration with autonomy: Decentralized data ICA.

Bradley T. Baker, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

2014

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

Rogers F. Silva, Sergey M. Plis, Tülay Adali, Vince D. Calhoun

NeuroImage, 2014

The tenth annual MLSP competition: Schizophrenia classification challenge.

Rogers F. Silva, Eduardo Castro, Cota Navin Gupta, Mustafa S. Çetin, Mohammad Arbabshirani, Vamsi K. Potluru, Sergey M. Plis, Vince D. Calhoun

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Multidataset independent subspace analysis extends independent vector analysis.

Rogers F. Silva, Sergey M. Plis, Tülay Adali, Vince D. Calhoun

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014