Rogers F. Silva

Orcid: 0000-0002-7271-1288

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


According to our database1, Rogers F. Silva authored at least 29 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Evaluating Trade-Offs in IVA of Multimodal Neuroimaging using Cross-Platform Multidataset Independent Subspace Analysis.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Multimodal Subspace Independent Vector Analysis Better Captures Hidden Relationships in Multimodal Neuroimaging Data.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Any-Way Independent Component Analysis with Reference.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

A Multi-dimensional Joint ICA Model with Gaussian Copula.
Proceedings of the Image Analysis and Processing - ICIAP 2023 Workshops, 2023

Functional and Structural Longitudinal Change Patterns in Adolescent Brain.
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.
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.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Decentralized Spatially Constrained Source-Based Morphometry.
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.
IEEE Trans. Signal Process., 2021

Multidataset Independent Subspace Analysis With Application to Multimodal Fusion.
IEEE Trans. Image Process., 2021

3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

A multimodal IVA fusion approach to identify linked neuroimaging markers.
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.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020
COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation.
J. Open Source Softw., 2020

aNy-way Independent Component Analysis.
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.
NeuroImage, 2019

Improved Differentially Private Decentralized Source Separation for fMRI Data.
CoRR, 2019

Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data.
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.
Frontiers Neuroinformatics, 2018

In-between and cross-frequency dependence-based summarization of resting-state fMRI data.
Proceedings of the 2018 IEEE Southwest Symposium on Image Analysis and Interpretation, 2018

2017
COINSTAC: Decentralizing the future of brain imaging analysis.
F1000Research, 2017

Decentralized independent vector analysis.
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.
IEEE J. Sel. Top. Signal Process., 2016

Privacy-preserving source separation for distributed data using independent component analysis.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

2015
Comparison of PCA approaches for very large group ICA.
NeuroImage, 2015

Large scale collaboration with autonomy: Decentralized data ICA.
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.
NeuroImage, 2014

The tenth annual MLSP competition: Schizophrenia classification challenge.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Multidataset independent subspace analysis extends independent vector analysis.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014


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