Rogers F. Silva

35 papers B 1C 1Misc 2Journal 14Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Hybrid K-means Clustering Algorithm for Interaction Optimization Reveals Imaging/Genomic Subtypes of Alzheimer's Disease. IEEECONF Jiayu Chen, Armin Iraji, Youngjo Song, Rogers F. Silva, Jingyu Liu, Vince D. Calhoun
2025	J	`jnl`	Confound Controlled Multimodal Neuroimaging Data Fusion and Its Application to Developmental Disorders. IEEE Trans. Image Process. Chuang Liang, Rogers F. Silva, Tülay Adali, Rongtao Jiang, Daoqiang Zhang, Shile Qi, Vince D. Calhoun
2025	J	`jnl`	Multimodal Data Fusion in Neuroscience: Promises, challenges, and future directions [Special Issue on Accelerating Brain Discovery Through Data Science and Neurotechnology]. IEEE Signal Process. Mag. Chuang Liang, Rogers F. Silva, Tülay Adali, Rongtao Jiang, Daoqiang Zhang, Shile Qi, Vince D. Calhoun
2024	—	`conf`	Copula linked parallel ICA jointly estimates linked structural and functional MRI brain networks. EMBC Oktay Agcaoglu, Deniz Alaçam, Tülay Adali, Vince D. Calhoun, Rogers F. Silva, Sergey M. Plis, Biozid Bostami
2024	J	`jnl`	Copula-Linked Parallel ICA: A Method for Coupling Structural and Functional MRI brain Networks. CoRR Oktay Agcaoglu, Rogers F. Silva, Deniz Alaçam, Sergey M. Plis, Tülay Adali, Vince D. Calhoun
2023	—	`conf`	A Multi-dimensional Joint ICA Model with Gaussian Copula. ICIAP Workshops (2) Oktay Agcaoglu, Rogers F. Silva, Deniz Alaçam, Vince D. Calhoun
2023	—	`conf`	Any-Way Independent Component Analysis with Reference. ISBI Kuaikuai Duan, Rogers F. Silva, Jingyu Liu, Oktay Agcaoglu, Vince D. Calhoun
2023	—	`conf`	Evaluating Trade-Offs in IVA of Multimodal Neuroimaging using Cross-Platform Multidataset Independent Subspace Analysis. ISBI Xinhui Li, Daniel Khosravinezhad, Vince D. Calhoun, Rogers F. Silva
2023	—	`conf`	Functional and Structural Longitudinal Change Patterns in Adolescent Brain. EMBC Rekha Saha, Debbrata K. Saha, Zening Fu, Rogers F. Silva, Vince D. Calhoun
2023	—	`conf`	Multimodal Fusion of Functional and Structural Data to Recognize Longitudinal Change Patterns in the Adolescent Brain. BHI Rekha Saha, Debbrata K. Saha, Zening Fu, Rogers F. Silva, Vince D. Calhoun
2023	—	`conf`	Multimodal Subspace Independent Vector Analysis Better Captures Hidden Relationships in Multimodal Neuroimaging Data. ISBI Xinhui Li, Tülay Adali, Rogers F. Silva, Vince D. Calhoun
2022	—	`conf`	Decentralized Spatially Constrained Source-Based Morphometry. ISBI Debbrata K. Saha, Rogers F. Silva, Bradley T. Baker, Vince D. Calhoun
2022	—	`conf`	Multimodal fusion of brain imaging data with joint non-linear independent component analysis. IVMSP Oktay Agcaoglu, Rogers F. Silva, Vince D. Calhoun
2021	—	`conf`	3-way Parallel Fusion of Spatial (sMRI/dMRI) and Spatio-temporal (fMRI) Data with Application to Schizophrenia. ISBI Shile Qi, Sergey M. Plis, Robyn L. Miller, Rogers F. Silva, Victor M. Vergara, Rongtao Jiang, Dongmei Zhi, Jing Sui, Vince D. Calhoun
2021	J	`jnl`	A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation. IEEE Trans. Signal Process. Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
2021	—	`conf`	A multimodal IVA fusion approach to identify linked neuroimaging markers. EMBC Eswar Damaraju, Rogers F. Silva, Tülay Adali, Vince D. Calhoun
2021	J	`jnl`	Multidataset Independent Subspace Analysis With Application to Multimodal Fusion. IEEE Trans. Image Process. Rogers F. Silva, Sergey M. Plis, Tülay Adali, Marios S. Pattichis, Vince D. Calhoun
2021	C	`conf`	Stability of functional network connectivity (FNC) values across multiple spatial normalization pipelines in spatially constrained independent component analysis. BIBE 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
2020	J	`jnl`	COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation. J. Open Source Softw. 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
2020	—	`conf`	aNy-way Independent Component Analysis. EMBC Kuaikuai Duan, Vince D. Calhoun, Jingyu Liu, Rogers F. Silva
2019	J	`jnl`	Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings. NeuroImage Bradley T. Baker, Anees Abrol, Rogers F. Silva, Eswar Damaraju, Anand D. Sarwate, Vince D. Calhoun, Sergey M. Plis
2019	J	`jnl`	Improved Differentially Private Decentralized Source Separation for fMRI Data. CoRR Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
2019	J	`jnl`	Multidataset Independent Subspace Analysis with Application to Multimodal Fusion. CoRR Rogers F. Silva, Sergey M. Plis, Tülay Adali, Marios S. Pattichis, Vince D. Calhoun
2019	—	`conf`	Sparse Infomax Based on Hoyer Projection and its Application to Simulated Structural MRI and SNP Data. ISBI Kuaikuai Duan, Rogers F. Silva, Jiayu Chen, Dongdong Lin, Vince D. Calhoun, Jingyu Liu
2018	J	`jnl`	Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network Connectivity. Frontiers Neuroinformatics Harshvardhan Gazula, Bradley T. Baker, Eswar Damaraju, Sergey M. Plis, Sandeep R. Panta, Rogers F. Silva, Vince D. Calhoun
2018	—	`conf`	In-between and cross-frequency dependence-based summarization of resting-state fMRI data. SSIAI Maziar Yaesoubi, Rogers F. Silva, Vince D. Calhoun
2017	J	`jnl`	COINSTAC: Decentralizing the future of brain imaging analysis. F1000Research 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
2017	Misc	`conf`	Decentralized independent vector analysis. ICASSP Nikolas P. Wojtalewicz, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis
2016	J	`jnl`	Blind Source Separation for Unimodal and Multimodal Brain Networks: A Unifying Framework for Subspace Modeling. IEEE J. Sel. Top. Signal Process. Rogers F. Silva, Sergey M. Plis, Jing Sui, Marios S. Pattichis, Tülay Adali, Vince D. Calhoun
2016	Misc	`conf`	Privacy-preserving source separation for distributed data using independent component analysis. CISS Hafiz Imtiaz, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
2015	J	`jnl`	Comparison of PCA approaches for very large group ICA. NeuroImage Vince D. Calhoun, Rogers F. Silva, Tülay Adali, Srinivas Rachakonda
2015	—	`conf`	Large scale collaboration with autonomy: Decentralized data ICA. MLSP Bradley T. Baker, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis
2014	J	`jnl`	A statistically motivated framework for simulation of stochastic data fusion models applied to multimodal neuroimaging. NeuroImage Rogers F. Silva, Sergey M. Plis, Tülay Adali, Vince D. Calhoun
2014	B	`conf`	Multidataset independent subspace analysis extends independent vector analysis. ICIP Rogers F. Silva, Sergey M. Plis, Tülay Adali, Vince D. Calhoun
2014	—	`conf`	The tenth annual MLSP competition: Schizophrenia classification challenge. MLSP Rogers F. Silva, Eduardo Castro, Cota Navin Gupta, Mustafa S. Çetin, Mohammad Arbabshirani, Vamsi K. Potluru, Sergey M. Plis, Vince D. Calhoun