Large scale collaboration with autonomy: Decentralized data ICA. - Bradley T. Baker; Rogers F. Silva; Vince D. Calhoun; Anand D. Sarwate; Sergey M. Plis (MLSP, 2015)

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 (CISS, 2016)

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)

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)

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)

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; et al. (J. Open Source Softw., 2020)

Efficient Distributed Auto-Differentiation. - Bradley T. Baker; Vince D. Calhoun; Barak A. Pearlmutter; Sergey M. Plis (CoRR, 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)

Decentralized Spatially Constrained Source-Based Morphometry. - Debbrata K. Saha; Rogers F. Silva; Bradley T. Baker; Vince D. Calhoun (ISBI, 2022)

Decentralized Parallel Independent Component Analysis for Multimodal, Multisite Data. - Chan Aek Panichvatana; Jiayu Chen 003; Bradley T. Baker; Bishal Thapaliya; Vince D. Calhoun; Jingyu Liu 001 (EMBC, 2023)

BrainForge: An online data analysis platform for integrative neuroimaging acquisition, analysis, and sharing. - Eric Verner; Helen Petropoulos; Bradley T. Baker; Henry Jeremy Bockholt; Jill Fries; Anastasia Bohsali; Rajikha Raja; Duc Hoai Trinh; Vince D. Calhoun (Concurr. Comput. Pract. Exp., 2023)

Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility. - Dylan Martin; Sunitha Basodi; Sandeep R. Panta; Kelly Rootes-Murdy; Paul Prae; Anand D. Sarwate; Ross Kelly; Javier Tomas Romero; Bradley T. Baker; Harshvardhan Gazula; Henry Jeremy Bockholt; Jessica A. Turner; et al. (Frontiers Neuroinformatics, 2023)

Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatment. - Bradley T. Baker; Mustafa S. Salman; Zening Fu; Armin Iraji; Elizabeth A. Osuch; Henry Jeremy Bockholt; Vince D. Calhoun (ISBI, 2024)

Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse. - Bradley T. Baker; Barak A. Pearlmutter; Robyn L. Miller; Vince D. Calhoun; Sergey M. Plis (CoRR, 2024)

Spectral Introspection Identifies Group Training Dynamics in Deep Neural Networks for Neuroimaging. - Bradley T. Baker; Vince D. Calhoun; Sergey M. Plis (CoRR, 2024)

Learning with Less: Low-rank Dynamics, Communication, and Introspection in Machine Learning. - Bradley T. Baker (2024)