Bradley T. Baker

According to our database, Bradley T. Baker authored at least 14 papers between 2015 and 2024.

Collaborative distances:

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

2024

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

CoRR, 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

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, Nathalia Bianchini Esper, Alexandre R. Franco, Sergey M. Plis, Vince D. Calhoun

Frontiers Neuroinformatics, March, 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

Decentralized Parallel Independent Component Analysis for Multimodal, Multisite Data.

Chan Aek Panichvatana, Jiayu Chen, Bradley T. Baker, Bishal Thapaliya, Vince D. Calhoun, Jingyu Liu

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

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

Efficient Distributed Auto-Differentiation.

Bradley T. Baker, Vince D. Calhoun, Barak A. Pearlmutter, Sergey M. Plis

CoRR, 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

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

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

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

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