Bradley T. Baker

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 15

Top Topics

Source Separation

Top Venues

Frontiers Neuroinformatics

Publications

Bradley T. Baker, Mustafa S. Salman, Zening Fu, Armin Iraji, Elizabeth A. Osuch, Henry Jeremy Bockholt, Vince D. Calhoun
Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatment. CoRR (2024)
Bradley T. Baker, Barak A. Pearlmutter, Robyn L. Miller, Vince D. Calhoun, Sergey M. Plis
Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse. CoRR (2024)
Bradley T. Baker, Vince D. Calhoun, Sergey M. Plis
Spectral Introspection Identifies Group Training Dynamics in Deep Neural Networks for Neuroimaging. CoRR (2024)
Dylan Martin, Sunitha Basodi, Sandeep R. Panta, Kelly Rootes-Murdy, Paul Prae, Anand D. Sarwate, Ross Kelly, Javier Romero, Bradley T. Baker, Harshvardhan Gazula, Henry Jeremy Bockholt, Jessica A. Turner, Nathalia Bianchini Esper, Alexandre R. Franco, Sergey M. Plis, Vince D. Calhoun
Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility. Frontiers Neuroinformatics 17 (2023)
Chan Aek Panichvatana, Jiayu Chen, Bradley T. Baker, Bishal Thapaliya, Vince D. Calhoun, Jingyu Liu
Decentralized Parallel Independent Component Analysis for Multimodal, Multisite Data. EMBC (2023)
Eric Verner, Helen Petropoulos, Bradley T. Baker, Henry Jeremy Bockholt, Jill Fries, Anastasia Bohsali, Rajikha Raja, Duc Hoai Trinh, Vince D. Calhoun
BrainForge: An online data analysis platform for integrative neuroimaging acquisition, analysis, and sharing. Concurr. Comput. Pract. Exp. 35 (18) (2023)
Debbrata K. Saha, Rogers F. Silva, Bradley T. Baker, Vince D. Calhoun
Decentralized Spatially Constrained Source-Based Morphometry. ISBI (2022)
Bradley T. Baker, Vince D. Calhoun, Barak A. Pearlmutter, Sergey M. Plis
Efficient Distributed Auto-Differentiation. CoRR (2021)
Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation. IEEE Trans. Signal Process. 69 (2021)
Harshvardhan Gazula, Ross Kelly, Javier 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
COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation. J. Open Source Softw. 5 (54) (2020)
Bradley T. Baker, Anees Abrol, Rogers F. Silva, Eswar Damaraju, Anand D. Sarwate, Vince D. Calhoun, Sergey M. Plis
Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings. NeuroImage 186 (2019)
Hafiz Imtiaz, Jafar Mohammadi, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
Improved Differentially Private Decentralized Source Separation for fMRI Data. CoRR (2019)
Harshvardhan Gazula, Bradley T. Baker, Eswar Damaraju, Sergey M. Plis, Sandeep R. Panta, Rogers F. Silva, Vince D. Calhoun
Decentralized Analysis of Brain Imaging Data: Voxel-Based Morphometry and Dynamic Functional Network Connectivity. Frontiers Neuroinformatics 12 (2018)
Hafiz Imtiaz, Rogers F. Silva, Bradley T. Baker, Sergey M. Plis, Anand D. Sarwate, Vince D. Calhoun
Privacy-preserving source separation for distributed data using independent component analysis. CISS (2016)
Bradley T. Baker, Rogers F. Silva, Vince D. Calhoun, Anand D. Sarwate, Sergey M. Plis
Large scale collaboration with autonomy: Decentralized data ICA. MLSP (2015)