Bradley Baker
Bradley Baker
Georgia Institute of Technology
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Cited by
Cited by
Large scale collaboration with autonomy: Decentralized data ICA
BT Baker, RF Silva, VD Calhoun, AD Sarwate, SM Plis
2015 IEEE 25th international workshop on machine learning for signal …, 2015
Decentralized temporal independent component analysis: leveraging fMRI data in collaborative settings
BT Baker, A Abrol, RF Silva, E Damaraju, AD Sarwate, VD Calhoun, ...
NeuroImage 186, 557-569, 2019
Decentralized analysis of brain imaging data: Voxel-based morphometry and dynamic functional network connectivity
H Gazula, BT Baker, E Damaraju, SM Plis, SR Panta, RF Silva, ...
Frontiers in neuroinformatics 12, 375147, 2018
Coinstac: Collaborative informatics and neuroimaging suite toolkit for anonymous computation
H Gazula, R Kelly, J Romero, E Verner, BT Baker, RF Silva, H Imtiaz, ...
Journal of Open Source Software 5 (54), 2166, 2020
Privacy-preserving source separation for distributed data using independent component analysis
H Imtiaz, R Silva, B Baker, SM Plis, AD Sarwate, V Calhoun
2016 Annual Conference on Information Science and Systems (CISS), 123-127, 2016
2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)
BT Baker, RF Silva, VD Calhoun, AD Sarwate, SM Plis
A method for estimating and characterizing explicitly nonlinear dynamic functional network connectivity in resting-state fMRI data
SM Motlaghian, V Vahidi, B Baker, A Belger, JR Bustillo, A Faghiri, ...
Journal of neuroscience methods 389, 109794, 2023
Decentralized dynamic functional network connectivity: State analysis in collaborative settings
BT Baker, E Damaraju, RF Silva, SM Plis, VD Calhoun
Human brain mapping 41 (11), 2909-2925, 2020
Improved differentially private decentralized source separation for fMRI data
H Imtiaz, J Mohammadi, R Silva, B Baker, SM Plis, AD Sarwate, ...
arXiv preprint arXiv:1910.12913, 2019
Brainforge: An online data analysis platform for integrative neuroimaging acquisition, analysis, and sharing
E Verner, H Petropoulos, B Baker, HJ Bockholt, J Fries, A Bohsali, R Raja, ...
Concurrency and Computation: Practice and Experience 35 (18), e6855, 2023
A correlated noise-assisted decentralized differentially private estimation protocol, and its application to fMRI source separation
H Imtiaz, J Mohammadi, R Silva, B Baker, SM Plis, AD Sarwate, ...
IEEE Transactions on Signal Processing 69, 6355-6370, 2021
Multi-study evaluation of neuroimaging-based prediction of medication class in mood disorders
MS Salman, E Verner, HJ Bockholt, Z Fu, M Misiura, BT Baker, E Osuch, ...
Psychiatry Research: Neuroimaging 333, 111655, 2023
Decentralized spatially constrained source-based morphometry
DK Saha, RF Silva, BT Baker, VD Calhoun
2022 IEEE 19th international symposium on biomedical imaging (ISBI), 1-5, 2022
Individualized spatial network predictions using siamese convolutional neural networks: A resting-state fmri study of over 11,000 unaffected individuals
R Hassanzadeh, RF Silva, A Abrol, M Salman, A Bonkhoff, Y Du, Z Fu, ...
PloS one 17 (1), e0249502, 2022
Low-Rank Learning by Design: the Role of Network Architecture and Activation Linearity in Gradient Rank Collapse
BT Baker, BA Pearlmutter, R Miller, VD Calhoun, SM Plis
arXiv preprint arXiv:2402.06751, 2024
Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility
D Martin, S Basodi, S Panta, K Rootes-Murdy, P Prae, AD Sarwate, ...
Frontiers in Neuroinformatics 17, 1207721, 2023
Peering beyond the gradient veil with distributed auto differentiation
BT Baker, A Khanal, VD Calhoun, B Pearlmutter, SM Plis
arXiv preprint arXiv:2102.09631, 2021
Efficient distributed auto-differentiation
BT Baker, VD Calhoun, B Pearlmutter, SM Plis
arXiv: 2102.09631, 2021
Spectral Introspection Identifies Group Training Dynamics in Deep Neural Networks for Neuroimaging
BT Baker, VD Calhoun, SM Plis
arXiv preprint arXiv:2406.11825, 2024
Multiscale Neuroimaging Features for the Identification of Medication Class and Non-Responders in Mood Disorder Treatment
BT Baker, MS Salman, Z Fu, A Iraji, E Osuch, J Bockholt, VD Calhoun
arXiv preprint arXiv:2402.07858, 2024
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