Consistent run selection for independent component analysis: Application to fMRI analysis Q Long, C Jia, Z Boukouvalas, B Gabrielson, D Emge, T Adali 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 34 | 2018 |
Disjoint subspaces for common and distinct component analysis: Application to the fusion of multi-task FMRI data M Akhonda, B Gabrielson, S Bhinge, VD Calhoun, T Adali Journal of neuroscience methods 358, 109214, 2021 | 10 | 2021 |
Complete model identification using independent vector analysis: application to the fusion of task FMRI data M Akhonda, B Gabrielson, VD Calhoun, T Adali 2021 IEEE Data Science and Learning Workshop (DSLW), 1-6, 2021 | 6 | 2021 |
A scalable approach to independent vector analysis by shared subspace separation for multi-subject fMRI analysis M Sun, B Gabrielson, MABS Akhonda, H Yang, F Laport, V Calhoun, ... Sensors 23 (11), 5333, 2023 | 4 | 2023 |
Independent vector analysis with multivariate Gaussian model: A scalable method by multilinear regression B Gabrielson, M Sun, MABS Akhonda, VD Calhoun, T Adali ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
An ICA-based framework for joint analysis of cognitive scores and MEG event-related fields P Boonyakitanont, B Gabrielson, I Belyaeva, P Olikkal, J Songsiri, ... 2022 44th Annual International Conference of the IEEE Engineering in …, 2022 | 4 | 2022 |
Joint-IVA for identification of discriminating features in EEG: Application to a driving study B Gabrielson, MABS Akhonda, S Bhinge, J Brooks, Q Long, T Adali Biomedical Signal Processing and Control 61, 101948, 2020 | 4 | 2020 |
ICA with orthogonality constraint: identifiability and a new efficient algorithm B Gabrielson, MABS Akhonda, Z Boukouvalas, SJ Kim, T Adali ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 3 | 2021 |
Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition I Belyaeva, B Gabrielson, YP Wang, TW Wilson, VD Calhoun, JM Stephen, ... IEEE Transactions on Biomedical Engineering, 2024 | 2 | 2024 |
Constrained independent component analysis based on entropy bound minimization for subgroup identification from multi-subject fMRI data H Yang, F Ghayem, B Gabrielson, MABS Akhonda, VD Calhoun, T Adali ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data I Belyaeva, B Gabrielson, YP Wang, TW Wilson, VD Calhoun, JM Stephen, ... Neuroinformatics 21 (1), 115-141, 2023 | 2 | 2023 |
A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis T Vu, H Yang, F Laport, B Gabrielson, VD Calhoun, T Adalı ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
A proximal approach to IVA-G with convergence guarantees C Cosserat, B Gabrielson, E Chouzenoux, JC Pesquet, T Adali ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
Identifying the Relationship Structure among Multiple Datasets Using Independent Vector Analysis: Application to Multi-task fMRI Data I Lehmann, T Hasija, B Gabrielson, MABS Akhonda, VD Calhoun, T Adali IEEE Access, 2024 | | 2024 |
An efficient analytic solution for joint blind source separation B Gabrielson, MABS Akhonda, I Lehmann, T Adali IEEE Transactions on Signal Processing, 2024 | | 2024 |
REGRESSION-ASSISTED INDEPENDENT VECTOR ANALYSIS: A SOLUTION TO LARGE-SCALE FMRI DATA ANALYSIS H Yang, B Gabrielson, VD Calhoun, T Adali 2023 57th Asilomar Conference on Signals, Systems, and Computers, 1443-1447, 2023 | | 2023 |
Correction to: Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data I Belyaeva, B Gabrielson, YP Wang, TW Wilson, VD Calhoun, JM Stephen, ... Neuroinformatics 21 (1), 143-143, 2023 | | 2023 |