| Extraction of time-varying spatiotemporal networks using parameter-tuned constrained IVA S Bhinge, R Mowakeaa, VD Calhoun, T Adalı IEEE transactions on medical imaging 38 (7), 1715-1725, 2019 | 51 | 2019 |
| Independent vector analysis for common subspace analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia Q Long, S Bhinge, VD Calhoun, T Adali NeuroImage 216, 116872, 2020 | 43 | 2020 |
| Spatial dynamic functional connectivity analysis identifies distinctive biomarkers in schizophrenia S Bhinge, Q Long, VD Calhoun, T Adali Frontiers in neuroscience 13, 1006, 2019 | 41 | 2019 |
| Non-orthogonal constrained independent vector analysis: Application to data fusion S Bhinge, Q Long, Y Levin-Schwartz, Z Boukouvalas, VD Calhoun, ... 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 27 | 2017 |
| Consecutive independence and correlation transform for multimodal fusion: Application to EEG and fMRI data MABS Akhonda, Y Levin-Schwartz, S Bhinge, VD Calhoun, T Adali 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 25 | 2018 |
| The role of diversity in data‐driven analysis of multi‐subject fMRI data: Comparison of approaches based on independence and sparsity using global performance metrics Q Long, S Bhinge, Y Levin‐Schwartz, Z Boukouvalas, VD Calhoun, ... Human brain mapping 40 (2), 489-504, 2019 | 24 | 2019 |
| Tracing network evolution using the PARAFAC2 model M Roald, S Bhinge, C Jia, V Calhoun, T Adalı, E Acar ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 16 | 2020 |
| Adaptive constrained independent vector analysis: An effective solution for analysis of large-scale medical imaging data S Bhinge, Q Long, VD Calhoun, T Adalı IEEE journal of selected topics in signal processing 14 (6), 1255-1264, 2020 | 11 | 2020 |
| Data-driven fusion of multi-camera video sequences: Application to abandoned object detection S Bhinge, Y Levin-Schwartz, T Adalı 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 10 | 2017 |
| Disjoint subspaces for common and distinct component analysis: Application to the fusion of multi-task FMRI data MABS Akhonda, B Gabrielson, S Bhinge, VD Calhoun, T Adali Journal of neuroscience methods 358, 109214, 2021 | 9 | 2021 |
| Estimation of common subspace order across multiple datasets: Application to multi-subject fMRI data S Bhinge, Y Levin-Schwartz, T Adalı 2017 51st Annual Conference on Information Sciences and Systems (CISS), 1-5, 2017 | 9 | 2017 |
| A data-driven solution for abandoned object detection: Advantages of multiple types of diversity S Bhinge, Y Levin-Schwartz, GS Fu, B Pesquet-Popescu, T Adalı 2015 IEEE global conference on signal and information processing (GlobalSIP …, 2015 | 9 | 2015 |
| Graph-theoretical analysis identifies transient spatial states of resting-state dynamic functional network connectivity and reveals dysconnectivity in schizophrenia Q Long, S Bhinge, VD Calhoun, T Adali Journal of neuroscience methods 350, 109039, 2021 | 8 | 2021 |
| 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 | 6 | 2020 |
| IVA for abandoned object detection: Exploiting dependence across color channels S Bhinge, Z Boukouvalas, Y Levin-Schwartz, T Adali 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 6 | 2016 |
| Data-driven spatio-temporal dynamic brain connectivity analysis using falff: application to sensorimotor task data KM Hossain, S Bhinge, Q Long, VD Calhoun, T Adali 2022 56th Annual Conference on Information Sciences and Systems (CISS), 200-205, 2022 | 5 | 2022 |
| Disjoint subspaces for common and distinct component analysis: Application to task FMRI data MABS Akhonda, Q Long, S Bhinge, VD Calhoun, T Adali 2019 53rd Annual Conference on Information Sciences and Systems (CISS), 1-6, 2019 | 5 | 2019 |
| Relationship between dynamic blood-oxygen-level-dependent activity and functional network connectivity: characterization of schizophrenia subgroups Q Long, S Bhinge, VD Calhoun, T Adali Brain Connectivity 11 (6), 430-446, 2021 | 4 | 2021 |
| Identification of subgroup differences using iva: application to fMRI data fusion Z Luo, Q Long, S Bhinge, MABS Akhonda, T Adali 2020 42nd Annual International Conference of the IEEE Engineering in …, 2020 | 4 | 2020 |
| A graph theoretical approach for performance comparison of ICA for fMRI analysis Q Long, S Bhinge, Y Levin-Schwartz, VD Calhoun, T Adalı 2017 51st Annual Conference on Information Sciences and Systems (CISS), 1-6, 2017 | 4 | 2017 |
Tulay AdaliDistinguished University Professor, University of Maryland, Baltimore CountyZweryfikowany adres z umbc.edu