| Multimodal data fusion using source separation: Application to medical imaging T Adali, Y Levin-Schwartz, VD Calhoun Proceedings of the IEEE 103 (9), 1494-1506, 2015 | 63 | 2015 |
| Multimodal data fusion using source separation: Two effective models based on ICA and IVA and their properties T Adali, Y Levin-Schwartz, VD Calhoun Proceedings of the IEEE 103 (9), 1478-1493, 2015 | 52 | 2015 |
| Quantifying the interaction and contribution of multiple datasets in fusion: Application to the detection of schizophrenia Y Levin-Schwartz, VD Calhoun, T Adalı IEEE transactions on medical imaging 36 (7), 1385-1395, 2017 | 26 | 2017 |
| The role of diversity in complex ICA algorithms for fMRI analysis W Du, Y Levin-Schwartz, GS Fu, S Ma, VD Calhoun, T Adalı Journal of Neuroscience Methods 264, 129-135, 2016 | 26 | 2016 |
| Tensor-based fusion of EEG and FMRI to understand neurological changes in schizophrenia E Acar, Y Levin-Schwartz, VD Calhoun, T Adali 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017 | 24 | 2017 |
| Machine learning for medical imaging GS Fu, Y Levin-Schwartz, QH Lin, D Zhang Journal of healthcare engineering 2019, 2019 | 22 | 2019 |
| Resting-state fMRI dynamics and null models: perspectives, sampling variability, and simulations RL Miller, A Abrol, T Adali, Y Levin-Schwarz, VD Calhoun Frontiers in neuroscience 12, 551, 2018 | 22 | 2018 |
| Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data Y Levin-Schwartz, Y Song, PJ Schreier, VD Calhoun, T Adalı NeuroImage 134, 486-493, 2016 | 21 | 2016 |
| Sparsity and independence: Balancing two objectives in optimization for source separation with application to fMRI analysis Z Boukouvalas, Y Levin-Schwartz, VD Calhoun, T Adalı Journal of the Franklin Institute 355 (4), 1873-1887, 2018 | 14 | 2018 |
| ACMTF for fusion of multi-modal neuroimaging data and identification of biomarkers E Acar, Y Levin-Schwartz, VD Calhoun, T Adali 2017 25th European Signal Processing Conference (EUSIPCO), 643-647, 2017 | 13 | 2017 |
| 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 | 11 | 2017 |
| Unraveling diagnostic biomarkers of schizophrenia through structure-revealing fusion of multi-modal neuroimaging data E Acar, C Schenker, Y Levin-Schwartz, VD Calhoun, T Adali Frontiers in neuroscience 13, 416, 2019 | 10 | 2019 |
| Enhancing ICA performance by exploiting sparsity: Application to FMRI analysis Z Boukouvalas, Y Levin-Schwartz, T Adalı 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 9 | 2017 |
| 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 | 8 | 2019 |
| 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 | 8 | 2017 |
| Parameter-free automated extraction of neuronal signals from calcium imaging data Y Levin-Schwartz, DR Sparta, JF Cheer, T Adalı 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 8 | 2017 |
| Time-varying associations between prenatal metal mixtures and rapid visual processing in children Y Levin-Schwartz, C Gennings, L Schnaas, MCH Chávez, DC Bellinger, ... Environmental Health 18 (1), 1-12, 2019 | 7 | 2019 |
| 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 | 7 | 2018 |
| Data-driven fusion of EEG, functional and structural MRI: A comparison of two models Y Levin-Schwartz, VD Calhoun, T Adalı 2014 48th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2014 | 7 | 2014 |
| 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 | 6 | 2015 |
Tulay AdaliDistinguished University Professor, University of Maryland, Baltimore CountyVerified email at umbc.edu
