Yuri Levin-Schwartz
Title
Cited by
Cited by
Year
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
672015
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
572015
Machine learning for medical imaging
GS Fu, Y Levin-Schwartz, QH Lin, D Zhang
Journal of healthcare engineering 2019, 2019
282019
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
272017
Quantifying the interaction and contribution of multiple datasets in fusion: Application to the detection of schizophrenia
Y Levin-Schwartz, VD Calhoun, T Adalý
IEEE transactions on medical imaging 36 (7), 1385-1395, 2017
272017
The role of diversity in complex ICA algorithms for fMRI analysis
W Du, Y Levin-Schwartz, GS Fu, S Ma, VD Calhoun, T Adalý
Journal of Neuroscience Methods 264, 129-135, 2016
262016
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
222018
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 Adalý
NeuroImage 134, 486-493, 2016
222016
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
162017
Sparsity and independence: Balancing two objectives in optimization for source separation with application to fMRI analysis
Z Boukouvalas, Y Levin-Schwartz, VD Calhoun, T Adalý
Journal of the Franklin Institute 355 (4), 1873-1887, 2018
142018
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
122017
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
112019
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
102019
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
92019
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
92018
Data-driven fusion of multi-camera video sequences: Application to abandoned object detection
S Bhinge, Y Levin-Schwartz, T Adalý
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
92017
Enhancing ICA performance by exploiting sparsity: Application to FMRI analysis
Z Boukouvalas, Y Levin-Schwartz, T Adalý
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
92017
Parameter-free automated extraction of neuronal signals from calcium imaging data
Y Levin-Schwartz, DR Sparta, JF Cheer, T Adalý
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
82017
Data-driven fusion of EEG, functional and structural MRI: A comparison of two models
Y Levin-Schwartz, VD Calhoun, T Adalý
2014 48th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2014
82014
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 Adalý
2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2015
62015
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Articles 1–20