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Yuri Levin-Schwartz
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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
1042015
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
922015
Machine learning for medical imaging
GS Fu, Y Levin-Schwartz, QH Lin, D Zhang
Journal of healthcare engineering 2019, 2019
592019
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
492017
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
402017
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, 443155, 2019
392019
Time-varying associations between prenatal metal mixtures and rapid visual processing in children
Y Levin-Schwartz, C Gennings, L Schnaas, ...
Environmental Health 18, 1-12, 2019
342019
Resting-state fMRI dynamics and null models: perspectives, sampling variability, and simulations
RL Miller, A Abrol, T Adali, VD Calhoun
Frontiers in neuroscience 12, 353995, 2018
342018
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
332016
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
292017
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
292016
Integrated measures of lead and manganese exposure improve estimation of their joint effects on cognition in Italian school-age children
Y Levin-Schwartz, BC Henn, C Gennings, BA Coull, D Placidi, MK Horton, ...
Environment international 146, 106312, 2021
262021
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
262018
Sex-specific associations between co-exposure to multiple metals and visuospatial learning in early adolescence
E Rechtman, P Curtin, DM Papazaharias, S Renzetti, G Cagna, M Peli, ...
Translational psychiatry 10 (1), 358, 2020
252020
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
222018
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
202019
Prenatal metal mixtures and sex-specific infant negative affectivity
W Cowell, E Colicino, Y Levin-Schwartz, MB Enlow, C Amarasiriwardena, ...
Environmental Epidemiology 5 (2), e147, 2021
192021
Multi-media biomarkers: Integrating information to improve lead exposure assessment
Y Levin-Schwartz, C Gennings, BC Henn, BA Coull, D Placidi, R Lucchini, ...
Environmental research 183, 109148, 2020
182020
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
182017
Metal mixtures are associated with increased anxiety during pregnancy
Y Levin-Schwartz, W Cowell, HHL Hsu, MB Enlow, C Amarasiriwardena, ...
Environmental research 204, 112276, 2022
122022
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