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Yuri Levin Schwartz

Showing results (1-10 of 19) with videos related to

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Proceedings of the IEEE. Institute of Electrical and Electronics Engineers|November 4, 2015
Multi-modal data fusion using source separation: Two effective models based on ICA and IVA and their propertiesTülay Adali, Yuri Levin-Schwartz, Vince D Calhoun
Journal of Neuroscience Methods|November 4, 2018
A method to compare the discriminatory power of data-driven methods: Application to ICA and IVAYuri Levin-Schwartz, Vince D Calhoun, Tülay Adalı
IEEE Transactions on Medical Imaging|March 14, 2017
Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of SchizophreniaYuri Levin-Schwartz, Vince D Calhoun, Tulay Adali
Journal of Healthcare Engineering|June 12, 2019
Machine Learning for Medical ImagingGeng-Shen Fu, Yuri Levin-Schwartz, Qiu-Hua Lin, et al.
Frontiers in Neuroscience|May 28, 2019
Unraveling Diagnostic Biomarkers of Schizophrenia Through Structure-Revealing Fusion of Multi-Modal Neuroimaging DataEvrim Acar, Carla Schenker, Yuri Levin-Schwartz, et al.
Current Pollution Reports|January 10, 2022
Operationalizing the Exposome Using Passive Silicone SamplersZoe Coates Fuentes, Yuri Levin Schwartz, Anna R Robuck, et al.
Neuroimage|April 5, 2016
Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging dataYuri Levin-Schwartz, Yang Song, Peter J Schreier, et al.
Sensors (Basel, Switzerland)|February 15, 2022
Association of Neuroimaging Data with Behavioral Variables: A Class of Multivariate Methods and Their Comparison Using Multi-Task FMRI DataM A B S Akhonda, Yuri Levin-Schwartz, Vince D Calhoun, et al.
Human Brain Mapping|September 22, 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 metricsQunfang Long, Suchita Bhinge, Yuri Levin-Schwartz, et al.
Journal of Neuroscience Methods|March 20, 2016
The role of diversity in complex ICA algorithms for fMRI analysisWei Du, Yuri Levin-Schwartz, Geng-Shen Fu, et al.
Pageof 2

Showing results (1-10 of 19) with videos related to

Sort By:
Pageof 2
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers|November 4, 2015
Multi-modal data fusion using source separation: Two effective models based on ICA and IVA and their propertiesTülay Adali, Yuri Levin-Schwartz, Vince D Calhoun
Journal of Neuroscience Methods|November 4, 2018
A method to compare the discriminatory power of data-driven methods: Application to ICA and IVAYuri Levin-Schwartz, Vince D Calhoun, Tülay Adalı
IEEE Transactions on Medical Imaging|March 14, 2017
Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of SchizophreniaYuri Levin-Schwartz, Vince D Calhoun, Tulay Adali
Journal of Healthcare Engineering|June 12, 2019
Machine Learning for Medical ImagingGeng-Shen Fu, Yuri Levin-Schwartz, Qiu-Hua Lin, et al.
Frontiers in Neuroscience|May 28, 2019
Unraveling Diagnostic Biomarkers of Schizophrenia Through Structure-Revealing Fusion of Multi-Modal Neuroimaging DataEvrim Acar, Carla Schenker, Yuri Levin-Schwartz, et al.
Current Pollution Reports|January 10, 2022
Operationalizing the Exposome Using Passive Silicone SamplersZoe Coates Fuentes, Yuri Levin Schwartz, Anna R Robuck, et al.
Neuroimage|April 5, 2016
Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging dataYuri Levin-Schwartz, Yang Song, Peter J Schreier, et al.
Sensors (Basel, Switzerland)|February 15, 2022
Association of Neuroimaging Data with Behavioral Variables: A Class of Multivariate Methods and Their Comparison Using Multi-Task FMRI DataM A B S Akhonda, Yuri Levin-Schwartz, Vince D Calhoun, et al.
Human Brain Mapping|September 22, 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 metricsQunfang Long, Suchita Bhinge, Yuri Levin-Schwartz, et al.
Journal of Neuroscience Methods|March 20, 2016
The role of diversity in complex ICA algorithms for fMRI analysisWei Du, Yuri Levin-Schwartz, Geng-Shen Fu, et al.
Pageof 2