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Yuri Levin-Schwartz, Ph.D.

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Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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  1. Acar E, Schenker C, Levin-Schwartz Y, Calhoun VD, Adali T. Unraveling Diagnostic Biomarkers of Schizophrenia Through Structure-Revealing Fusion of Multi-Modal Neuroimaging Data. Front Neurosci. 2019; 13:416. PMID: 31130835.
    Citations:    
  2. Levin-Schwartz Y, Calhoun VD, Adali T. A method to compare the discriminatory power of data-driven methods: Application to ICA and IVA. J Neurosci Methods. 2019 Jan 01; 311:267-276. PMID: 30389489.
    Citations:    Fields:    
  3. Long Q, Bhinge S, Levin-Schwartz Y, Boukouvalas Z, Calhoun VD, Adali T. 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. Hum Brain Mapp. 2019 Feb 01; 40(2):489-504. PMID: 30240499.
    Citations:    Fields:    
  4. Levin-Schwartz Y, Calhoun VD, Adali T. Quantifying the Interaction and Contribution of Multiple Datasets in Fusion: Application to the Detection of Schizophrenia. IEEE Trans Med Imaging. 2017 07; 36(7):1385-1395. PMID: 28287964.
    Citations: 1     Fields:    Translation:Humans
  5. Levin-Schwartz Y, Song Y, Schreier PJ, Calhoun VD, Adali T. Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data. Neuroimage. 2016 07 01; 134:486-493. PMID: 27039696.
    Citations: 3     Fields:    Translation:Humans
  6. Du W, Levin-Schwartz Y, Fu GS, Ma S, Calhoun VD, Adali T. The role of diversity in complex ICA algorithms for fMRI analysis. J Neurosci Methods. 2016 May 01; 264:129-135. PMID: 26993820.
    Citations: 3     Fields:    Translation:Humans
  7. Adali T, Levin-Schwartz Y, Calhoun VD. Multi-modal data fusion using source separation: Two effective models based on ICA and IVA and their properties. Proc IEEE Inst Electr Electron Eng. 2015 Sep 01; 103(9):1478-93. PMID: 26525830.
    Citations: 5     
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Funded by the NIH/NCATS Clinical and Translational Science Award (CTSA) program, grant number UL1TR001102, and through institutional support from Harvard University, Harvard Medical School, Harvard T.H. Chan School of Public Health, Beth Israel Deaconess Medical Center, Boston Children's Hospital, Brigham and Women's Hospital, Massachusetts General Hospital and the Dana Farber Cancer Institute.