In this study, we use SCCA to identify related patterns of gray matter density loss and white matter impairment measured with FA. Moreover, we propose that the ...
Sep 2, 2015 · Sparse Canonical Correlation Analysis Reveals Correlated Patterns of Gray Matter Loss and White Matter Impairment in Alzheimer's Disease.
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Oct 2, 2013 · This study establishes that sparse canonical correlation analysis (SCCAN) identifies generalizable, structural MRI-derived cortical networks ...
Aug 25, 2017 · We used sparse canonical correlation analysis to show correlated regions of cortical thinning and WM microstructural changes. In pure ADD ...
This process is based on a novel computational model derived from sparse canonical correlation analysis (SCCA) that allows us to automatically identify mutually ...
Sparse canonical correlation analysis reveals correlated patterns of gray matter loss and white matter impairment in alzheimer's disease · Linked dimensions of ...
This study establishes that sparse canonical correlation analysis (SCCAN) identifies generalizable, structural MRI-derived cortical networks that relate to ...
Sparse canonical correlation analysis reveals correlated patterns of gray matter loss and white matter impairment in alzheimer's disease. ISBI 2015: 470-473 ...
SCCA revealed significantly correlated patterns of gray matter loss and white matter degeneration across the brain. Moreover degraded cortical-white matter ...
Mar 14, 2017 · We propose an analytical framework, based on three-way sparse canonical correlation analysis (T-SCCA), to explore the intrinsic associations among genetic ...