Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization

Title
Finding imaging patterns of structural covariance via Non-Negative Matrix Factorization
Authors
Keywords
Data analysis, Structural covariance, Non-Negative Matrix Factorization, Principal Component Analysis, Independent Component Analysis, Diffusion Tensor Imaging, Fractional anisotropy, Structural Magnetic Resonance Imaging, Gray matter, RAVENS
Journal
NEUROIMAGE
Volume 108, Issue -, Pages 1-16
Publisher
Elsevier BV
Online
2014-12-12
DOI
10.1016/j.neuroimage.2014.11.045

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now