BundleMAP: Anatomically localized classification, regression, and hypothesis testing in diffusion MRI

Author:

Khatami Mohammad,Schmidt-Wilcke Tobias,Sundgren Pia C.,Abbasloo Amin,Schölkopf Bernhard,Schultz Thomas

Funder

DFG

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference42 articles.

1. D.K. Jones (Ed.), Diffusion MRI: Theory, Method, and Applications, Oxford University Press, 2011.

2. Y. Rathi, J. Malcolm, O. Michailovich, J. Goldstein, L. Seidman, R.W. McCarley, C.-F. Westin, M.E. Shenton, Biomarkers for identifying first-episode schizophrenia patients using diffusion weighted imaging, in: Proceedings of the Medical Image Analysis and Computer-Assisted Intervention (MICCAI) Part I, Vol. 6361 of LNCS, Springer, 2010, pp. 657–665.

3. Enriched white matter connectivity networks for accurate identification of MCI patients;Wee;NeuroImage,2011

4. Automated detection of amnestic mild cognitive impairment in community-dwelling elderly adults: a combined spatial atrophy and white matter alteration approach;Cui;NeuroImage,2012

5. Statistical and Machine Learning Methods for Neuroimaging: Examples, Challenges, and Extensions to Diffusion Imaging Data;O'Donnell,2015

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