Oct 2, 2015 � We present BundleMAP, a novel method for extracting features from diffusion MRI (dMRI), which can be used to detect disease with supervised�...

Abstract. We present BundleMAP, a novel method for extracting fea- tures from diffusion MRI (dMRI), which can be used to detect disease.

We present BundleMAP, a novel method for extracting features from diffusion MRI (dMRI), which can be used to detect disease with supervised classification.

We present BundleMAP, an approach to extracting features from dMRI data that can be used for supervised classification, regression, and hypothesis testing.

BundleMAP: Anatomically Localized Features from dMRI for Detection of Disease. 2015. Conference Paper. ei. Author(s):, Khatami, M. and Schmidt-Wilcke, T. and�...

We present BundleMAP, an approach to extracting features from dMRI data that can be used for supervised classification, regression, and hypothesis testing. Our�...

We present BundleMAP, a novel method for extracting features from diffusion MRI (dMRI), which can be used to detect disease with supervised classification.

We present BundleMAP, a novel method for extracting features from diffusion MRI dMRI, which can be used to detect disease with supervised classification.

We present BundleMAP, a novel method for extracting features from diffusion MRI (dMRI), which can be used to detect disease with supervised classification.

BundleMAP: Anatomically Localized Features from dMRI for Detection of Disease ... Authors: Mohammad Khatami; Tobias Schmidt-Wilcke; Pia C. Sundgren; Amin Abbasloo�...