SwePub - sökning: id:"swepub:oai:lup.lub.lu.se:6...

Träfflista för sökning "id:"swepub:oai:lup.lub.lu.se:6325aa4b-2b90-4a1f-9fc9-9acdf3b683ab" "

Sökning: id:"swepub:oai:lup.lub.lu.se:6325aa4b-2b90-4a1f-9fc9-9acdf3b683ab"

Sortera/gruppera träfflistan

Sortering: Träffar per sida:

Numrering	Referens	Omslagsbild	Hitta
1.	Khatami, Mohammad, et al. (författare) BundleMAP : Anatomically localized classification, regression, and hypothesis testing in diffusion MRI 2017 Ingår i: Pattern Recognition. - : Elsevier BV. - 0031-3203. ; 63, s. 593-600 Tidskriftsartikel (refereegranskat)abstract Diffusion MRI (dMRI) provides rich information on the white matter of the human brain, enabling insight into neurological disease, normal aging, and neuroplasticity. We present BundleMAP, an approach to extracting features from dMRI data that can be used for supervised classification, regression, and hypothesis testing. Our features are based on aggregating measurements along nerve fiber bundles, enabling visualization and anatomical interpretation. The main idea behind BundleMAP is to use the ISOMAP manifold learning technique to jointly parametrize nerve fiber bundles. We combine this idea with mechanisms for outlier removal and feature selection to obtain a practical machine learning pipeline. We demonstrate that it increases accuracy of disease detection and estimation of disease activity, and that it improves the power of statistical tests.

Skapa referenser, mejla, bekava och länka

Träfflista för sökning "id:"swepub:oai:lup.lub.lu.se:6325aa4b-2b90-4a1f-9fc9-9acdf3b683ab" "