Predicting primary progressive aphasias with support vector machine approaches in structural MRI data

Erstveröffentlichung

2017

Authors

Bisenius, Sandrine

Mueller, Karsten

Diehl-Schmid, Janine

Fassbender, Klaus

Grimmer, Timo

et al.

Wissenschaftlicher Artikel

Published in

NeuroImage: Clinical ; 14 (2017). - S. 334-343. - ISSN 2213-1582

Link to publication

https://dx.doi.org/10.1016/j.nicl.2017.02.003

Institutions

UKU. Klinik für Neurologie

Project uulm

FTLDc / Verbundprojekt: Kompetenznetz Demenzen - FTLD: Teilprojekte der Universität Ulm / BMBF / 01GI1007A

Subject headings

[Free subject headings]: Grey matter | Multi-center | Primary progressive aphasia | Support vector machine classification | Whole brain approach | frontotemporal lobar degeneration | dimensional pattern-classification | mild cognitive impairment | voxel-based morphometry | alzheimers-disease | semantic dementia | brain atrophy | mci patients | diagnosis | prevalence
[DDC subject group]: DDC 610 / Medicine & health

Metadata

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