Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier-Reference-Cited by-同舟云学术

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Effects of hardware heterogeneity on the performance of SVM Alzheimer's disease classifier

Published:2011-10 Issue:3 Volume:58 Page:785-792
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Abdulkadir Ahmed,Mortamet Bénédicte,Vemuri Prashanthi,Jack Clifford R.,Krueger Gunnar,Klöppel Stefan

Funder

Centre d'ImagerieBioMédicale (CIBM)

Leenaards and Jeantet Foundations

Siemens Schweiz AG

NIH

Alzheimer's Disease Neuroimaging Initiative (ADNI)

Dana Foundation

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference30 articles.

1. The impact of skull-stripping and radio-frequency bias correction on grey-matter segmentation for voxel-based morphometry;Acosta-Cabronero;Neuroimage,2008

2. A fast diffeomorphic image registration algorithm;Ashburner;Neuroimage,2007

3. Voxel-based morphometry — the methods;Ashburner;Neuroimage,2000

4. Unified segmentation;Ashburner;Neuroimage,2005

5. In vivo mapping of gray matter loss with voxel-based morphometry in mild Alzheimer's disease;Baron;Neuroimage,2001

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