Multidimensional classification of hippocampal shape features discriminates Alzheimer's disease and mild cognitive impairment from normal aging
- 20 May 2009
- journal article
- research article
- Published by Elsevier in NeuroImage
- Vol. 47 (4), 1476-1486
- https://doi.org/10.1016/j.neuroimage.2009.05.036
Abstract
No abstract availableKeywords
All Related Versions
This publication has 66 references indexed in Scilit:
- Automatic segmentation of the hippocampus and the amygdala driven by hybrid constraints: Method and validationNeuroImage, 2009
- Individual patient diagnosis of AD and FTD via high-dimensional pattern classification of MRINeuroImage, 2008
- Automatic classification of MR scans in Alzheimer's diseaseBrain, 2008
- Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive declineNeuroImage, 2007
- Alzheimer's disease diagnosis in individual subjects using structural MR images: Validation studiesNeuroImage, 2007
- Direct mapping of hippocampal surfaces with intrinsic shape contextNeuroImage, 2007
- Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imagingNeurobiology of Aging, 2006
- Global prevalence of dementia: a Delphi consensus studyThe Lancet, 2005
- Donepezil for the symptomatic treatment of patients with mild to moderate Alzheimer's disease: a meta‐analysis of individual patient data from randomised controlled trialsInternational Journal of Geriatric Psychiatry, 2004
- Clinical diagnosis of Alzheimer's diseaseNeurology, 1984