Structural MRI-based detection of Alzheimer's disease using feature ranking and classification error
Authors:
- 1 December 2016
- journal article
- Published by Elsevier in Computer Methods and Programs in Biomedicine
- Vol. 137, 177-193
Abstract
No abstract availableKeywords
Funding Information
- Japan Agency for Medical Research and Development (16dm0207017h0003)
- Beijing Nova Program (xx2016120)
- National Natural Science Foundation of China (81101107, 31640035)
- Natural Science Foundation of Beijing (4162008)
- Beijing Educational Committee (CIT&TCD201404053)
This publication has 68 references indexed in Scilit:
- 2014 Update of the Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inceptionAlzheimer's & Dementia, 2015
- Standardized evaluation of algorithms for computer-aided diagnosis of dementia based on structural MRI: The CADDementia challengeNeuroImage, 2015
- Early diagnosis of Alzheimer׳s disease based on partial least squares, principal component analysis and support vector machine using segmented MRI imagesNeurocomputing, 2015
- A lattice computing approach to Alzheimer’s disease computer assisted diagnosis based on MRI dataNeurocomputing, 2015
- Machine learning framework for early MRI-based Alzheimer's conversion prediction in MCI subjectsNeuroImage, 2015
- Discriminative analysis of multivariate features from structural MRI and diffusion tensor imagesMagnetic Resonance Imaging, 2014
- Evolutionary ELM wrapper feature selection for Alzheimer's disease CAD on anatomical brain MRINeurocomputing, 2014
- Different multivariate techniques for automated classification of MRI data in Alzheimer’s disease and mild cognitive impairmentPsychiatry Research: Neuroimaging, 2013
- Combining MRI and CSF measures for classification of Alzheimer's disease and prediction of mild cognitive impairment conversionNeuroImage, 2012
- Multimodal classification of Alzheimer's disease and mild cognitive impairmentNeuroImage, 2011