Predicting the progression of mild cognitive impairment to Alzheimer’s disease by longitudinal magnetic resonance imaging-based dictionary learning-Reference-Cited by-同舟云学术

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Predicting the progression of mild cognitive impairment to Alzheimer’s disease by longitudinal magnetic resonance imaging-based dictionary learning

Published:2020-10 Issue:10 Volume:131 Page:2429-2439
ISSN:1388-2457
Container-title:Clinical Neurophysiology
language:en
Short-container-title:Clinical Neurophysiology

Author:

Lin Yanyan,Huang Kexin,Xu Hanxiao,Qiao Zhengzheng,Cai Suping,Wang Yubo,Huang Liyu

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Physiology (medical),Clinical Neurology,Neurology,Sensory Systems

Reference46 articles.

1. Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls;Arbabshirani;Neuroimage,2017

2. The projected effect of risk factor reduction on Alzheimer’s disease prevalence;Barnes;Lancet Neurol,2011

3. Differential cortical atrophy in subgroups of mild cognitive impairment;Bell-McGinty;Arch Neurol,2005

4. Forecasting the global burden of Alzheimer’s disease;Brookmeyer;Alzheimer’s Dement,2007

5. Chen P, Ratcliff G, Belle SH, Cauley JA, DeKosky ST, Ganguli M. Cognitive tests that best discriminate between presymptomatic AD and those who remain nondemented. Neurology 2000;55:1847–53. Available from: https://doi.org/10.1212/wnl.55.12.1847

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2. CirMNet: A Shape-Based Hybrid Feature Extraction Technique Using CNN and CMSMD for Alzheimer’s MRI Classification;IEEE Access;2024

3. Early Detection of Alzheimer’s Disease Using Medical Imaging: A Review of Intelligent Approaches;Lecture Notes in Electrical Engineering;2024

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