Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging-Reference-Cited by-同舟云学术

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Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging

Published:2018-05 Issue: Volume:344 Page:103-109
ISSN:0166-4328
Container-title:Behavioural Brain Research
language:en
Short-container-title:Behavioural Brain Research

Author:

Choi Hongyoon,Jin Kyong Hwan

Funder

Alzheimer's Disease Neuroimaging Initiative

DOD ADNI

National Institute on Aging

National Institute of Biomedical Imaging and Bioengineering

Publisher

Elsevier BV

Subject

Behavioral Neuroscience

Reference35 articles.

1. Toward defining the preclinical stages of Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease;Sperling;Alzheimer’s Dement.,2011

2. Clinical features and multidisciplinary approaches to dementia care;Grand;J. Multidiscip. Healthc.,2011

3. Multimodal techniques for diagnosis and prognosis of Alzheimer’s disease;Perrin;Nature,2009

4. Tracking pathophysiological processes in Alzheimer’s disease: an updated hypothetical model of dynamic biomarkers;Jack;Lancet Neurol.,2013

5. PET imaging of amyloid deposition in patients with mild cognitive impairment;Forsberg;Neurobiol. Aging,2008

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