A Convolutional Neural Network Using Multimodal Retinal Imaging for Differentiation of Mild Cognitive Impairment from Normal Cognition-Reference-Cited by-同舟云学术

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A Convolutional Neural Network Using Multimodal Retinal Imaging for Differentiation of Mild Cognitive Impairment from Normal Cognition

Published:2024-01 Issue:1 Volume:4 Page:100355
ISSN:2666-9145
Container-title:Ophthalmology Science
language:en
Short-container-title:Ophthalmology Science

Author:

Wisely C. Ellis,Richardson Alexander,Henao Ricardo,Robbins Cason B.,Ma Justin P.,Wang Dong,Johnson Kim G.,Liu Andy J.,Grewal Dilraj S.,Fekrat Sharon

Funder

Alzheimer's Drug Discovery Foundation

Publisher

Elsevier BV

Subject

Ophthalmology

Reference41 articles.

1. Introduction to the recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease;Jack;Alzheimers Dement,2011

2. Mild cognitive impairment: disparity of incidence and prevalence estimates;Ward;Alzheimers Dement,2012

3. Mild cognitive impariment: clinical characterization and outcome;Petersen;Arch Neurol,1999

4. Baseline amnestic severity predicts progression from amnestic mild cognitive impairment to Alzheimer disease dementia at 3 years;Bradfield;Alzheimer Dis Assoc Disord,2018

5. Estimating Alzheimer's disease progression rates from normal cognition through mild cognitive impairment and stages of dementia;Davis;Curr Alzheimer Res,2018

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1. Multimodal Retinal Imaging Classification for Parkinson's Disease Using a Convolutional Neural Network;Translational Vision Science & Technology;2024-08-13

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3. SLO-Net: Enhancing Multiple Sclerosis Diagnosis Beyond Optical Coherence Tomography Using Infrared Reflectance Scanning Laser Ophthalmoscopy Images;Translational Vision Science & Technology;2024-07-26

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5. Automated Diagnosis of Alzheimer’s Disease Using OCT and OCTA: A Systematic Review;IEEE Access;2024

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