Applying a deep learning approach focusing on spatiotemporal features in early diagnosis of Alzheimer's disease-Reference-Cited by-同舟云学术

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Applying a deep learning approach focusing on spatiotemporal features in early diagnosis of Alzheimer's disease

Published:2021-12 Issue:S12 Volume:17 Page:
ISSN:1552-5260
Container-title:Alzheimer's & Dementia
language:en
Short-container-title:Alzheimer's & Dementia

Author:

Babatope Eyitomilayo Yemisi¹,Acosta‐Franco Jesus Alejandro²,García‐Vázquez Mireya Saraí³,Ramírez‐Acosta Alejandro Álvaro⁴,Citedi‐IPN APIM Laboratory¹

Affiliation:

1. Instituto Politécnico Nacional, CITEDI Tijuana BJ Mexico

2. Instituto Politécnico Nacional Tijuana BJ Mexico

3. IPN Tijuana BJ Mexico

4. MIRAL R&D&I Multimedia San Diego CA USA

Publisher

Wiley

Subject

Psychiatry and Mental health,Cellular and Molecular Neuroscience,Geriatrics and Gerontology,Neurology (clinical),Developmental Neuroscience,Health Policy,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/alz.058635

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Network pharmacology identify intersection genes of quercetin and Alzheimer’s disease as potential therapeutic targets;Frontiers in Aging Neuroscience;2022-08-23

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