An end-to-end multimodal 3D CNN framework with multi-level features for the prediction of mild cognitive impairment-Reference-Cited by-同舟云学术

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An end-to-end multimodal 3D CNN framework with multi-level features for the prediction of mild cognitive impairment

Published:2023-12 Issue: Volume:281 Page:111064
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Zhang Yanteng^ORCID,He Xiaohai^ORCID,Liu Yixin,Ong Charlene Zhi Lin^ORCID,Liu Yan,Teng Qizhi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference51 articles.

1. The neuropathological diagnosis of Alzheimer's disease;Deture;Mol. Neurodegener.,2019

2. Mild cognitive impairment;Petersen;Lancet,1979

3. Dementia: timely diagnosis and early intervention;Robinson;BMJ,2015

4. A survey on deep learning for neuroimaging-based brain disorder analysis;Zhang;Front. Neurosci.,2020

5. On the early diagnosis of Alzheimer's Disease from multimodal signals: a survey;Alberdi;Artif. Intell. Med.,2016

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4. Enhancing Alzheimer’s disease diagnosis and staging: a multistage CNN framework using MRI;Frontiers in Psychiatry;2024-06-24

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