Advancing Mild Cognitive Impairment Detection: Integrating VR, MRI, and Neuropsychological Insights for Comprehensive Diagnosis-Reference-Cited by-同舟云学术

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Advancing Mild Cognitive Impairment Detection: Integrating VR, MRI, and Neuropsychological Insights for Comprehensive Diagnosis

Published:2024-07-02 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Technical Conference on Circuits/Systems, Computers, and Communications (ITC-CSCC)
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Author:

Park Bogyeom¹,Park Jinseok²,Choi Hojin²,Ryu Hokyoung³,Seo Kyoungwon¹

Affiliation:

1. Seoul National University of Science and Technology,Department of Applied Artificial Intelligence,Seoul,Republic of Korea

2. College of Medicine, Hanyang University,Department of Neurology,Seoul,Republic of Korea

3. Graduate School of Technology and Innovation Management, Hanyang University,Seoul,Republic of Korea

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10628105/10628121/10628151.pdf?arnumber=10628151

Reference16 articles.

1. Alzheimer's disease

2. Multimodality Alzheimer's Disease Analysis in Deep Riemannian Manifold

3. A review on Alzheimer’s disease classification from normal controls and mild cognitive impairment using structural MR images

4. EARLY DETECTION OF MILD COGNITIVE IMPAIRMENT (MCI) IN PRIMARY CARE

5. Voxel-based morphometry and a deep learning model for the diagnosis of early Alzheimer’s disease based on cerebral gray matter changes

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