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Updated: Jun 30, 2026

Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment
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Application of Granger Causality Analysis of the Directed Functional Connection in Alzheimer's Disease and Mild Cognitive Impairment

Published on: August 7, 2017

在阿尔茨海默病的认知状态和结构性大脑变化之间的关联:轻量级深度学习辅助诊断的临床含义

Po-Hsuan Hsieh1, Ya-Fang Chen2, Ta-Fu Chen3

  • 1Department of Biomedical Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Road, Taipei 106, Taiwan.

European journal of radiology
|January 20, 2026
PubMed
概括

一个新的轻量级深度学习模型通过分析大脑结构来准确诊断阿尔茨海默病 (AD),为临床使用提供了一个实用,可解释的工具. 这种方法有助于通过脑成像来评估认知状态.

关键词:
阿尔茨海默氏症是阿尔茨海默氏症的一种疾病.深度学习是一种深度学习.痴呆症是一种痴呆症.磁共振成像技术 磁共振成像技术

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DeepOmicsAE: Representing Signaling Modules in Alzheimer's Disease with Deep Learning Analysis of Proteomics, Metabolomics, and Clinical Data09:47

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