A joint CNN-GNN framework for early diagnosis of AD using multi-source multi-modal data-Reference-Cited by-同舟云学术

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A joint CNN-GNN framework for early diagnosis of AD using multi-source multi-modal data

Published:2023-12-05 Issue: Volume:46 Page:2407-2411
ISSN:
Container-title:2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Zhang Yanteng¹,He Xiaohai¹,Zhang Lipei²,Cai Qingyan³,Ren Xia⁴,Liu Yan⁵

Affiliation:

1. Sichuan University,College of Electronics and Information Engineering,Chengdu,China

2. University of Cambridge,Department of Applied Mathematics and Theoretical Physics,Cambridge,UK

3. The Forth People's Hospital of Chengdu,Department of Geriatric Medicine,Chengdu,China

4. Chengdu Yixinyuan Health Management Co., Ltd,Chengdu,China

5. The Third People's Hospital of Chengdu,Department of Neurology,Chengdu,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10385250/10385251/10385613.pdf?arnumber=10385613

Reference14 articles.

1. The neuropathological diagnosis of Alzheimer’s disease

2. Mild cognitive impairment

3. On the early diagnosis of Alzheimer's Disease from multimodal signals: A survey

4. Is a PET All You Need? A Multi-modal Study for Alzheimer’s Disease Using 3D CNNs

5. Fusion of deep learning models of MRI scans, Mini–Mental State Examination, and logical memory test enhances diagnosis of mild cognitive impairment

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