Generative adversarial network constrained multiple loss autoencoder: A deep learning‐based individual atrophy detection for Alzheimer's disease and mild cognitive impairment-Reference-Cited by-同舟云学术

Generative adversarial network constrained multiple loss autoencoder: A deep learning‐based individual atrophy detection for Alzheimer's disease and mild cognitive impairment

Published:2022-11-17 Issue:3 Volume:44 Page:1129-1146
ISSN:1065-9471
Container-title:Human Brain Mapping
language:en
Short-container-title:Human Brain Mapping

Author:

Shi Rong¹^ORCID,Sheng Can²,Jin Shichen¹,Zhang Qi¹,Zhang Shuoyan¹,Zhang Liang³,Ding Changchang¹^ORCID,Wang Luyao¹,Wang Lei⁴,Han Ying²³⁵⁶^ORCID,Jiang Jiehui⁷^ORCID

Affiliation:

1. School of Information and Communication Engineering Shanghai University Shanghai China

2. Department of Neurology Xuanwu Hospital of Capital Medical University Beijing China

3. Key Laboratory of Biomedical Engineering of Hainan Province School of Biomedical Engineering, Hainan University Haikou China

4. College of Computing and Informatics Drexel University Philadelphia Pennsylvania USA

5. Center of Alzheimer's Disease Beijing Institute for Brain Disorders Beijing China

6. National Clinical Research Center for Geriatric Disorders Beijing China

7. Institute of Biomedical Engineering School of Life Science, Shanghai University Shanghai China

Funder

Foundation for the National Institutes of Health

U.S. Department of Defense

National Natural Science Foundation of China

National Key Research and Development Program of China

Higher Education Discipline Innovation Project

Publisher

Wiley

Subject

Neurology (clinical),Neurology,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/hbm.26146

Reference51 articles.

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