Generative adversarial network constrained multiple loss autoencoder: A deep learning-based individual atrophy detection for Alzheimer's disease and mild cognitive impairment
机构：[1]School of Information and Communication Engineering, Shanghai University, Shanghai, China.[2]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.神经科系统神经内科首都医科大学宣武医院[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.
Foundation for the National Institutes of
Health, Grant/Award Number: U01
AG024904; Science and Technology
Innovation 2030 Major Projects, Grant/Award
Number: 2022ZD0211600; U.S. Department
of Defense, Grant/Award Number: W81XWH12-2-0012; National Natural Science
Foundation of China, Grant/Award Numbers:
81830059, 61603236, 82020108013,
61633018; National Key Research and
Development Program of China, Grant/Award
Numbers: 2018YFC1707704,
2018YFC1312000, 2016YFC1306300; 111
Project, Grant/Award Number: D20031;
Shanghai Municipal Science and Technology Major Project, Grant/Award Number:
017SHZDZX01; Beijing Municipal Commission
of Health and Family Planning, Grant/Award
Number: PXM2020_026283_000002;
National Institute of Aging and the National
Institute of Biomedical Imaging and
Bioengineering
语种：
外文
被引次数：
WOS：
PubmedID：
中科院(CAS)分区：
出版当年[2022]版：
大类|2 区医学
小类|2 区神经成像2 区神经科学2 区核医学
最新[2025]版：
大类|2 区医学
小类|2 区神经成像2 区核医学3 区神经科学
JCR分区：
出版当年[2021]版：
Q1NEUROIMAGINGQ1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGINGQ2NEUROSCIENCES
最新[2024]版：
Q1RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGINGQ2NEUROIMAGINGQ2NEUROSCIENCES
第一作者机构：[1]School of Information and Communication Engineering, Shanghai University, Shanghai, China.
共同第一作者：
通讯作者：
通讯机构：[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.[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.[*1]Institute of Biomedical Engineering, School of Information and Communication Engineering, Shanghai University, Shanghai 200444, China[*2]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing 100053, China.
推荐引用方式(GB/T 7714)：
Shi Rong,Sheng Can,Jin Shichen,et al.Generative adversarial network constrained multiple loss autoencoder: A deep learning-based individual atrophy detection for Alzheimer's disease and mild cognitive impairment[J].HUMAN BRAIN MAPPING.2023,44(3):1129-1146.doi:10.1002/hbm.26146.
APA：
Shi Rong,Sheng Can,Jin Shichen,Zhang Qi,Zhang Shuoyan...&Jiang Jiehui.(2023).Generative adversarial network constrained multiple loss autoencoder: A deep learning-based individual atrophy detection for Alzheimer's disease and mild cognitive impairment.HUMAN BRAIN MAPPING,44,(3)
MLA：
Shi Rong,et al."Generative adversarial network constrained multiple loss autoencoder: A deep learning-based individual atrophy detection for Alzheimer's disease and mild cognitive impairment".HUMAN BRAIN MAPPING 44..3(2023):1129-1146
医学