TR-GAN: Multi-Session Future MRI Prediction With Temporal Recurrent Generative Adversarial Network

Author:

Fan Chen-Chen1ORCID,Peng Liang1ORCID,Wang Tian2,Yang Hongjun1ORCID,Zhou Xiao-Hu1ORCID,Ni Zhen-Liang1ORCID,Wang Guan'an1ORCID,Chen Sheng1,Zhou Yan-Jie1ORCID,Hou Zeng-Guang1ORCID

Affiliation:

1. State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China

2. Neuroscience and Intelligent Media Institute, Communication University of China, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Beijing Natural Science Foundation

Beijing Sci&Tech Program

Youth Innovation Promotion Association of Chinese Academy of Sciences

Strategic Priority Research Program of Chinese Academy of Science

Alzheimer’s Disease Neuroimaging Initiative (ADNI)

Department of Defense (DOD) ADNI

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Radiological and Ultrasound Technology,Software

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Classification and Detection of Alzheimer's Disease: A Brief Analysis;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18

2. Alzheimer Detection Using CNN and GAN Augmentation;2023 World Conference on Communication & Computing (WCONF);2023-07-14

3. Alzheimer Detection Using Tuner Optimization with Deep Learning Algorithm;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

4. Associations of multiple visual rating scales based on structural magnetic resonance imaging with disease severity and cerebrospinal fluid biomarkers in patients with Alzheimer’s disease;Frontiers in Aging Neuroscience;2022-07-29

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