Risk Prediction of Alzheimer’s Disease Conversion in Mild Cognitive Impaired Population Based on Brain Age Estimation-Reference-Cited by-同舟云学术

Risk Prediction of Alzheimer’s Disease Conversion in Mild Cognitive Impaired Population Based on Brain Age Estimation

Published:2023 Issue: Volume:31 Page:2468-2476
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Liu Weijia¹^ORCID,Dong Qunxi¹^ORCID,Sun Shuting¹,Shen Jian¹^ORCID,Qian Kun¹^ORCID,Hu Bin¹^ORCID

Affiliation:

1. School of Medical Technology, Beijing Institute of Technology, Beijing, Haidian, China

Funder

Beijing Institute of Technology Research Fund Program for Young Scholars

National Key Research and Development Program of China

National Natural Science Foundation of China

Scientific and Technological Innovation 2030 Project of MOST

China Postdoctoral Science Foundation Funded Project

Alzheimer's Disease Neuroimaging Initiative (ADNI), the Open Access Series of Imaging Studies (OASIS) and Information Extraction from Images (IXI) for data collection and sharing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation

Link

http://xplorestaging.ieee.org/ielx7/7333/10031624/10049587.pdf?arnumber=10049587

Reference49 articles.

1. Prediction of brain age and cognitive age: Quantifying brain and cognitive maintenance in aging

2. Improved prediction of brain age using multimodal neuroimaging data

3. BrainAGE in Mild Cognitive Impaired Patients: Predicting the Conversion to Alzheimer’s Disease

4. Brain Age Prediction with 3D ResNet34 Model in Healthy Control, Mild Cognitive Impairment, and Alzheimer's Disease

5. Bayesian Optimization for Neuroimaging Pre-processing in Brain Age Classification and Prediction

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