A Joint Constrained CCA Model for Network-Dependent Brain Subregion Parcellation

Author:

Ling Qinrui1ORCID,Liu Aiping1ORCID,Li Yu1ORCID,Fu Xueyang1ORCID,Chen Xun2ORCID,McKeown Martin J.3ORCID,Wu Feng1

Affiliation:

1. School of Information Science and Technology, University of Science and Technology of China (USTC), Hefei, China

2. USTC IAT-Huami Joint Laboratory for Brain-Machine Intelligence, Institute of Advanced Technology, University of Science and Technology of China, Hefei, China

3. Department of Medicine, University of British Columbia, Vancouver, BC, Canada

Funder

National Natural Science Foundation of China

USTC Research Funds of the Double First-Class Initiative

University Synergy Innovation Program of Anhui Province

John Nichol Chair in Parkinson's Research

Canadian Institutes of Health Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Cited by 5 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. fMRI-based spatio-temporal parcellations of the human brain;Current Opinion in Neurology;2024-05-27

2. Machine Learning based Early Detection and Monitoring of Parkinson Disease;2023 9th International Conference on Smart Structures and Systems (ICSSS);2023-11-23

3. Connectivity-Based Brain Parcellation for Parkinson's Disease;IEEE Transactions on Biomedical Engineering;2023-05

4. Estimating Outlier-Immunized Common Harmonic Waves for Brain Network Analyses on the Stiefel Manifold;IEEE Journal of Biomedical and Health Informatics;2023-05

5. Homogeneous-Multiset-CCA-Based Brain Covariation and Contravariance Connectivity Network Modeling;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2023

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