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Qunxi Dong

Showing results (1-10 of 31) with videos related to

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Human Brain Mapping|April 13, 2023
Every individual makes a difference: A trinity derived from linking individual brain morphometry, connectivity and mentalising abilityZhaoning Li, Qunxi Dong, Bin Hu, et al.
IEEE Journal of Biomedical and Health Informatics|May 3, 2024
A Multiview Brain Network Transformer Fusing Individualized Information for Autism Spectrum Disorder DiagnosisQunxi Dong, Hongxin Cai, Zhigang Li, et al.
Medical Image Analysis|July 2, 2021
Tetrahedral spectral feature-Based bayesian manifold learning for grey matter morphometry: Findings from the Alzheimer's disease neuroimaging initiativeYonghui Fan, Gang Wang, Qunxi Dong, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 7, 2023
Risk Prediction of Alzheimer's Disease Conversion in Mild Cognitive Impaired Population Based on Brain Age EstimationWeijia Liu, Qunxi Dong, Shuting Sun, et al.
Journal of Neural Engineering|April 12, 2017
Effective brain network analysis with resting-state EEG data: a comparison between heroin abstinent and non-addicted subjectsBin Hu, Qunxi Dong, Yanrong Hao, et al.
Medical Image Analysis|June 15, 2025
Similarity-guided multi-view functional brain network fusionZhigang Li, Jingyu Liu, Mengkai Sun, et al.
Computers in Biology and Medicine|February 23, 2024
Effective hyper-connectivity network construction and learning: Application to major depressive disorder identificationJingyu Liu, Wenxin Yang, Yulan Ma, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|November 14, 2022
Exploring the Intrinsic Features of EEG Signals via Empirical Mode Decomposition for Depression RecognitionJian Shen, Yanan Zhang, Huajian Liang, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Schizophrenia Detection Based on Morphometry of Hippocampus and AmygdalaQunxi Dong, Yuhang Sheng, Junru Zhu, et al.
IEEE Journal of Biomedical and Health Informatics|April 25, 2023
Clustering-Fusion Feature Selection Method in Identifying Major Depressive Disorder Based on Resting State EEG SignalsShuting Sun, Huayu Chen, Gang Luo, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Human Brain Mapping|April 13, 2023
Every individual makes a difference: A trinity derived from linking individual brain morphometry, connectivity and mentalising abilityZhaoning Li, Qunxi Dong, Bin Hu, et al.
IEEE Journal of Biomedical and Health Informatics|May 3, 2024
A Multiview Brain Network Transformer Fusing Individualized Information for Autism Spectrum Disorder DiagnosisQunxi Dong, Hongxin Cai, Zhigang Li, et al.
Medical Image Analysis|July 2, 2021
Tetrahedral spectral feature-Based bayesian manifold learning for grey matter morphometry: Findings from the Alzheimer's disease neuroimaging initiativeYonghui Fan, Gang Wang, Qunxi Dong, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 7, 2023
Risk Prediction of Alzheimer's Disease Conversion in Mild Cognitive Impaired Population Based on Brain Age EstimationWeijia Liu, Qunxi Dong, Shuting Sun, et al.
Journal of Neural Engineering|April 12, 2017
Effective brain network analysis with resting-state EEG data: a comparison between heroin abstinent and non-addicted subjectsBin Hu, Qunxi Dong, Yanrong Hao, et al.
Medical Image Analysis|June 15, 2025
Similarity-guided multi-view functional brain network fusionZhigang Li, Jingyu Liu, Mengkai Sun, et al.
Computers in Biology and Medicine|February 23, 2024
Effective hyper-connectivity network construction and learning: Application to major depressive disorder identificationJingyu Liu, Wenxin Yang, Yulan Ma, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|November 14, 2022
Exploring the Intrinsic Features of EEG Signals via Empirical Mode Decomposition for Depression RecognitionJian Shen, Yanan Zhang, Huajian Liang, et al.
IEEE Journal of Biomedical and Health Informatics|March 3, 2025
Schizophrenia Detection Based on Morphometry of Hippocampus and AmygdalaQunxi Dong, Yuhang Sheng, Junru Zhu, et al.
IEEE Journal of Biomedical and Health Informatics|April 25, 2023
Clustering-Fusion Feature Selection Method in Identifying Major Depressive Disorder Based on Resting State EEG SignalsShuting Sun, Huayu Chen, Gang Luo, et al.
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