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Neural Networks : the Official Journal of the International Neural Network Society
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February 2, 2024
CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis
Kaizhong Zheng, Shujian Yu, Badong Chen
Frontiers in Oncology
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November 5, 2025
The effect of interval time of transcatheter arterial chemoembolization with drug-eluting beads on the efficacy and safety of unresectable hepatocellular carcinoma: a case-control study
Guoyu Deng, Huaqing Zhang, Haotian Xue, et al.
Npj Mental Health Research
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January 16, 2026
Beyond depression symptoms: the default mode network as a predictor of antidepressant response
Kaizhong Zheng, Liangjun Chen, Huaning Wang, et al.
Neuroimage
|
April 3, 2024
BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping
Kaizhong Zheng, Shujian Yu, Liangjun Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
September 13, 2024
BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck
Kaizhong Zheng, Shujian Yu, Baojuan Li, et al.
PLOS Digital Health
|
March 4, 2026
Functional connectivity-based classification and subtyping of major depression for precision mental health: An ensemble graph neural network approach
Kaizhong Zheng, Hongbing Lu, Huaning Wang, et al.
Neuroscience
|
September 6, 2021
Causal Interactions Between the Default Mode Network and Central Executive Network in Patients with Major Depression
Jiaming Li, Jian Liu, Yufang Zhong, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
February 3, 2018
Radiomics Strategy for Molecular Subtype Stratification of Lower-Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI
Xi Zhang, Qiang Tian, Liang Wang, et al.
Neuroimage. Clinical
|
December 22, 2023
Large-scale effective connectivity analysis reveals the existence of two mutual inhibitory systems in patients with major depression
Jia Wang, Baojuan Li, Jian Liu, et al.
Frontiers in Neuroscience
|
April 16, 2020
Quantitative Identification of Major Depression Based on Resting-State Dynamic Functional Connectivity: A Machine Learning Approach
Baoyu Yan, Xiaopan Xu, Mengwan Liu, et al.
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Showing results (1-10 of 12) with videos related to
Sort By:
Page
of 2
Neural Networks : the Official Journal of the International Neural Network Society
|
February 2, 2024
CI-GNN: A Granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis
Kaizhong Zheng, Shujian Yu, Badong Chen
Frontiers in Oncology
|
November 5, 2025
The effect of interval time of transcatheter arterial chemoembolization with drug-eluting beads on the efficacy and safety of unresectable hepatocellular carcinoma: a case-control study
Guoyu Deng, Huaqing Zhang, Haotian Xue, et al.
Npj Mental Health Research
|
January 16, 2026
Beyond depression symptoms: the default mode network as a predictor of antidepressant response
Kaizhong Zheng, Liangjun Chen, Huaning Wang, et al.
Neuroimage
|
April 3, 2024
BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping
Kaizhong Zheng, Shujian Yu, Liangjun Chen, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
September 13, 2024
BrainIB: Interpretable Brain Network-Based Psychiatric Diagnosis With Graph Information Bottleneck
Kaizhong Zheng, Shujian Yu, Baojuan Li, et al.
PLOS Digital Health
|
March 4, 2026
Functional connectivity-based classification and subtyping of major depression for precision mental health: An ensemble graph neural network approach
Kaizhong Zheng, Hongbing Lu, Huaning Wang, et al.
Neuroscience
|
September 6, 2021
Causal Interactions Between the Default Mode Network and Central Executive Network in Patients with Major Depression
Jiaming Li, Jian Liu, Yufang Zhong, et al.
Journal of Magnetic Resonance Imaging : JMRI
|
February 3, 2018
Radiomics Strategy for Molecular Subtype Stratification of Lower-Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI
Xi Zhang, Qiang Tian, Liang Wang, et al.
Neuroimage. Clinical
|
December 22, 2023
Large-scale effective connectivity analysis reveals the existence of two mutual inhibitory systems in patients with major depression
Jia Wang, Baojuan Li, Jian Liu, et al.
Frontiers in Neuroscience
|
April 16, 2020
Quantitative Identification of Major Depression Based on Resting-State Dynamic Functional Connectivity: A Machine Learning Approach
Baoyu Yan, Xiaopan Xu, Mengwan Liu, et al.
Page
of 2