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Kaizhong Zheng
Kaizhong Zheng
Verified email at stu.xjtu.edu.cn
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Cited by
Year
Radiomics Strategy for Molecular Subtype Stratification of Lower‐Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI
X Zhang, Q Tian, L Wang, Y Liu, B Li, Z Liang, P Gao, K Zheng, B Zhao, ...
Journal of Magnetic Resonance Imaging 48 (4), 916-926, 2018
1052018
Quantitative identification of major depression based on resting-state dynamic functional connectivity: a machine learning approach
B Yan, X Xu, M Liu, K Zheng, J Liu, J Li, L Wei, B Zhang, H Lu, B Li
Frontiers in neuroscience 14, 500338, 2020
612020
Incapacity to control emotion in major depression may arise from disrupted white matter integrity and OFC‐amygdala inhibition
KZ Zheng, HN Wang, J Liu, YB Xi, L Li, X Zhang, JM Li, H Yin, QR Tan, ...
CNS neuroscience & therapeutics 24 (11), 1053-1062, 2018
362018
Structural networks analysis for depression combined with graph theory and the properties of fiber tracts via diffusion tensor imaging
K Zheng, H Wang, J Li, B Yan, J Liu, Y Xi, X Zhang, H Yin, Q Tan, H Lu, ...
Neuroscience letters 694, 34-40, 2019
172019
Causal interactions between the default mode network and central executive network in patients with major depression
J Li, J Liu, Y Zhong, H Wang, B Yan, K Zheng, L Wei, H Lu, B Li
Neuroscience 475, 93-102, 2021
152021
Brainib: Interpretable brain network-based psychiatric diagnosis with graph information bottleneck
K Zheng, S Yu, B Li, R Jenssen, B Chen
arXiv preprint arXiv:2205.03612, 2022
72022
Ci-gnn: A granger causality-inspired graph neural network for interpretable brain network-based psychiatric diagnosis
K Zheng, S Yu, B Chen
Neural Networks 172, 106147, 2024
52024
Aberrant temporal–spatial complexity of intrinsic fluctuations in major depression
K Zheng, B Li, H Lu, H Wang, J Liu, B Yan, KJ Friston, Y Wu, J Liu, ...
European Archives of Psychiatry and Clinical Neuroscience 273 (1), 169-181, 2023
42023
Redefining and subtyping of major depression based on brain functional connectivity signatures with high generalization: an ensemble hybrid framework
K Zheng, H Lu, Y Wu, H Wang, D Hu, DIRECT consortium, B Chen, B Li
bioRxiv, 2022.06. 07.495073, 2022
12022
Contrastive learning enhances the links between functional signatures and antidepressant treatment
B Chen, K Zheng, X Zheng, H Shi, H Wang, BJ Li
2024
Predicting RTMS Treatment Effects Using Open-Loop Control and Neural Manifold
H Shi, K Zheng, H Wang, B Li, B Chen
ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024
2024
BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping
K Zheng, S Yu, L Chen, L Dang, B Chen
NeuroImage, 120594, 2024
2024
Large-scale effective connectivity analysis reveals the existence of two mutual inhibitory systems in patients with major depression
J Wang, B Li, J Liu, J Li, A Razi, K Zheng, B Yan, H Wang, H Lu, K Friston
NeuroImage: Clinical 41, 103556, 2024
2024
DynBrainGNN: Towards Spatio-Temporal Interpretable Graph Neural Network Based on Dynamic Brain Connectome for Psychiatric Diagnosis
K Zheng, B Ma, B Chen
International Workshop on Machine Learning in Medical Imaging, 164-173, 2023
2023
Identification of Predictive Subnetwork for Brain Network-Based Psychiatric Diagnosis: An Information-Theoretic Perspective
K Zheng, S Yu, B Chen
2023 IEEE International Conference on Acoustics, Speech, and Signal …, 2023
2023
Towards a More Stable and General Subgraph Information Bottleneck
H Liu, K Zheng, S Yu, B Chen
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
2023
The study of the relapsed patients with major depressive disorder based on spectral dynamic causal modeling
J LI, B LI, K Zheng, L LI, P DU, B Yan
Journal of Practical Radiology, 824-827, 2018
2018
Whole-Brain Effective Connectivity Analysis Reveals the Existence of Two Mutual Inhibitory Systems and Predicts Treatment Outcomes in Patients with Major Depression
BJ Li, J Liu, J Wang, J Li, A Razi, K Zheng, B Yan, HN Wang, H Lu, ...
Available at SSRN 4611536, 0
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