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Quanying Liu

Showing results (1-10 of 82) with videos related to

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Neuroinformatics|January 21, 2018
A Spatial Registration Toolbox for Structural MR Imaging of the Aging BrainMarco Ganzetti, Quanying Liu, Dante Mantini, et al.
Elife|March 21, 2025
The neural correlates of novelty and variability in human decision-making under an active inference frameworkShuo Zhang, Yan Tian, Quanying Liu, et al.
Frontiers in Neuroinformatics|March 20, 2018
Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source LocalizationQuanying Liu, Marco Ganzetti, Nicole Wenderoth, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 3, 2025
Reverse engineering the brain input: Network control theory to identify cognitive task-related control nodesZhichao Liang, Yinuo Zhang, Jushen Wu, et al.
Advances in Neurobiology|November 26, 2024
Modelling and Controlling System Dynamics of the Brain: An Intersection of Machine Learning and Control TheoryQuanying Liu, Chen Wei, Youzhi Qu, et al.
Neuroscience|January 23, 2021
Graph Theoretic Analysis Reveals Intranasal Oxytocin Induced Network Changes Over Frontal RegionsShuhan Zheng, Diksha Punia, Haiyan Wu, et al.
Journal of Neural Engineering|August 4, 2016
Automated detection and labeling of high-density EEG electrodes from structural MR imagesMarco Marino, Quanying Liu, Silvia Brem, et al.
Brain Imaging and Behavior|January 20, 2020
Oxytocin effects on the resting-state mentalizing brain networkHaiyan Wu, Chunliang Feng, Xiaping Lu, et al.
Theranostics|March 14, 2025
Recent advances in the mechanisms, current treatment status, and application of multifunctional biomaterials for radiation-induced skin injuryYang Xu, Quanying Liu, Wenfeng Li, et al.
Neuroimage|August 21, 2023
Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brainMo Wang, Kexin Lou, Zeming Liu, et al.
Pageof 9

Showing results (1-10 of 82) with videos related to

Sort By:
Pageof 9
Neuroinformatics|January 21, 2018
A Spatial Registration Toolbox for Structural MR Imaging of the Aging BrainMarco Ganzetti, Quanying Liu, Dante Mantini, et al.
Elife|March 21, 2025
The neural correlates of novelty and variability in human decision-making under an active inference frameworkShuo Zhang, Yan Tian, Quanying Liu, et al.
Frontiers in Neuroinformatics|March 20, 2018
Detecting Large-Scale Brain Networks Using EEG: Impact of Electrode Density, Head Modeling and Source LocalizationQuanying Liu, Marco Ganzetti, Nicole Wenderoth, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 3, 2025
Reverse engineering the brain input: Network control theory to identify cognitive task-related control nodesZhichao Liang, Yinuo Zhang, Jushen Wu, et al.
Advances in Neurobiology|November 26, 2024
Modelling and Controlling System Dynamics of the Brain: An Intersection of Machine Learning and Control TheoryQuanying Liu, Chen Wei, Youzhi Qu, et al.
Neuroscience|January 23, 2021
Graph Theoretic Analysis Reveals Intranasal Oxytocin Induced Network Changes Over Frontal RegionsShuhan Zheng, Diksha Punia, Haiyan Wu, et al.
Journal of Neural Engineering|August 4, 2016
Automated detection and labeling of high-density EEG electrodes from structural MR imagesMarco Marino, Quanying Liu, Silvia Brem, et al.
Brain Imaging and Behavior|January 20, 2020
Oxytocin effects on the resting-state mentalizing brain networkHaiyan Wu, Chunliang Feng, Xiaping Lu, et al.
Theranostics|March 14, 2025
Recent advances in the mechanisms, current treatment status, and application of multifunctional biomaterials for radiation-induced skin injuryYang Xu, Quanying Liu, Wenfeng Li, et al.
Neuroimage|August 21, 2023
Multi-objective optimization via evolutionary algorithm (MOVEA) for high-definition transcranial electrical stimulation of the human brainMo Wang, Kexin Lou, Zeming Liu, et al.
Pageof 9