Jingshuai Liu
Orcid: 0000-0003-1488-9739
  According to our database1,
  Jingshuai Liu
  authored at least 15 papers
  between 2021 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
  2025
Intelligent Detection and Localization of Cable Faults Using Advanced Discharge Analysis Techniques.
    
  
    Informatica (Slovenia), 2025
    
  
  2024
Deep Network Cascade for Dynamic Cardiac MRI Reconstruction With Motion Feature Incorporation and the Fourier Neural Attention.
    
  
    IEEE Trans. Computational Imaging, 2024
    
  
Surgical Task Automation Using Actor-Critic Frameworks and Self-Supervised Imitation Learning.
    
  
    CoRR, 2024
    
  
    Proceedings of the Medical Imaging with Deep Learning, 3-5 July 2024, Paris, France., 2024
    
  
    Proceedings of the Ethics and Fairness in Medical Imaging, 2024
    
  
  2023
High-Fidelity MRI Reconstruction Using Adaptive Spatial Attention Selection and Deep Data Consistency Prior.
    
  
    IEEE Trans. Computational Imaging, 2023
    
  
  2022
A Lower Limb Exoskeleton With Rigid and Soft Structure for Loaded Walking Assistance.
    
  
    IEEE Robotics Autom. Lett., 2022
    
  
An sEMG based adaptive method for human-exoskeleton collaboration in variable walking environments.
    
  
    Biomed. Signal Process. Control., 2022
    
  
    Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022
    
  
High-Fidelity MRI Reconstruction with the Densely Connected Network Cascade and Feature Residual Data Consistency Priors.
    
  
    Proceedings of the Machine Learning for Medical Image Reconstruction, 2022
    
  
    Proceedings of the Computer Vision - ACCV 2022, 2022
    
  
  2021
    Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
    
  
    Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021
    
  
Fine-Grained Mri Reconstruction Using Attentive Selection Generative Adversarial Networks.
    
  
    Proceedings of the IEEE International Conference on Acoustics, 2021