Jingshuai Liu

Orcid: 0009-0003-3104-3775

According to our database1, Jingshuai Liu authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

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

Erase to Enhance: Data-Efficient Machine Unlearning in MRI Reconstruction.
CoRR, 2024

BMFT: Achieving Fairness via Bias-Based Weight Masking Fine-Tuning.
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

Region-Guided Channel-Wise Attention Network for Accelerated MRI Reconstruction.
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

Coil-Agnostic Attention-Based Network for Parallel MRI Reconstruction.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
Adaptive Admittance Control of Human-Exoskeleton System Using RNN Optimization.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2021

Bionic Design of a Self-Reconfigurable Modular Robot for Search and Rescue.
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


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