Guisheng Wang
Orcid: 0000-0002-8509-6667
According to our database1,
Guisheng Wang
authored at least 17 papers
between 2020 and 2023.
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Bibliography
2023
A heuristic method for rapid and automatic radiofrequency ablation planning of liver tumors.
Int. J. Comput. Assist. Radiol. Surg., December, 2023
2022
Simultaneous representation and separation for multiple interference allied with approximation message passing in vehicular communications.
Veh. Commun., 2022
Maintaining the Status Quo: Simultaneous Estimation and Elimination for Multiple Interference in Transform Domain Vehicular Communication.
IEEE Trans. Veh. Technol., 2022
IEEE Trans. Medical Imaging, 2022
A teacher-student framework for liver and tumor segmentation under mixed supervision from abdominal CT scans.
Neural Comput. Appl., 2022
Hierarchical deep network with uncertainty-aware semi-supervised learning for vessel segmentation.
Neural Comput. Appl., 2022
Few-shot medical image segmentation using a global correlation network with discriminative embedding.
Comput. Biol. Medicine, 2022
2021
Simultaneous sparse learning algorithm of structured approximation with transformation analysis embedded in Bayesian framework.
J. Electronic Imaging, 2021
Optimization Methods for Power Allocation and Interference Coordination Simultaneously with MIMO and Full Duplex for Multi-Robot Networks.
KSII Trans. Internet Inf. Syst., 2021
An MRI study of the tibial nerve in the ankle canal and its branches: a method of multiplanar reformation with 3D-FIESTA-C sequences.
BMC Medical Imaging, 2021
A study of generalization and compatibility performance of 3D U-Net segmentation on multiple heterogeneous liver CT datasets.
BMC Medical Imaging, 2021
Simultaneous representation and separation for multiple interference allied with approximation message passing in WB-IoT.
Proceedings of the CNIOT 2021: 2nd International Conference on Computing, 2021
2020
IEEE Trans. Aerosp. Electron. Syst., 2020
Few-shot Medical Image Segmentation using a Global Correlation Network with Discriminative Embedding.
CoRR, 2020
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed Supervision.
CoRR, 2020
IEEE Access, 2020