Zhiwen Wang

Orcid: 0000-0002-9936-9347

Affiliations:
  • Sichuan University, College of Computer Science, Key Laboratory of Data Protection and Intelligent Management, China


According to our database1, Zhiwen Wang authored at least 14 papers between 2021 and 2025.

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

Timeline

Legend:

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Bibliography

2025
UniAda: Domain Unifying and Adapting Network for Generalizable Medical Image Segmentation.
IEEE Trans. Medical Imaging, May, 2025

Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Generalizable MRI Motion Correction via Compressed Sensing Equivariant Imaging Prior.
IEEE Trans. Circuits Syst. Video Technol., December, 2024

Gradient-Guided Network With Fourier Enhancement for Glioma Segmentation in Multimodal 3D MRI.
IEEE J. Biomed. Health Informatics, November, 2024

Evidence-based uncertainty-aware semi-supervised medical image segmentation.
Comput. Biol. Medicine, March, 2024

Progressive dual-domain-transfer cycleGAN for unsupervised MRI reconstruction.
Neurocomputing, January, 2024

Plaintext-Free Deep Learning for Privacy-Preserving Medical Image Analysis via Frequency Information Embedding.
CoRR, 2024

Multiple organ segmentation framework for brain metastasis radiotherapy.
Comput. Biol. Medicine, 2024

2023
SemiMAR: Semi-Supervised Learning for CT Metal Artifact Reduction.
IEEE J. Biomed. Health Informatics, November, 2023

Privacy-Preserving Encrypted Low-Dose CT Denoising.
CoRR, 2023

Dynamic Focus Mechanism-Based Dual-Domain Reconstruction Network for Accelerated MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

EVIL: Evidential Inference Learning for Trustworthy Semi-Supervised Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
Leaders: Learnable Deep Radial Subsampling for Mri Reconstruction.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
One Network to Solve Them All: A Sequential Multi-task Joint Learning Network Framework for MR Imaging Pipeline.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2021


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