Wen Li

Orcid: 0000-0002-9550-3828

Affiliations:
  • Hong Kong Polytechnic University, Health Technology and Informatics, Hong Kong (PhD 2023)
  • University of Texas Southwestern Medical Center, Radiation Oncology Department, Dallas, TX, USA (2019-2020)
  • Chinese Academy of Sciences, Research Centre for Medical Robotics and Minimally Invasive Surgical, Guangdong, China (2017-2020)


According to our database1, Wen Li authored at least 7 papers between 2020 and 2024.

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

Timeline

2020
2021
2022
2023
2024
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1
2
3
2
1
1
2
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI With Simultaneous Motion Estimation and Super-Resolution.
IEEE Trans. Medical Imaging, January, 2024

Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-Institutional Patient-Based Data Normalization.
IEEE J. Biomed. Health Informatics, January, 2024

2023
Clinical Evaluation of AI-Assisted Virtual Contrast Enhanced MRI in Primary Gross Tumor Volume Delineation for Radiotherapy of Nasopharyngeal Carcinoma.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Virtual Contrast-Enhanced MRI Synthesis with High Model Generalizability Using Trusted Federated Learning (FL-TrustVCE): A Multi-institutional Study.
Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023

2022
Coarse-Super-Resolution-Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI with Simultaneous Motion Estimation and Super-Resolution.
CoRR, 2022

Multi-institutional Investigation of Model Generalizability for Virtual Contrast-Enhanced MRI Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020
One View Per City for Buildings Segmentation in Remote-Sensing Images via Fully Convolutional Networks: A Proof-of-Concept Study.
Sensors, 2020


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