Victor Ho-fun Lee

According to our database, Victor Ho-fun Lee authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Unsupervised Domain Adaptation for Low-Dose CT Reconstruction via Bayesian Uncertainty Alignment.

Kecheng Chen, Jie Liu, Renjie Wan, Victor Ho-fun Lee, Varut Vardhanabhuti, Hong Yan, Haoliang Li

IEEE Trans. Neural Networks Learn. Syst., May, 2025

Test-time Adaptation for Foundation Medical Segmentation Model without Parametric Updates.

Kecheng Chen, Xinyu Luo, Tiexin Qin, Jie Liu, Hui Liu, Victor Ho-fun Lee, Hong Yan, Haoliang Li

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

Learning Robust Shape Regularization for Generalizable Medical Image Segmentation.

Kecheng Chen, Tiexin Qin, Victor Ho-fun Lee, Hong Yan, Haoliang Li

IEEE Trans. Medical Imaging, July, 2024

Model Generalizability Investigation for GFCE-MRI Synthesis in NPC Radiotherapy Using Multi-Institutional Patient-Based Data Normalization.

Wen Li, Saikit Lam, Yinghui Wang, Chenyang Liu, Tian Li, Jens Kleesiek, Andy Lai-Yin Cheung, Ying Sun, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai

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.

Wen Li, Dan Zhao, Zhi Chen, Zhou Huang, Saikit Lam, Yaoqin Xie, Wenjian Qin, Andy Lai-Yin Cheung, Haonan Xiao, Chenyang Liu, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai, Tian Li

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.

Wen Li, Yiming Shi, Saikit Lam, Andy Lai-Yin Cheung, Haonan Xiao, Chenyang Liu, Tian Li, Shaohua Zhi, Bernie Liu, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Jing Cai

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2023

2022

Repeatability of Radiomic Features Against Simulated Scanning Position Stochasticity Across Imaging Modalities and Cancer Subtypes: A Retrospective Multi-institutional Study on Head-and-Neck Cases.

Jiang Zhang, Saikit Lam, Xinzhi Teng, Yuanpeng Zhang, Zongrui Ma, Francis Kar-ho Lee, Kwok-hung Au, Celia Wai-yi Yip, Amy Tien Yee Chang, Lawrence Wing-Chi Chan, Victor Ho-fun Lee, Qingrong Jackie Wu, Jing Cai

Proceedings of the Computational Mathematics Modeling in Cancer Analysis, 2022

Multi-institutional Investigation of Model Generalizability for Virtual Contrast-Enhanced MRI Synthesis.

Wen Li, Saikit Lam, Tian Li, Andy Lai-Yin Cheung, Haonan Xiao, Chenyang Liu, Jiang Zhang, Xinzhi Teng, Shaohua Zhi, Ge Ren, Francis Kar-ho Lee, Kwok-hung Au, Victor Ho-fun Lee, Amy Tien Yee Chang, Jing Cai

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022