Jianfeng Zhao 赵建峰

Research Fellow

Radiation Oncology
Mayo Clinic

Ph.D

School of Biomedical Engineering, Western University
Email: jzhao525@uwo.ca

Short Bio

I am currently a Research Fellow in Radiation Oncology at Mayo Clinic. I received my PhD in Biomedical Engineering from Western University. My research focuses on uncertainty-aware AI for medical imaging, with applications in segmentation, image reconstruction, proton therapy, and treatment planning. I am particularly interested in bridging AI methodologies with clinically meaningful healthcare applications. I have published over ten peer-reviewed papers in leading journals and conferences, including MedIA, KBS, CMIG, and MICCAI. My work involves close collaboration with both engineering and clinical teams to develop reliable and explainable AI systems for medical imaging. I have also served as a reviewer for JBHI, TMI, KBS, TBD, and MICCAI.

Selected Publications

[MedIA 2025] When Evidence Modeling Meets Knowledge Distillation: Towards Reliable Contrast-Enhanced Knowledge Distillation for Non-Contrast Medical Image Segmentation
Jianfeng Zhao and Shuo Li

[Paper]
[IEEE JBHI 2025] Radiomics-Driven Diffusion Model and Monte Carlo Compression Sampling for Reliable Medical Image Synthesis
Jianfeng Zhao and Shuo Li

[Paper]
[IEEE JBHI 2025] T-CACE: A Time-Conditioned Autoregressive Contrast Enhancement Multi-Task Framework for Contrast-Free Liver MRI Synthesis, Segmentation, and Diagnosis
Xiaojiao Xiao, Jianfeng Zhao, Qinmin Vivian Hu, and Guanghui Wang

[Paper]
[KBS 2025] Uncertainty-guided and cross-modality attention network for liver tumor segmentation and quantification via integrating dynamic MRI
Jianfeng Zhao and Shuo Li

[Paper]
[MICCAI 2024] [Oral] Center-to-Edge Denoising Diffusion Probabilistic Models with Cross-domain Attention for Undersampled MRI Reconstruction
Jianfeng Zhao and Shuo Li

[Paper]
[CMIG 2024] Evidence modeling for reliability learning and interpretable decision-making under multi-modality medical image segmentation
Jianfeng Zhao and Shuo Li

[Paper]
[MICCAI 2023] Learning Reliability of Multi-modality Medical Images for Tumor Segmentation via Evidence-Identified Denoising Diffusion Probabilistic Models
Jianfeng Zhao and Shuo Li

[Paper]
[MedIA 2022] Task relevance driven adversarial learning for simultaneous detection, size grading, and quantification of hepatocellular carcinoma via integrating multi-modality MRI
Xiaojiao Xiao, Jianfeng Zhao, and Shuo Li

[Paper]
[MedIA 2021] United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI
Jianfeng Zhao, Dengwang Li, Xiaojiao Xiao, et al.

[Paper]
[MICCAI 2021] mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network
Jianfeng Zhao, Xiaojiao Xiao, Shuo Li, et al.

[Paper]
[MedIA 2020] Tripartite-GAN: synthesizing liver contrast-enhanced MRI to improve tumor detection
Jianfeng Zhao, Dengwang Li, Shuo Li, et al.

[Paper]

Education

Ph.D. in Biomedical Engineering, 2022.01 - 2025.12
Western University, Canada, supervised by Prof. Shuo Li
Visiting Graduated Student in Biomedical Engineering, 2018.11 - 2020.03
Western University, Canada, supervised by Prof. Shuo Li
M.E. Electronics and Communications Engineering, 2017.09 - 2020.06
Shandong Normal University, China, supervised by Prof. Dengwang Li
B.S. Electronic and Information Engineering, 2013.09 - 2017.06
Shandong Normal University, China

Academic Services

Reviewer:
IEEE Journal of Biomedical and Health Informatics
Knowledge-Based Systems
IEEE Transactions on Big Data
AAAI and MICCAI Conference