Jianfeng Zhao 赵建峰

Ph.D

School of Biomedical Engineering
Western University

Email: jzhao525@uwo.ca

Short Bio

I am currently a PhD Student at the University of Western Ontario, supervised by Dr. Shuo Li. My research focuses on uncertainty-aware deep learning for medical image analysis, with applications in segmentation, synthesis, and image reconstruction. I am particularly interested in bridging AI methods with clinically meaningful tasks. I have published over ten peer-reviewed papers in journals and conferences such as MedIA, KBS, CMIG, and MICCAI. I have collaborated with both engineering and clinical teams to develop task-driven, explainable AI systems. I have also served as a reviewer for JBHI, TMI, KBS, TBD, and MICCAI (2020–2024).

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 - Present
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