Jianfeng Zhao
Orcid: 0009-0002-9692-9916Affiliations:
- Shandong Normal University, Shandong Institute of Industrial Technology for Health Sciences and Precision Medicine, Jinan, China
According to our database1,
Jianfeng Zhao
authored at least 10 papers
between 2020 and 2025.
Collaborative distances:
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Bibliography
2025
When evidence modeling meets knowledge distillation: Towards reliable contrast-enhanced knowledge distillation for non-contrast medical image segmentation.
Medical Image Anal., 2025
Uncertainty-guided and cross-modality attention network for liver tumor segmentation and quantification via integrating dynamic MRI.
Knowl. Based Syst., 2025
2024
Evidence modeling for reliability learning and interpretable decision-making under multi-modality medical image segmentation.
Comput. Medical Imaging Graph., 2024
Center-to-Edge Denoising Diffusion Probabilistic Models with Cross-domain Attention for Undersampled MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024
2023
Learning Reliability of Multi-modality Medical Images for Tumor Segmentation via Evidence-Identified Denoising Diffusion Probabilistic Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
Task relevance driven adversarial learning for simultaneous detection, size grading, and quantification of hepatocellular carcinoma via integrating multi-modality MRI.
Medical Image Anal., 2022
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI.
CoRR, 2022
2021
United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI.
Medical Image Anal., 2021
mfTrans-Net: Quantitative Measurement of Hepatocellular Carcinoma via Multi-Function Transformer Regression Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021
2020
Medical Image Anal., 2020