清华大学生物医学影像中心自成立以来，始终为科研工作提供强有力支撑。截至目前，已助力科研团队在国际权威学术期刊发表 SCI 论文 600 余篇，研究成果广泛涉及多个领域，彰显了中心在医学影像科研领域的影响力。
近3年代表性论文：
1. W. Chen, S. Wu, S. Wang, Z. Li, J. Yang, H. Yao, Q. Tian and X. Song，Multi-contrast image super-resolution with deformable attention and neighborhood-based feature aggregation (DANCE): Applications in anatomic and metabolic MRI，2025，Medical Image Analysis
2. L. Ge, X. Wei, Y. Hao, J. Luo and Y. Xu，Unsupervised Histological Image Registration Using Structural Feature Guided Convolutional Neural Network，2022，IEEE Transactions on Medical Imaging
3. H. He, X. Tong, Z. Ning, J. Zhou, C. Du, Y. Wang, Q. Wang, D. Xu, X. Zeng, Z.-X. He and X. Zhao，Diffusing capacity of lungs for carbon monoxide associated with subclinical myocardial impairment in systemic sclerosis: A cardiac MR study，2023，RMD Open
4. Y. Li, Y. Liu, L. Huang, Z. Wang and J. Luo，Deep weakly-supervised breast tumor segmentation in ultrasound images with explicit anatomical constraints，2022，Med Image Anal
5. Z. Li, Q. Fan, B. Bilgic, G. Wang, W. Wu, J. R. Polimeni, K. L. Miller, S. Y. Huang and Q. Tian，Diffusion MRI data analysis assisted by deep learning synthesized anatomical images (DeepAnat)，2023，Medical Image Analysis
6. X. Lin, R. Wei, Z. Xu, S. Zhuo, J. Dou, H. Sun, R. Li, R. Yang, Q. Lu, C. An and H. Chen，A deep learning model for personalized intra-arterial therapy planning in unresectable hepatocellular carcinoma: a multicenter retrospective study，2024，eClinicalMedicine
7. J. Liu, Z. Ning, C. Du, S. Chen, T. Wang, J. Cao, R. Huo, D. Li, D. Yang, R. Shen, S. Yu, C. Hu, S. Wang, H. Qiao and X. Zhao，Histological validation of three-dimensional variable flip angle turbo spin echo multi-contrast magnetic resonance vessel wall imaging in characterizing carotid vulnerable atherosclerotic plaques，2024，Journal of Cardiovascular Magnetic Resonance
8. S. Liu, J. Zhang, D. Shi and H. Guo，Three‐dimensional diffusion MRI using simultaneous multislab with blipped‐CAIPI in a 4D k‐space framework，2023，Magnetic Resonance in Medicine
9. D. Si, Y. Wu, J. Xiao, X. Qin, R. Guo, B. Liu, Z. Ning, J. Yin, P. Gao, Y. Liu, D. Yang, K. Cheng, T. Chen, Z. Cheng, X. Lin, Q. Fang, D. A. Herzka and H. Ding，Three-dimensional High-Resolution Dark-Blood Late Gadolinium Enhancement Imaging for Improved Atrial Scar Evaluation，2023，Radiology
10. H. Sun, Y. Li, Z. Li, R. Yang, Z. Xu, J. Dou, H. Qi and H. Chen，Fourier Convolution Block with global receptive field for MRI reconstruction，2025，Medical Image Analysis
11. X. Tong, H. He, S. Xu, R. Shen, Z. Ning, X. Zeng, Q. Wang, D. Xu, Z.-X. He and X. Zhao，Brain functional alternation in patients with systemic sclerosis: a resting-state functional magnetic resonance imaging study，2024，Arthritis Research & Therapy
12. Y. Wang, X. Liu, J. Wang, Y. Wang, H. Qi, X. Kong, D. Liu, J. Liu, H. Zheng, F. Xiong, L. Zhang, X. Fu, X. Zhang, R. Guo, H. Qiao, Z. Chen, D. Si and H. Chen，Simultaneous T1, T2, and T2* Mapping of Carotid Plaque: The SIMPLE* Technique，2023，Radiology
13. H. Wei, Z. Li, S. Wang and R. Li，Undersampled Multi-Contrast MRI Reconstruction Based on Double-Domain Generative Adversarial Network，2022，IEEE J Biomed Health Inform
14. X. Wei, L. Ge, L. Huang, J. Luo and Y. Xu，Unsupervised Non-rigid Histological Image Registration Guided by Keypoint Correspondences Based on Learnable Deep Features with Iterative Training，2024，IEEE Trans Med Imaging
