个人简历：
Yongming Dai, Ph.D. received his undergraduate degree from the Department of Physics at Shanghai University in 2001, and his doctorate from the Department of Physics, Radio Physics at Shanghai University in 2006. From 2006 to 2022, he worked at Siemens (Shenzhen) Magnetic Resonance Co. Ltd., Siemens (China) Ltd., Philips (China), and Shanghai United Imaging Healthcare Technology Co. Ltd. in the role of Sequence Development Application Engineer and Magnetic Resonance Imaging Research and Collaboration Director. He was responsible for developing cutting-edge MRI technology, exploring MRI clinical applications, establishing extensive research collaborations with high-end research customers in China, and publishing high-quality papers in international journals. Currently, he is an Associate Researcher in the group of Professor Peng Hu at the School of Biomedical Engineering at the ShanghaiTech university.
研究领域：
Tumor Microstructure Imaging
Magnetic Resonance Lung Functional Imaging
Magnetic Resonance Diffusion Modeling
代表性论文：
Zheng L, Yang C, Sheng R, Rao S, Wu L, Zeng M, Dai Y*. Characterization of Microvascular Invasion in Hepatocellular Carcinoma Using Computational Modeling of Interstitial Fluid Pressure and Velocity. JMRI 2023 (in press).
Shi Z, Zhao X, Zhu S, Miao X, Zhang Y, Han S, Wang B, Zhang B, Ye X, Dai Y, et. al. Time-of-Flight Intracranial MRA at 3 T versus 5 T versus 7 T: Visualization of Distal Small Cerebral Arteries. 2022:220114. Radiology.
Wu, G., Zhao, Z., Yao, Q., Kong, W., Xu, J., Zhang, J., Liu, G., Dai, Y*. The Study of Clear Cell Renal Cell Carcinoma with MR Diffusion Kurtosis Tensor Imaging and Its Histopathologic Correlation. Academic Radiology, 2018, 25(4):430.
Yongming Dai, Qiuying Yao, Guangyu Wu, et. al. Characterization of clear cell renal cell carcinoma with diffusion kurtosis imaging: correlation between diffusion kurtosis parameters and tumor cellularity. NMR Biomed. 2016 Jul;29(7):873-81.
Y. Dai, S. Dong, M. Zhu, D.Wu, Y. Zhong. Visualizing cerebral veins in fetal brain using susceptibility-weighted MRI. Clinical Radiology 69 (2014) e392ee397.
Dai, Y., Zeng, M., Li, R., Rao, S., Chen, C., DelProposto, Z., Haacke, E. M., Hu, J., Renate, J. Improving detection of siderotic nodules in cirrhotic liver with a multi-breath-hold susceptibility-weighted imaging technique. 2011 34(2):318-25.
