Hao Li-Institute of Science and Technology for Brain-inspired Intelligence

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Hao Li
Research Direction： Magnetic resonance angiography, Quantitative MRI, Image processing and analysis
Email：h_li@fudan.edu.cn
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Brief Introduction：Dr Hao Li completed his PhD in Radiology at the University of Cambridge in 2020, where he continued to work as a Research Associate until March 2022. His research focuses on the advancement of MRI techniques, including: (1) magnetic resonance angiography for safer, noninvasive vascular disease diagnosis; (2) magnetic resonance microstructure imaging, breaking through MRI resolution limits to detect microscopic, cell-level structural information; and (3) AI–based medical image analysis. Dr Li has published more than 30 papers in leading journals, and his research has won best presentation awards at the SMRA 2018 meeting and the ISMRM 2020 meeting. Selected for the Youth Program of the Shanghai Overseas High-Level Talents Scheme and the Shanghai Pujiang Talent Program, he has led five projects funded by the National Natural Science Foundation of China, Shanghai Municipal Science and Technology Commission, and others.
Achievement：

1. Li H, AN Priest, IH Menih et al., Fast and High-resolution T2 Mapping Based on Echo Merging Plus k-t Undersampling with Reduced Refocusing Flip Angles (TEMPURA) as Methods for Human Renal MRI, Magn Reson Med, 2024; 92(3):1138-1148 (Editor Invitation).
2. Li H, Nikita Sushentsev, et al., Fast and High-resolution Luminal Water Imaging for Prostate Cancer Diagnosis , Magn Reson Med, 2025, accepted.
2. Li H, A Daniel, C Buchanan et al., Improvements in Between-Vendor Harmonization of Renal T2 Mapping using Stimulated Echo Compensation, J. Magn Reson Imaging, 2024; 60(5): 2144-2155.
3. Shi Z*, Li H*, et al., Phase-contrast Magnetic Resonance Angiography of Foot at Ultra-high field 5T System: Visualization of Distal Small Vessels and Enhancement by Warm Water Immersion, J. Cardiovas Magn Reson, 2024: 101114.
4. Li S, Wang L, Priest AN, Horvat-Menih I, Mendichovszky IA, Gallagher FA, Wang H, Li H. Highly Accelerated Parameter Mapping Using Model-Based Alternating Reconstruction Coupling Fitting, Phys. Med. Biol, 2024;69:145014.
5. Li H, Graves MJ, Shaida N, Prashar A, Lomas DJ, Priest AN. Highly accelerated subtractive femoral non-contrast-enhanced MRA using compressed sensing with k-space subtraction, phase and intensity correction. Magn Reson Med. 2021;86(1):320-334.
6. Li H, Wang S, Graves MJ, Lomas DJ, Priest AN. Subtractive NCE-MRA: Improved background suppression using robust regression-based weighted subtraction. Magn Reson Med. 2020;(June):1-15.
7. Li H, Priest AN, Patterson I, Graves MJ, Lomas DJ. Subtractive non‐contrast‐enhanced MRI of lower limb veins using multiple flow‐dependent preparation strategies. Magn Reson Med. 2019;81(3):1769-1783.
8. Li H, Li B, Huang W, Dong L, Zhang J. Flow artifact removal in carotid wall imaging based on black and gray-blood dual-contrast images subtraction. Magn Reson Med. 2017;77(4):1612-1618.