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 obtained his PhD in Radiology from University of Cambridge in 2020, where he continued to work as a Research Associate until March 2022. His research focuses on advancing MRI techniques, including non-contrast-enhanced MR angiography, quantitative MRI, and novel microstructural MRI techniques. Dr Li has published over 20 papers in leading journals and has received best presentation awards at the SMRA 2018 conference and the ISMRM 2020 conference. He is now leading two projects from National Natural Science Foundation of China and Shanghai Pujiang Talent Program, aiming at developing safer and faster MR angiography techniques. He is also a visiting researcher at Department of Radiology, University of Cambridge.
Achievement：

1.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(in press)

2.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(in press)

3.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.

4.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.

5.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.