Dr. Chenxi Hu is a Tenure-Track Associate Professor of Biomedical Engineering at Shanghai Jiao Tong University (SJTU). Hu earned his Bachelor degree in 2009 in Electrical Engineering at Hunan University, Hunan, China, and subsequently went to the USA to pursue a PhD in Electrical Engineering at Auburn University in Alabama. During the time, he also completed a Master degree in Applied Mathematics. In 2015, Hu started his postdoctoral training with Professor Dana Peters at the Department of Radiology in Yale School of Medicine. Dr. Hu joined SJTU in June 2019. The primary research focus of Dr. Hu has been on development of novel MRI techniques, including advanced pulse sequences, image reconstruction algorithms, and intelligent image processing methods to improve clinical value and cost-effectiveness of cardiac MRI. Hu has published more than 10 peer-reviewed papers as the first/corresponding author and more than 30 scientific abstracts, and served as a reviewer for several major MRI and clinical imaging journals. Hu is the Winner of 2018 ISMRM W. S. Moore Young Investigator Award, based on his work on improving motion robustness of the dark-blood turbo-spin-echo sequence. Hu is a member of ISMRM and SCMR (Society of Cardiovascular Magnetic Resonance).
3. 上海市浦江计划（Shanghai Pujiang Program）， 2020-2022，主持
1. Robb JS, Hu C*, Peters DC. “Interleaved, undersampled radial multiple‐acquisition steady‐state free precession for improved left atrial cine imaging”. Magnetic Resonance in Medicine. 2020; 83: 1721– 1729.
2. Hu C, Tokoglu F, Scheinost D, Qiu M, Shen X, Peters DC, Galiana G, and Constable RT*. “Dynamic-flip-angle ECG-gating with nuisance signal regression improves resting-state BOLD functional connectivity mapping by reducing cardiogenic noise”, Magnetic Resonance in Medicine, 2019; 00:1-13. doi: 10.1002/mrm.27775.
3. Hu C* and Peters DC, “SUPER: a blockwise curve-fitting method for accelerating MR parametric mapping with fast reconstruction”, Magnetic Resonance in Medicine, 2019; 81:3515-3529. doi: 10.1002/mrm.27662.
4. Hu C*, Huber S, Santacana-Laffitte G, Latif SR, Mojibian HR, Baldassarre LA, Peters DC. “REPAIRit: improving myocardial nulling and reducing ghosting artifacts in 3D navigator-gated late gadolinium enhancement under arrhythmia”. Journal of Magnetic Resonance Imaging, 2018; 49:688-699. doi:10.1002/jmri.26284.
5. Hu C*, Huber S, Latif SR, Santacana-Laffitte G, Mojibian HR, Baldassarre LA, and Peters DC. “Reverse double inversion-recovery: improving motion robustness of cardiac T2-weighted dark-blood turbo spin-echo sequence”, Journal of Magnetic Resonance Imaging, 2017; 47:1498-1508. doi: 10.1002/jmri.25886.
6. Hu C*, Sinusas AJ, Huber S, Thorn S, Stacy MR, Mojibian H, and Peters DC. “T1-refBlochi: High resolution 3D cardiac post-contrast T1 mapping based on a single 3D late gadolinium enhancement, Bloch equations, and a reference T1”. Journal of Cardiovascular Magnetic Resonance. 2017;19(1):63. doi: 10.1186/s12968-017-0375-1.
7. Hu C*, Reeves SJ, Peters DC, and Twieg D. “An efficient reconstruction algorithm based on the alternating direction method of multipliers for joint estimation of R2* and off-resonance in fMRI”. IEEE Transactions on Medical Imaging. 2017;36(6):1326-1336. doi: 10.1109/TMI.2017.2667698.
8. Hu C* and Reeves SJ. “Trust region methods for estimation of complex exponential decay models in MRI with a single-shot trajectory”. IEEE Transactions on Image Processing. 2015;24(11):3694-706. doi: 10.1109/TIP.2015.2442917.
Biomedical Signals and Systems I (Full English Teaching)