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, SCMR, and IEEE.

2005-2009 Bachelor of Engineering– Electrical Engineering, Hunan University

2011-2014 Master of Applied Mathematics – Applied Mathematics, Auburn University

2010-2015 Ph.D. – Electrical Engineering, Auburn University 

2015-2019, Postdoctoral Associate, Department of Radiology and Biomedical Imaging, Yale School of Medicine, Yale University

Novel pulse sequences, reconstruction algorithms, and image processing methods; fast MR imaging; development of machine learning methods and applications for medical imaging

ISMRM W. S. Moore Young Investigator Award (2018)

Biomedical Signals and Systems I (Full English Teaching)

1. 上海交通大学，“交大之星”医工交叉重点项目，基于心脏磁共振影像大数据人工智能鉴别心肌肥厚性疾病及危险分层，2020-2022，Co-PI共同主持

2. 国家自然科学基金（NSFC），青年科学基金项目，快速鲁棒高分辨率心脏磁共振定量成像的开发与临床验证，2021-2023，主持 (PI)

3. 上海市浦江计划（Shanghai Pujiang Program）， 2020-2022，主持 (PI)

1. Zhang Z#, Chen X#, Wan Q#, Wang H, Qi N, You Z, Yuan J, Hu L, Sun H, Wang Z, Hu C*, Zhao J*. A two-stage cardiac PET and late gadolinium enhancement MRI co-registration method for improved assessment of non-ischemic cardiomyopathies using integrated PET/MR. Eur J Nucl Med Mol Imaging. 2022 Jun;49(7):2199-2208.
2. Hu C*, Huber S, Nguyen V, Baldassarre L, Mojibian H, Peters D. Fat-saturated dark-blood cardiac T2 mapping in a single breath-hold. Magnetic Resonance Imaging 2021;81:24-32.
3. 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(5):1721-1729.
4. Hu C, Tokoglu F, Scheinost D, Qiu M, Shen X, Peters DC, Galiana G, 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;0(0):1-13.
5. Hu C*, Peters DC. SUPER: A blockwise curve-fitting method for accelerating MR parametric mapping with fast reconstruction. Magnetic Resonance in Medicine 2019;81(6):3515-3529.
6. Hu C*, Huber S, Latif SR, Santacana-Laffitte G, Mojibian HR, Baldassarre LA, Peters DC. REPAIRit: Improving Myocardial Nulling and Ghosting Artifacts of 3D Navigator-Gated Late Gadolinium Enhancement Imaging During Arrhythmia. Journal of Magnetic Resonance Imaging 2019;49(3):688-699.
7. Hu C*, Huber S, Latif SR, Santacana-Laffitte G, Mojibian HR, Baldassarre LA, Peters DC. Reverse double inversion-recovery: Improving motion robustness of cardiac T2 -weighted dark-blood turbo spin-echo sequence. Journal of Magnetic Resonance Imaging 2018;47(6):1498-1508.
8. Hu C*, Sinusas AJ, Huber S, Thorn S, Stacy MR, Mojibian H, Peters DC. T1-refBlochi: high resolution 3D post-contrast T1 myocardial mapping based on a single 3D late gadolinium enhancement volume, Bloch equations, and a reference T1. Journal of Cardiovascular Magnetic Resonance 2017;19(1):63.
9. Hu C*, Reeves S, Peters DC, 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 Imaging2017;36(6):1326-1336.
10. Hu C*, Reeves SJ. Trust Region Methods for the Estimation of a Complex Exponential Decay Model in MRI With a Single-Shot or Multi-Shot Trajectory. IEEE Transactions on Image Processing 2015;24(11):3694-3706.