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  胡晨曦

  
  

  胡晨曦博士，上海交通大学生物医学工程学院副教授、博士生导师，2010-2015就读于美国奥本大学，获应用数学硕士学位与电气工程博士学位，2015-2019年于耶鲁大学医学院放射与医学影像系担任博士后研究员，2019年6月加入上海交通大学。主要研究领域是磁共振序列、图像重建算法、图像处理算法、人工智能理论与应用。长期致力于通过新方法和技术的开发提高磁共振成像，尤其是心脏磁共振成像的成像效率、稳定性、和医学价值。

  
  曾获得“上海市特聘专家”青年项目，国际医学磁共振学会（ISMRM）2018年W. S. Moore Young Investigator Award（该年度全球唯一获奖者、ISMRM青年学者最高奖项之一），美国心血管磁共振学会（SCMR）2018年Early Career Award提名。主持NSFC青年基金项目、上海市浦江人才项目、上海市“探索者”项目等4项科研项目，在磁共振领域顶级期刊（MRM，JMRI，JCMR，TMI等）和会议发表第一/通讯论文14篇，会议摘要40余篇，专利3项，并担任EHJ-CI, MIA, CMR, MRM, JMRI等知名学术期刊的审稿人。

  
  

  实验室网站：https://sjtucmrlab.feishu.cn/docx/

  招聘信息：科研助理（可签1-2年合同），要求应聘者本科或硕士毕业，具有人工智能的研究经验，并且有计划在今后继续深造。有兴趣者请与我联系。

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 

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

4. 上海市”探索者“计划，自由呼吸三维心脏PET/MR联合成像方法的开发与临床验证， 2023-2025，主持

1.   Zhuo Chen#, Sha Hua#, Juan Gao, Yanjia Chen, Yiwen Gong, Yiwen Shen, Xin Tang, Yixin Emu, Wei Jin，Chenxi Hu*. A dual-stage partially interpretable neural network for joint suppression of bSSFP banding and flow artifacts in non-phase-cycled cine imaging. J Cardiovasc Magn Reson 25, 68 (2023). 

2.   Yang F, Zhang J, Li G, Zhu J, Tang X, and Hu C*. Regularized SUPER-CAIPIRINHA: accelerating 3D variable-flip-angle T1 mapping with accurate and efficient reconstruction. Magnetic Resonance in Medicine 2023; 90(4): 1380-1395. 

3.    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.

4.   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.

5.   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.

6.   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.

7.   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.

8.   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.

9.   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.

10. 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.

11. 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 Imaging 2017;36(6):1326-1336.

12. 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.

生物医学信号与系统I（全英文版）