朱燕杰，中国科学院深圳先进技术研究院研究员，博士生导师，国家优青，深圳市高层次人才。研究方向为医学磁共振成像、图像处理和分析的研究，近年来在IEEE Signal Processing Magazine/Transactions on Medical Imaging, Magnetic  Resonance in Medicine等领域内权威期刊发表论文50余篇,；授权发明专利30余项；曾获中国专利优秀奖、广东省技术发明一等奖、四川省科技进步一等奖、国际磁共振学会Cum Laude Merit Award等多项奖励。作为骨干参与研发国产高端磁共振系统，实现了系列心脏磁共振高级成像技术的产业化应用，作为项目负责人承担国家自然科学天元基金重点专项、优秀青年人才类，国家重点研发计划课题等6项国家级项目。

常年招收：硕博研究生和实习生、博士后、研究助理、助理研究员等， 联系方式：yj.zhu@siat.ac.cn

招生背景：生物医学工程、人工智能、电子信息、计算机、信号处理、应用数学等相关专业。对医学成像、机器学习、医学人工智能感兴趣

（1） 超高场人体全身磁共振成像关键技术与应用, 广东省技术发明一等奖，2022

（2） 医学影像技术装备自主创新与转化团队, 中国科学院科技促进发展奖,  2022

（3） 3T心脏磁共振成像技术研发及临床应用, 四川省科技进步一等奖, 2021

（4） BEST ORAL PRESENTATION AWARD, ASMRM, 2020 (指导的学生)

（5） 超导磁共振快速成像关键技术、系统与应用, 广东省技术发明一等奖奖,  2018

（6） 中国专利优秀奖, 2018

（7） 海外华人磁共振杰出研究奖, OCSMRM, 2018

• Yanjie Zhu; Jing Cheng; Zhuo-xu Cui; Qingyong Zhu; Leslie Ying; Dong Liang ; PhysicsDriven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performanc improvements through integration with deep neural networks, IEEE Signal Processing Magazine, 2023, 40(2): 116-128 

• Yuanyuan Liu; Dong Liang; Zhuo-xu Cui; Yuxin Yang; Chentao Cao; Qingyong Zhu; Jing Cheng; Caiyun Shi; Haifeng Wang; Yanjie Zhu*; Accelerating Magnetic Resonance T1ρ Mapping Usin Simultaneously Spatial Patch-based and Parametric Group-based Low-rank Tensors (SMART), IEEE Transactions on Medical Imaging, 2023 

• Zhuo-Xu Cui, Sen Jia, Chentao Cao, Qingyong Zhu, Congcong Liu, Zhilang Qiu, Yuanyuan Liu, Jing Cheng, Haifeng Wang, Yanjie Zhu, Dong Liang, K-UNN: k-space interpolation with untrained neural network, Medical Image Analysis, 2023

• Yuxin Yang; Che Wang; Yuanyuan Liu; Zhongmin Chen; Xin Liu; Hairong Zheng; Dong Liang; Yanjie Zhu*; A robust adiabatic constant amplitude spin‐lock preparation module for myocardia T1ρ quantification at 3 T, NMR in Biomedicine, 2023.Feb, 36(2): e4830 (封面文章) 

• Xi Xu; Junpu Hu; Yijia Zheng; Yuanyuan Liu; Zhuoxu Cui; Dong Liang; Yanjie Zhu*; Slice-specific tracking for free-breathing diffusion tensor cardiac MRI, NMR in Biomedicine. 2023;e4922

• Chentao Cao; Zhuo-Xu Cui; Qingyong Zhu; Congcong Liu; Dong Liang; Yanjie Zhu*;Annihilation-Net: Learned annihilation relation for dynamic MR imaging, Medical Physics, 2023.

• Zhuo-Xu Cui; Sen Jia; Jing Cheng; Qingyong Zhu; Yuanyuan Liu; Kankan Zhao; Ziwen Ke; Wenqi Huang; Haifeng Wang; Yanjie Zhu; Leslie Ying; Dong Liang; Equilibrated Zeroth-Order Unrolled Deep Network for Parallel MR Imaging, IEEE Transactions on Medical Imaging, 2023

• Yanjie Zhu; Che Wang; Shi Su; Zhilang Qiu; Zhonghong Yan; Dong Liang; Yining Wang; Haifeng Wang; High resolution single-shot myocardial imaging using bSSFP with wave encoding, Medical Physics, 2023.

• Caiyun Shi; Yuanyuan Liu; Guanxu Cheng; Yulong Qi; Haifeng Wang; Xin Liu*; Dong Liang*; Yanjie Zhu*; High-efficiency 3D black-blood thoracic aorta imaging with patch-based low-rank tensor reconstruction, Quant Imaging Med Surg 2023;13(4):2538-2555

• Shaonan Liu; Yuanyuan Liu; Xi Xu; Rui Chen; Dong Liang; Qiyu Jin; Hui Liu*; Guoqing Chen*; and Yanjie Zhu*; Accelerated cardiac diffusion tensor imaging using deep neural network, Physics in Medicine & Biology, 2023,68: 025008

• Qingyong Zhu; Bei Liu; Zhuo-Xu Cui; Jing Cheng; Chentao Cao; Yuanyuan Liu; Dong Liang; Yanjie Zhu*; Accelerated cardiac cine MRI using spatiotemporal correlation-based hybrid plug-andplay priors (SEABUS), Physics in Medicine & Biology, 2022, 67(21): 215088 

• Shaonan Liu; Haoxiang Li; Yuanyuan Liu; Guanxun Cheng; Gang Yang; Haifeng Wang; Hairong Zheng; Dong Liang; Yanjie Zhu*; Highly accelerated MR parametric mapping by undersampling the kspace and reducing the contrast number simultaneously with deep learning, Physics in Medicine & Biology, 2022, 67(18): 185004

• Yangjie Li; Yuanwei Xu; Siqi Tang; Xincheng Jiang; Weihao Li; Jiajun Guo; Fuyao Yang; Ziqian Xu; Jiayu Sun; Yuchi Han; Yanjie Zhu; Yucheng Chen; Left Atrial Function Predicts Outcome in Dilated Cardiomyopathy: Fast Long-Axis Strain Analysis Derived from MRI, Radiology 2022; 302:72–81

• Ziwen Ke; Wenqi Huang; Zhuo-Xu Cui; Jing Cheng; Sen Jia; Haifeng Wang; Xin Liu; Hairong Zheng; Leslie Ying; Yanjie Zhu*; Dong Liang*; Learned Low-rank Priors in Dynamic MR Imaging, IEEE Transactions on Medical Imaging, 2021.Dec, 40(12): 3698-3710 

• Ziwen Ke; Zhuo-Xu Cui; Wenqi Huang; Jing Cheng; Sen Jia; Leslie Ying; Yanjie Zhu*; Dong Liang* ; Deep Manifold Learning for Dynamic MR Imaging, IEEE Transactions on Computational Imaging, 2021, 7: 1314-1327 

• Yanjie Zhu; Yuanyuan Liu; Leslie Ying; Zhilang Qiu; Qiegen Liu; Sen Jia; Haifeng Wang; Xi Peng; Xin Liu; Hairong Zheng; Dong Liang ; A 4-minute solution for submillimeter whole-brain T1 quantification, Magnetic Resonance in Medicine, 2021, 85(6): 3299-3307

• Yuanyuan Liu; Leslie Ying; Weitian Chen; Zhuo-Xu Cui; Qingyong Zhu; Xin Liu; Hairong Zheng; Dong Liang*; Yanjie Zhu* ; Accelerating the 3D T1ρ mapping of cartilage using a signalcompensated robust tensor principal component analysis model, Quantitative Imaging in Medicine and Surgery, 2021, 11(8): 3376-3391(封面文章) 

• Fuyao Yang; Lili Wang; Jie Wang; Lutong Pu; Yuanwei Xu; Weihao Li; Ke Wan; Dan Yang; Jiayu Sun; Yuchi Han; Yanjie Zhu*; Yucheng Chen*; Prognostic value of fast semi-automated left atrial long-axis strain analysis in hypertrophic cardiomyopathy, Journal of Cardiovascular Magnetic Resonance, 2021, 23(36) 

• Yanjie Zhu; Yuanyuan Liu; Leslie Ying; Xin Liu; Hairong Zheng; Dong Liang ; Bio-SCOPE: fast biexponential T1ρ mapping of the brain using signal-compensated low-rank plus sparse matrix decomposition, Magnetic Resonance in Medicine, 2020.Jun, 83(6): 2092-2106 

• Yanjie Zhu; Ahmed S. Fahmy; Chong Duan; Shiro Nakamori; Reza Nezafat ; Automated Myocardial T2 and Extracellular Volume Quantification in Cardiac MRI Using Transfer Learning–based Myocardium Segmentation, Radiology: Artificial Intelligence, 2020, 2(1): e190034 

(1) 国家自然科学基金,  优青项目，2024-2026，主持

(2) 国家自然科学基金, 天元重点专项，2023- 2024，主持

(3) 国家自然科学基金, 集成项目, 2022 - 2025, 参与

(4) 国家自然科学基金, 面上项目, 2020 - 2023, 主持

(5) 国家自然科学基金, 重点项目, 2019 - 2023, 参与

(6) 国家自然科学基金, 面上项目, 2018 - 2021，主持

(7) 国家自然科学基金, 青年项目, 2015 - 2017，主持