General

Hu Zhanli, Professor, 

doctoral supervisor, 

national excellent youth, 

research field is medical imaging 

technology and its clinical application, 

medical image processing and 

artificial intelligence medical imaging



Email: zl.hu@siat.ac.cn

Mailing address: Shenzhen Institute of 

Advanced Technology, 

Chinese Academy of Sciences, 

No. 1068, Xili Xueyuan Avenue, 

Nanshan District, Shenzhen



Personal profile

Dr. Zhanli Hu is a researcher and PhD supervisor at Shenzhen Institute of Advanced Technology, 

Chinese Academy of Sciences, a national outstanding youth, 

​a young top talent of Guangdong Province Special Support Program, 

and an overseas high level talent of Shenzhen Peacock Program. 

He has been dedicated to the research and development of medical imaging methods 

and breakthrough the limits of existing medical imaging technologies in terms of spatial resolution, 

temporal resolution and radiation dose. The team focuses on upstream and 

downstream ecological collaboration in medical imaging, 

and has carried out in-depth clinical research cooperation with Shanghai United Imaging, 

a leading high-end medical device company, and many tertiary hospitals nationwide, 

geared toward solving practical problems in the medical industry and medical clinics.


         It has achieved multi-modal, cross-scale medical imaging technology frontier scientific breakthroughs, 

while driving the independent research and development of 

high-end medical equipment and scientific instruments in China. 

Breaking the foreign technical barriers and applying the proposed medical imaging technology 

in domestic high-end medical equipment. 

He was awarded the "Science and Technology for 

Development Award of the Chinese Academy of Sciences" for 

his innovative achievements in the implementation and research of 

key technologies for high-end medical equipment. 

He has published more than 40 SCI papers in EJNMMI, European Radiology, EJR, 

IEEE JBHI/TBME/TCI/TRPMS, Neurocomputing, Medical Physic, 

PMB and other international authoritative journals in this field as correspondent/first author. 

As the first inventor, he has transferred 9 national invention patent technologies to the enterprise

 (the transfer amount is 1.74 million); as the first software developer, 

he has authorized 2 software copyrights and injected the enterprise with equity (equivalent to 2.8 million). 

He has presided over the National Natural Youth Project, Guangdong International Cooperation Project, 

Shenzhen Jieqing Project, Key Project, International Cooperation Project, 

and many horizontal projects of enterprises. 

The project funding is more than 40 million RMB. 

The team has 3 post-doctoral students, 2 PhD students, 8 master students 

and 6 visiting master/PhD students.


      Personal homepage: https://people.ucas.edu.cn/~huzhanli


      Google Scholar: https://scholar.google.com/citations?hl=zh-CN&user=Zlypmh8AAAAJ&view_op=list_works&sortby=pubdate


Admissions Information

Medical imaging technology and its clinical application, 

medical image processing and artificial intelligence medical imaging


Admissions

081104-Pattern Recognition and Intelligent System

085400-Electronic information

083100-Biomedical Engineering

Admission direction

medical image reconstruction

Artificial intelligence analysis of clinical images

deep learning


Publications

1. Haiyan Wang#, Yaping Wu#, Zhenxing Huang, Zhicheng Li, Na Zhang, Fangfang Fu, Nan Meng, Haining Wang, Yun Zhou, Yongfeng Yang, Xin Liu, Dong Liang, Hairong Zheng, Greta S. P. Mok, Meiyun Wang*, Zhanli Hu*, “Deep learning-based dynamic PET parametric Ki image generation from total body static PET”, European Radiology, Accepted, 2022.

2. Zixiang Chen#, Yaping Wu#, Na Zhang, Tao Sun, Yu Shen, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu*, “High temporal resolution total-body dynamic PET imaging based on pixel-level time-activity curve correction”, IEEE Transactions on Biomedical Engineering, Online, 2022.

3. Zhenxing Huang, Zixiang Chen, Guotao Quan, Yanfeng Du, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu*, “Deep cascade residual networks (DCRNs): optimizing an encoder-decoder convolutional neural network for low-dose CT imaging”, IEEE Transactions on Radiation and Plasma Medical Sciences, Online, 2022.

4. Zhenxing Huang#, Yaping Wu#, Fangfang Fu, Nan Meng, Fengyun Gu, Qi Wu, Yun Zhou, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Meiyun Wang*, Zhanli Hu*, “Parametric image generation with the uEXPLORER total-body PET/CT system through deep learning”, European Journal of Nuclear Medicine and Molecular Imaging, 49(8): 2482-2492, 2022.

5. Qingneng Li#, Xiaohua Zhu#, Sijuan Zou#, Na Zhang, Xin Liu, Yongfeng Yang, Hairong Zheng, Dong Liang, Zhanli Hu*, “Eliminating CT radiation for clinical PET examination using deep learning”, European Journal of Radiology, 154: 110422, 2022.

6. Zixiang Chen#, Zhaoping Cheng#, Yanhua Duan#, Qiyang Zhang, Na Zhang, Fengyun Gu, Ying Wang, Yun Zhou, Haining Wang, Dong Liang, Hairong Zheng, Zhanli Hu*, “Accurate total-body Ki parametric imaging with shortened dynamic 18F-FDG PET scan durations via effective data processing”, Medical Physics, Online, 2022.

7. Lipei Zhang#, Zizheng Xiao#, Chao Zhou, Jianmin Yuan, Qiang He, Yongfeng Yang, Xin Liu, Dong Liang, Hairong Zheng, Wei Fan, Xu Zhang*, Zhanli Hu*, “Spatial adaptive and transformer fusion network (STFNet) for low-count PET blind denoising with MRI”, Medical Physics, 49(1): 343-356, 2022.

8. Haiyan Wang, Zhenxing Huang, Qiyang Zhang, Dongfang Gao, Zhanglei OuYang, Dong Liang, Xin Liu, Yongfeng Yang, Hairong Zheng, Zhanli Hu*, “Technical Note: A preliminary study of dual-tracer PET image reconstruction guided by FDG and/or MR kernels”, Medical Physics, 48(9): 5259-5271, 2021.

9. Zhenxing Huang#, Xinfeng Liu#, Rongpin Wang, Zixiang Chen, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu*, “Learning a deep cnn denoising approach using anatomical prior information implemented with attention mechanism for low-dose CT imaging on clinical patient data from multiple anatomical sites”, IEEE Journal of Biomedical and Health Informatics, 25(9): 3416-3427, 2021 (封面).

10. Dongfang Gao#, Xu Zhang#, Chao Zhou, Wei Fan, Tianyi Zeng, Qian Yang, Jianmin Yuan, Qiang He, Dong Liang, Xin Liu, Yongfeng Yang, Hairong Zheng, Zhanli Hu*, “MRI-aided kernel PET image reconstruction method based on texture features”, Physics in Medicine and Biology, 66(15): 15NT03, 2021.

11. Xianfan Gu#, Zhou Liu#, Jinjie Zhou, Honghong Luo, Canwen Che, Qian Yang, Lijian Liu, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Dehong Luo*, Zhanli Hu*, “Contrast-enhanced CT to noncontrast CT transformation via adjacency content transfer-based deep subtraction residual neural network”, Physics in Medicine and Biology, 66(14): 145017, 2021.

12. Changhui Jiang#, Xu Zhang#, Na Zhang, Qiyang Zhang, Chao Zhou, Jianmin Yuan, Qiang He, Yongfeng Yang, Xin Liu, Hairong Zheng, Wei Fan*, Zhanli Hu*, Dong Liang*, “Synthesizing PET/MR (T1-weighted) images from non-attenuation-corrected PET images”, Physics in Medicine and Biology, 66(13): 135006, 2021.

13. Zixiang Chen, Dong Zeng, Zhenxing Huang, Jianhua Ma, Zheng Gu, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu*, “Temporal feature prior-aided separated reconstruction method for low-dose dynamic myocardial perfusion computed tomography”, Physics in Medicine and Biology, 66(4): 045012, 2021.

14. Zhenxing Huang, Zixiang Chen, Jincai Chen, Ping Lu*, Guotao Quan, Yanfeng Du, Chenwei Li, Zheng Gu, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu*, “DaNet: dose-aware network embedded with dose-level estimation for low-dose CT imaging”, Physics in Medicine and Biology, 66(1): 015005, 2021.

15. Zhanli Hu, Hengzhi Xue, Qiyang Zhang, Juan Gao, Na Zhang, Sijuan Zou, Yueyang Teng, Xin Liu, Yongfeng Yang, Dong Liang, Xiaohua Zhu*, Hairong Zheng*, “DPIR-Net: Direct PET image reconstruction based on the Wasserstein generative adversarial network”, IEEE Transactions on Radiation and Plasma Medical Sciences, 5(1): 35-43, 2021. 

16. Zhenxing Huang#, Xinfeng Liu#, Rongpin Wang, Jincai Chen*, Ping Lu, Qiyang Zhang, Changhui Jiang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu*, “Considering anatomical prior information for low-dose CT image enhancement using attribute-agumented Wasserstein generative adversarial networks”, Neurocomputing, 428: 104-115, 2021.

17. Zhenxing Huang#, Xinfeng Liu#, Rongpin Wang*, Mudan Zhang, Xianchun Zeng, Jun Liu, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang*, Zhanli Hu*, “FaNet: Fast Assessment Network for the Novel Coronavirus (COVID-19) Pneumonia Based on 3D CT Imaging and Clinical Symptoms”, Applied Intelligence, 51(5): 2838-2849, 2021.

18. Zhiyuan Huang, Zixiang Chen, Qiyang Zhang, Guotao Quan, Min Ji, Chengjin Zhang, Yongfeng Yang, Xin Liu, Dong Liang, Hairong Zheng*, Zhanli Hu*, “CaGAN: a cycle-consistent generative adversarial network with attention for low-dose CT imaging”, IEEE Transactions on Computational Imaging, 6: 1203-1218, 2020.

19. Tianyi Zeng#, Juan Gao#, Dongfang Gao, Zhonghua Kuang, Ziru Sang, Xiaohui Wang, Lingzhi Hu, Qun Chen, Xu Chu, Dong Liang, Xin Liu, Yongfeng Yang, Hairong Zheng*, Zhanli Hu*, “A GPU-accelerated fully 3D OSEM image reconstruction for a high-resolution small animal PET scanner using dual-ended readout detectors”, Physics in Medicine and Biology, 65(24): 245007, 2020.

20. Zhanli Hu#, Yongchang Li#, Sijuan Zou, Hengzhi Xue, Ziru Sang, Xin Liu, Yongfeng Yang, Xiaohua Zhu*, Dong Liang*, Hairong Zheng*, “Obtaining PET/CT images from non-attenuation corrected PET images in a single PET system using Wasserstein generative adversarial networks”, Physics in Medicine and Biology, 65(21): 215010, 2020.

21. Qiyang Zhang#, Juan Gao#, Yongshuai Ge#, Na Zhang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu*, “PET Image Reconstruction Using a Cascading Back-Projection Neural Network”, IEEE Journal of Selected Topics in Signal Processing, 14(6): 1100-1111, 2020.


scientific research project

1. National Natural Science Foundation of China, excellent youth project, 1.2 million, in research, host


2. National Natural Science Foundation of China, general project, 580,000 yuan, in research, host


3. Guangdong Province, international cooperation project, 500,000 yuan, completed, host


4. Guangdong Province, general project, 100,000 yuan, completed, host


5. Shenzhen City, outstanding youth project, 4.5 million, under research, host


6. Shenzhen, key project, 1.5 million, under research, host


7. Shenzhen, international cooperation project, 500,000 yuan, completed, host