基本信息

胡战利,研究员、博士生导师、国家优青,研究领域为医学成像技术及其临床应用、医学图像处理和人工智能医学影像


电子邮件: zl.hu@siat.ac.cn
通信地址: 深圳市南山区西丽学苑大道1068号 中科院深圳先进技术研究院


个人简介

         胡战利,中国科学院深圳先进技术研究院,博士、研究员、博士生导师、国家优青、广东省特支计划青年拔尖人才、深圳市孔雀计划海外高层次人才,研究方向为医学成像技术及其临床应用、医学图像处理和人工智能医学影像。一直致力于医学成像方法研发,突破现有医学成像技术在空间分辨率、时间分辨率和辐射剂量等方面的极限。团队注重医学影像上下游生态协作,已与高端医疗器械龙头企业上海联影公司和全国多家三甲医院开展深入临床科研合作,面向解决医疗产业和医学临床中的实际问题。

         已实现多模态、跨尺度的医学成像技术前沿科学突破,同时带动我国高端医疗装备和科研仪器的自主研发。打破国外技术壁垒,将提出的医学成像技术应用在国产高端医疗设备中。因在高端医疗装备关键技术实现和研究方面的创新性成果获得“中国科学院科技促进发展奖”。以通讯/第一作者在EJNMMI, European Radiology, EJR, IEEE JBHI/TBME/TCI/TRPMS, Neurocomputing, Medical Physic, PMB等本领域国际权威期刊发表SCI论文40余篇。以第一发明人授权的9项国家发明专利技术已转让企业(转让金额174万);作为第一软件开发人,授权软件著作权2项并以股权注资企业(折合280万)。先后主持国自然优青项目/面上项目、广东省国际合作项目、深圳市杰青项目/重点项目/国际合作项目、企业横向项目多项。项目经费4000余万元,团队现有博士后3名、博士生2名、硕士生8名、客座硕士/博士6名。

      个人主页:https://people.ucas.edu.cn/~huzhanli

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



招生信息

医学成像技术及其临床应用、医学图像处理和人工智能医学影像

招生专业
081104-模式识别与智能系统
085400-电子信息
083100-生物医学工程
招生方向
医学图像重建
临床图像人工智能分析
深度学习

发表论文

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.


科研项目

1. 国家自然科学基金,优青项目,120万,在研,主持

2. 国家自然科学基金,面上项目,58万,在研,主持

3. 广东省,国际合作项目,50万,已结题,主持

4. 广东省,面上项目,10万,已结题,主持

5. 深圳市,杰青项目,450万,在研,主持

6. 深圳市,重点项目,150万,在研,主持

7. 深圳市,国际合作项目,50万,已结题,主持