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、医学图像处理、临床图像人工智能分析、人工智能与医学图像大数据。


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,博士、研究员、博士生导师、国自然“优秀青年基金”获得者、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,研究领域为医学成像、医学图像处理、临床图像人工智能分析、人工智能与医学图像大数据。自2008年4月入职中国科学院深圳先进技术研究院以来,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,已与高端医疗器械企业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、跨尺度的生物医学成像前沿科学突破,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,将提出的医学成像方法应用在国产CT和PET成像系统中。因在高端医学仪器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”。近年来以通讯或第一作者在PMB, Medical Physics, IEEE TCI, IEEE JBHI, IEEE TRPMS, Neurocomputing等本领域权威期刊发表SCI论文30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、企业横向项目多项。

招生信息

​生物医学工程相关专业,医学成像、医学图像处理、临床图像人工智能分析、人工智能与医学图像大数据

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

近3年代表性论文:

1. 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 PhysicsVol. 48, No. 9, pp. 5259-5271, 2021.
2. 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, Vol. 25, No. 9, pp. 3416-3427, 2021.
3. 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*, “Note: MRI-aided kernel PET image reconstruction method based on texture features”, Physics in Medicine and Biology, Vol. 66, No. 15: 15NT03, 2021.
4. 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, Vol. 66, No. 13: 135006, 2021.
5. 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, Vol. 66, No. 14: 145017, 2021.
6. 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, Vol. 66, No. 4: 045012, 2021.
7. 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, Vol. 66, No. 1: 015005, 2021.
8. 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, Vol. 5, No. 1, pp. 35-43, 2021.
9. 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, Vol. 428, pp. 104-115, 2021.
10. 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, Vol. 51, No. 5, pp. 2838-2849, 2021.
11. 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, Vol. 6, pp. 1203-1218, 2020.
12. 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, Vol. 65, No. 24: 245007, 2020.
13. 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, Vol. 65, No. 21: 215010, 2020.
14. 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, Vol. 14, No. 6, pp. 1100-1111, 2020.

科研项目

1. 国家自然科学基金(优秀青年基金),32022042,低剂量医学成像方法,2021/01-2023/12,120万,主持
2. 国家自然科学基金(面上项目),81871441,低剂量PET/MRI成像研究,2019/01-2022/12,58万,主持
3. 深圳市科创委(杰青项目),RCJC20200714114436080,动态PET/MR定量参数成像研究,2021/04-2026/04,450万,主持
4. 广东省国际科技合作项目,2018A050506064,低剂量PET/MRI成像关键技术,2018/12-2021/11,50万,主持
5. 广东省自然科学基金(面上项目),2020A1515010733,基于磁共振图像先验的低剂量脑PET/MRI成像研究,2019/10-2022/09,10万,主持
6. 广东省科学技术厅,2017TQ04R395,广东省特支计划青年拔尖人才,2018/08-2021/07,50万元,主持
7. 深圳市科创委(国际合作研究项目),GJHZ20180928115824168,基于深度稀疏表达的超分辨PET/MRI成像,2019/09-2021/09,50万,主持