基本信息

胡战利,研究员、博导、国家优青、国家重点研发计划首席科学家、国自然数学天元重点专项负责人、广东省青拔、深圳市杰青

研究领域为医学PET/MR与PET/CT成像、人工智能医学影像、图像处理、人工智能、影像组学


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

    

胡战利博士是中国科学院深圳先进技术研究院·劳特伯生物医学成像研究中心的研究员、博士生导师、国自然优秀青年基金获得者(2020)、国家重点研发计划首席科学家(2023)、国自然数学天元重点专项负责人(2023)、广东省特支计划青年拔尖人才(2018)、深圳市杰出青年基金获得者(2020,研究领域为医学PET/MR与PET/CT成像、人工智能医学影像。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和全国数十家三甲医院开展深入科研合作,面向解决医疗产业和医学临床中的实际问题。

从2008年4月至今,胡战利研究员一直在中国科学院深圳先进技术研究院·劳特伯生物医学成像研究中心工作。2014年获得博士学位(导师 郑海荣院士),2016年和2020年分别晋升为副研究员和研究员。一直致力于高端医疗装备核心技术的自主研发,突破了现有高端医疗装备在空间分辨率、时间分辨率和辐射剂量等方面的极限。先后荣获“中国科学院科技促进发展奖(2015)”、“中国体视学学会青年科学技术奖(2022)”、“中国图象图形学学会技术发明奖二等奖(2023)”、“中国国际高新技术成果交易会优秀产品奖(2023)”、“2023年中国产学研合作创新奖(个人)”、“吴文俊人工智能技术发明奖二等奖(2023)”。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”。已实现多模态、跨尺度的医学成像技术前沿科学突破,同时带动了我国高端医疗装备和科研仪器的自主研发。以通讯/第一作者在EJNMMI, European Radiology, EJR, IEEE TMI/JBHI/TBME/TCI/TRPMS, Medical Physics, PMB等本领域国际权威期刊发表SCI论文100余篇。以第一发明人授权国家发明专利30余项、美国专利2项。研究成果以发明专利和软件著作权先后转让到企业,相关技术转化到了高端医疗器械龙头企业【上海联影公司】,落地到了国产PET/MRPET/CTCT产品中,在联影的PETCT系统上已装机200余台、市值40亿元。在超过200家三甲医院进行了临床应用和技术推广,累计服务了超过10万名临床患者的诊疗健康检查,产生了良好的经济和社会效益。先后主持国自然优秀青年基金、数学天元重点专项、面上项目,国家重点研发计划(首席科学家),广东省卓越青年团队项目、国际合作项目,深圳市杰青项目、重点项目、国际合作项目,深圳医科院原创探索项目,企业横向项目多项,项目经费总额累积5000余万元。团队现有副研究员、助理研究员、博士后、研究助理、博士和硕士研究生共30余人。

 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

获奖荣誉

2023年,吴文俊人工智能技术发明奖二等奖,第一完成人

2023年,中国产学研合作创新奖(个人)

2023年,中国图象图形学学会技术发明奖二等奖,第一完成人

2023年,深圳市第三届优秀学术论文奖

2023年,第二十五届中国国际高新技术成果交易会优秀产品奖,第一完成人

2022年,中国体视学学会青年科学技术奖

2022年,深圳市第二届优秀学术论文奖

2022年,第二十四届中国国际高新技术成果交易会优秀产品奖,第一完成人

2022年,第二届率先杯未来技术创新大赛决赛优胜奖,第一完成人

2020年,国家自然科学基金优秀青年基金

2018年,广东省特支计划科技创新青年拔尖人才

2018年,深圳市孔雀计划海外高层次人才

2018年,深圳市高层次专业人才

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

PET/MR和PET/CT成像,CT与MR成像,人工智能,图像重建,伪影校正,影像组学

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

教育与工作经历

2020/12-至今,中国科学院深圳先进技术研究院,研究员

2016/12-2020/12,中国科学院深圳先进技术研究院,副研究员

2015/11-2016/11,美国加州大学(戴维斯),访问学者(合作导师:Jinyi Qi

2011/10-2016/12,中国科学院深圳先进技术研究院,助理研究员

2010/09-2014/01中国科学院深圳先进技术研究院,计算机应用技术,博士(导师:郑海荣 院士

2010/10-2011/10,中国科学院深圳先进技术研究院,工程师

2008/04-2010/10,中国科学院深圳先进技术研究院,研究助理

2005/09-2008/03,哈尔滨工程大学,生物医学工程,硕士(导师:李金

先后主持的科研项目

1. 国家重点研发计划(重大科学仪器设备研发),正电子发射计算机断层成像与磁共振双模态成像分析仪,2024/01-2026/12,主持(首席科学家)

2. 国家自然科学基金(优秀青年基金),低剂量医学成像方法,2021/01-2023/12,主持,优秀结题

3. 国家自然科学基金(数学天元重点专项),基于核医学影像分析/判读的智能诊疗一体化基础模型与系统,2024/01-2025/12,主持

4. 国家自然科学基金(面上项目),面向阿尔茨海默病早期诊断的低剂量PET定量成像与智能分析,2024/01-2027/12,主持

5. 国家自然科学基金(面上项目),基于稀疏表示模型和先验结构信息的低剂量PET/MRI成像研究,2019/01-2022/12,主持,已结题

6. 广东省自然科学基金(卓越青年团队项目),2024/01-2027/12,300万,主持

7. 广东省国际科技合作项目,2018/12-2021/11,50万,主持,已结题

8. 深圳市科创委(杰青项目),2021/04-2026/04,450万,主持

9. 深圳市科创委(重点项目),2023/02-2026/02,150万,主持

10. 深圳市科创委(国际合作研究项目),2019/09-2021/09,50万,主持,已结题

11. 深圳医学科学院(原创探索项目),2024/01-2025/12,100万,主持

12. 深圳市专项资金,移动式高分辨静态CT系统研发,2023/12-2025/12,200万,主持

近三年发表的论文(通讯作者/第一作者)

(一)代表性论文:

1.     Qiyang Zhang, Yingying Hu, Yumo Zhao, Jing Cheng, Wei Fan, Debin Hu, Fuxiao Shi, Shuangliang Cao, Yun Zhou, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang*, Zhanli Hu*, “Deep generalized learning model for PET image reconstruction”, IEEE Transactions on Medical Imaging, Accepted, 2023.

2.     Zhenxing Huang#, Wenbo Li#, Yaping Wu#, Nannan Guo, Lin Yang, Na Zhang, Zhifeng Pang, Yongfeng Yang, Yun Zhou, Yue Shang, Hairong Zheng, Dong Liang, Meiyun Wang*, Zhanli Hu*, “Short-axis PET image quality improvement based on a uEXPLORER total-body PET system through deep learning”, European Journal of Nuclear Medicine and Molecular Imaging, Accepted, 2023.

3.     Ganglin Liang#, Jinpeng Zhou#, Zixiang Chen, Liwen Wan, Xieraili Wumener, Yarong Zhang, Dong Liang, Ying Liang*, Zhanli Hu*, “Combining deep learning with a kinetic model to predict dynamic PET images and generate parametric images”, EJNMMI Physics, 10: 67, 2023.

4.     Lin Liu#, Xingyu Chen#, Liwen Wan, Na Zhang, Ruibao Hu, Wenbo Li, Shengping Liu, Yan Zhu, Hua Pang, Dong Liang, Yue Chen*, Zhanli Hu*, “Feasibility of a deep learning algorithm to achieve the low-dose 68Ga-FAPI/the fast-scan PET images: a multicenter study”, British Journal of Radiology, 96(1149): 20230038, 2023.

5.     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 lung static PET”, European Radiology, 33(4): 2676-2685, 2023.

6.     Minghan Fu#, Meiyun Wang#, Yaping Wu#, Na Zhang, Yongfeng Yang, Haining Wang, Yun Zhou, Yue Shang, Fang-Xiang Wu, Hairong Zheng, Dong Liang, Zhanli Hu*, “A two-branch neural network for short-axis PET image quality enhancement”, IEEE Journal of Biomedical and Health Informatics, 27(6): 2864-2875, 2023 (封面).

7.     Minghan Fu#, Yanhua Duan#, Zhaoping Cheng#, Wenjian Qin, Ying Wang, Dong Liang, Zhanli Hu*, “Total-body low-dose CT image denoising using a prior knowledge transfer technique with a contrastive regularization mechanism”, Medical Physics, 50(5): 2971-2984, 2023.

8.     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, 50(4): 2121-2134, 2023.

9.     Zhi-Feng Pang, Meng-Xiao Geng, Lan Zhang, Yanru Zhou, Tieyong Zeng, Liyun Zheng, Na Zhang, Dong Liang, Hairong Zheng, Yongming Dai, Zhenxing Huang*, Zhanli Hu*, “Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation”, Signal Processing, 205: 108881, 2023.

10.  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, 69(12): 3689-3702, 2022.

11.  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, 6(8): 829-840, 2022.

12.  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.

13.  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.

14.  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.

15.  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.

16.  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).

17.  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.

18.  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.

19.  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.

20.  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.

21.  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.

22.  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.

23.  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.

24.  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.

25.  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.

26.  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.

27.  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.

28.  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.

 

 

(二)其它论文:

29.  Ruibao Hu#, Yongsheng Xie#, Lulu Zhang#, Lijian Liu, Honghong Luo, Ruodai Wu, Dehong Luo, Zhou Liu*, Zhanli Hu*, “A two-stage deep-learning framework for CT denoising based on a clinically structure-unaligned paired data set”, Quantitative Imaging in Medicine and Surgery, Accepted, 2023.

30.  Xiaohui Yao#, Yuan Zhu#, Zhenxing Huang#, Yue Wang, Shan Cong, Liwen Wan, Ruodai Wu, Long Chen*, Zhanli Hu*, “Fusion of shallow and deep features from 18F-FDG PET/CT for predicting EGFR-sensitizing mutations in non-small cell lung cancer”, Quantitative Imaging in Medicine and Surgery, Accepted, 2023.

31.  Zixiang Chen, Na Zhang, Qiyang Zhang, Kaiyi Liang, Zhenxing Huang, Guotao Quan, Xiang Li, Dong Liang, Zhanli Hu*, “Low-dose dynamic cerebral perfusion CT reconstruction based on voxel-level TAC correction (VTC)”, Biomedical Signal Processing and Control, 86: 105225, 2023.

32.  Wenbo Li#, Zhenxing Huang#, Chao Zhou, Xu Zhang, Wei Fan, Dong Liang, Zhanli Hu*, “Adaptive 3D noise level-guided restoration network for low-dose PET imaging”, Interdisciplinary Medicine, 1(3): e20230012, 2023 (Back Cover).

33.  Hai Kong#, Zhidong Yuan#, Haojie Zhou, Ganglin Liang, Zhonghong Yan, Guanxun Cheng*, Zhanli Hu*, “Synthetic high-energy computed tomography images via a wasserstein generative adversarial network with the convolutional block attention module”, Quantitative Imaging in Medicine and Surgery, 13(7): 4365-4379, 2023.

34.  Xianfan Gu, Yu Zhang, Wen Zeng, Sihua Zhong, Haining Wang, Dong Liang, Zhenlin Li*, Zhanli Hu*, “Cross-modality image translation: CT image synthesis of MR brain images using multi generative network with perceptual supervision”, Computer Methods and Programs in Biomedicine, 237: 107571, 2023.

35.  黄正勇,胡战利*. 基于交叉学习的PET/CT双模态头颈部肿瘤分割,中国体视学与图像分析,27(3):220-229,2022.

36.  Zhengyong Huang#, Sijuan Zou#, Guoshuai Wang, Zixiang Chen, Hao Shen, Haiyan Wang, Na Zhang, Lu Zhang, Fan Yang, Haining Wang, Dong Liang, Tianye Niu, Xiaohua Zhu*, Zhanli Hu*, “ISA-Net: Improved spatial attention network for PET-CT tumor segmentation”, Computer Methods and Programs in Biomedicine, 226: 107129, 2022.

37.  Guoshuai Wang#, Zhou Liu#, Zhengyong Huang, Na Zhang, Honghong Luo, Lijian Liu, Hao Shen, Canwen Che, Tianye Niu, Dong Liang, Dehong Luo*, Zhanli Hu*, “Improved GAN: Using a Transformer module generator approach for material decomposition”, Computers in Biology and Medicine, 149: 105952, 2022.

38.  Zhengyong Huang#, Si Tang#, Zixiang Chen, Guoshuai Wang, Hao Shen, Yun Zhou, Haining Wang, Wei Fan, Dong Liang, Yingying Hu*, Zhanli Hu*, “TG-Net: Combining Transformer and GAN for nasopharyngeal carcinoma tumor segmentation based on total-body uEXPLORER PET/CT scanner”, Computers in Biology and Medicine, 148: 105869, 2022.

39.  Fuquan Deng#, Xiaoyuan Li#, Fengjiao Yang, Hongwei Sun, Jianmin Yuan, Qiang He, Weifeng Xu, Yongfeng Yang, Dong Liang, Xin Liu, Greta S. P. Mok, Hairong Zheng, Zhanli Hu*, “Low-Dose 68 Ga-PSMA prostate PET/MRI imaging using deep learning based on MRI priors”, Frontiers in Oncology, 11: 818329, 2022.

40.  Yue Wang, Haihua Cai, Yongzhu Pu, Jindan Li, Fake Yang, Conghui Yang, Long Chen*, Zhanli Hu*, “The value of AI in the diagnosis, treatment, and prognosis of malignant lung cancer”, Frontiers in Radiology, 2: 810731, 2022.

41.  Zhanglei Ouyang#, Shujun Zhao#, Zhaoping Cheng#, Yanhua Duan, Zixiang Chen, Na Zhang, Dong Liang, Zhanli Hu*, “Dynamic PET imaging using dual texture features”, Frontiers in Computational Neuroscience, 15: 819840, 2022.

42.  Fuquan Deng#, Qian Wan#, Yingting Zeng, Yanbin Shi, Huiying Wu, Yu Wu, Weifeng Xu, Greta S. P. Mok, Xiaochun Zhang*, Zhanli Hu*, “Image restoration of motion artifacts in cardiac arteries and vessels based on a generative adversarial network”, Quantitative Imaging in Medicine and Surgery, 12(5): 2755-2766, 2022.

43.  Haojie Zhou#, Xinfeng Liu#, Haiyan Wang, Qihang Chen, Rongpin Wang, Zhi-Feng Pang, Yong Zhang*, Zhanli Hu*, “The synthesis of high-energy CT images from low-energy CT images using an improved cycle generative adversarial network”, Quantitative Imaging in Medicine and Surgery, 12(1): 28-42, 2022.

44.  Xin Mao#, Shujun Zhao#, Xiangxi Meng#, Yuxi Jin, Hanjing Kong, Jianmin Yuan, Qiang He, Dong Liang, Jiangyuan Yu*, Zhanli Hu*, “PET parametric imaging based on MR frequency-domain texture information”, Nuclear Instruments and Methods in Physics Research A, 1029: 166411, 2022.

45.  Jing Fu#, Fei Feng#, Huimin Quan#, Qian Wan, Zixiang Chen, Xin Liu, Hairong Zheng, Dong Liang, Guanxun Cheng*, Zhanli Hu*, “PWLS-PR: Low-Dose Computed Tomography Image Reconstruction Using a Patch-Based Regularization Method Based on the Penalized Weighted Least Squares Total Variation Approach”, Quantitative Imaging in Medicine and Surgery, 11(6): 2541-2559, 2021.

46.  Hengzhi Xue#, Qiyang Zhang#, Sijuan Zou#, Weiguang Zhang, Chao Zhou, Changjun Tie, Qian Wan, Yueyang Teng, Yongchang Li, Dong Liang, Xin Liu, Yongfeng Yang, Hairong Zheng, Xiaohua Zhu*, Zhanli Hu*, “LCPR-Net: Low-count PET image reconstruction using the domain transform and cycle-consistent generative adversarial networks”, Quantitative Imaging in Medicine and Surgery, 11(2): 749-762, 2021.

47.  Fuquan Deng#, Changjun Tie#, Yingting Zeng, Yanbin Shi, Huiying Wu, Yu Wu, Dong Liang, Xin Liu, Hairong Zheng, Xiaochun Zhang*, Zhanli Hu*, “Correcting motion artifacts in coronary computed tomography angiography images using a dual-zone cycle generative adversarial network”, Journal of X-Ray Science and Technology, 29(4): 577-595, 2021.

48.  Zhanli Hu, Zixiang Chen, Chao Zhou, Xuda Hong, Jianwei Chen, Qiyang Zhang, Changhui Jiang, Yongshuai Ge, Yongfeng Yang, Xin Liu, Hairong Zheng, Zhicheng Li*, Dong Liang*, “Evaluation of reconstruction algorithms for a stationary digital breast tomosynthesis system using a carbon nanotube X-ray source array”, Journal of X-Ray Science and Technology, 28(6): 1157-1169, 2020.

49.  Zixiang Chen, Qiyang Zhang, Chao Zhou, Mengxi Zhang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu*, “Low-dose CT reconstruction method based on prior information of normal-dose image”, Journal of X-Ray Science and Technology, 28(6): 1091-1111, 2020.

50.  Yangsu He#, Wenjian Qin#, Yin Wu#, Mengxi Zhang, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang*, Zhanli Hu*, “Automatic left ventricle segmentation from cardiac magnetic resonance images using a capsule network”, Journal of X-Ray Science and Technology, 28(3): 541-553, 2020.

51.  Qihang Chen, Zhidong Yuan, Chao Zhou, Weiguang Zhang, Mengxi Zhang, Yongfeng Yang, Dong Liang, Xin Liu, Hairong Zheng, Guanxun Cheng*, Zhanli Hu*, “Low-dose dental CT image enhancement using a multiscale feature sensing network”, Nuclear Instruments and Methods in Physics Research A, 981: 164530, 2020.

52.  Wenjian Qin#, Yin Wu#, Siyue Li, Yucheng Chen, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu*, “Automated segmentation of the left ventricle from MR cine imaging based on deep learning architecture”, Biomedical Physics & Engineering Express, 6(2): 025009, 2020.

授权专利

1.   胡战利、梁栋、黄振兴、杨永峰、刘新、郑海荣. 基于解剖结构差异先验的低剂量图像重建方法和系统. 发明专利,已获授权,专利号ZL 201911312709.4,授权日2023-04-25
2.   胡战利、梁栋、李永昌、郑海荣、杨永峰、刘新. 基于非衰减校正PET图像生成合成PET-CT图像的方法和系统. 发明专利,已获授权,专利号ZL 202010084751.1,授权日2023-04-25
3.   胡战利、梁栋、黄振兴、杨永峰、刘新、郑海荣. 基于多剂量等级的低剂量图像增强方法、系统及存储介质. 发明专利,已获授权,专利号ZL 202010132540.0,授权日2023-04-07
4.   胡战利、梁栋、李快、杨永峰、刘新、郑海荣. CT图像重建方法、装置、存储介质和计算机设备. 发明专利,已获授权,专利号ZL 201910369958.0,授权日2023-01-24
5.   胡战利、杨永峰、梁栋、刘新、郑海荣. 低剂量PET图像重建方法、装置、设备及存储介质. 发明专利,已获授权,专利号ZL 201810846916.7,授权日2022-12-23
6.   胡战利、梁栋、谷佩键、杨永峰、刘新、郑海荣. 字典训练及图像超分辨重建方法、系统、设备及存储介质. 发明专利,已获授权,专利号ZL 201811519177.7,授权日2022-09-27
7.   胡战利、杨永峰、张万红、梁栋、刘新、郑海荣. PET图像的重建方法、计算机存储介质、计算机设备. 发明专利,已获授权,专利号201811536162.1,授权日2022-09-20
8.   郑海荣、刘新、胡战利、张娜、梁栋、杨永峰. 用于斑块分割的模型训练方法、装置、设备及存储介质. 发明专利,已获授权,专利号ZL 201811100334.0,授权日2021-08-31
9.   胡战利、梁栋、李思玥、杨永峰、刘新、郑海荣. 电子计算机断层扫描前端设备、系统、方法及存储介质. 发明专利,已获授权,专利号ZL 201811268175.5,授权日2021-02-26
10. 郑海荣、刘新、胡战利、张娜、梁栋、杨永峰. 磁共振血管壁成像的斑块处理方法、装置和计算设备. 发明专利,已获授权,专利号ZL 201810818827.1,授权日2021-01-22