胡戰利

醫學成像、醫學圖像處理、臨牀圖像人工智能分析、人工智能與醫學圖像大數據。

胡戰利，中國科學院深圳先進技術研究院，研究員、博士生導師、國家自然科學基金“優秀青年基金”獲得者 ^[2]  、廣東省特支計劃青年拔尖人才 ^[3]  、深圳市孔雀計劃人才，研究領域為醫學PET與CT成像、PET-MR成像、臨牀圖像人工智能分析。一直致力於醫學成像方法研發，突破現有醫學成像技術在空間分辨率、時間分辨率和輻射劑量等方面的極限。在實現學術前沿突破的同時也參與了我國多項高端醫療裝備和科研儀器的自主研發，打破國外技術壁壘、將提出的醫學成像方法應用在國產CT和PET成像系統中。因在高端醫學儀器關鍵技術實現和研究方面的創新性成果獲得“中國科學院科技促進發展獎”。以通訊/第一作者在EJNMMI, European Radiology, EJR, IEEE JBHI/TBME/TCI/TRPMS,Neurocomputing, Medical Physic, PMB等本領域國際期刊發表SCI論文40餘篇。 ^[4]  ；作為第一發明人授權的9項發明專利技術和2個軟件著作權已轉讓企業。先後主持國自然優青項目/面上項目、廣東省國際合作項目、深圳市傑青項目/重點項目/國際合作項目、企業橫向項目多項。團隊注重醫學影像上下游生態協作，已與高端醫療器械企業上海聯影公司和全國多家三甲醫院開展深入臨牀科研合作，面向解決醫療產業和醫學臨牀中的實際問題。

1. 國家自然科學基金，優青項目，120萬，主持

2. 國家自然科學基金，面上項目，58萬，主持

3. 廣東省，國際合作項目，50萬，主持

4. 廣東省，面上項目，10萬，主持

5. 深圳市，傑青項目，450萬，主持

6. 深圳市，重點項目，150萬，主持

7. 深圳市，國際合作項目，50萬，主持

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

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

3. Zhenxing Huang, Zixiang Chen, Guotao Quan, YanfengDu, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu*, “Deepcascade residual networks (DCRNs): optimizing an encoder-decoder convolutional neuralnetwork for low-dose CT imaging”, IEEE Transactions on Radiation and PlasmaMedical Sciences, Online, 2022.

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

5. Qingneng Li^#, Xiaohua Zhu^#, Sijuan Zou^#, Na Zhang, Xin Liu, Yongfeng Yang, Hairong Zheng, Dong Liang, ZhanliHu*, “Eliminating CT radiation for clinical PET examination using deeplearning”, 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, ZhanliHu*, “Accurate total-body Ki parametric imaging with shortened dynamic ¹⁸F-FDGPET 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*, “Spatialadaptive and transformer fusion network (STFNet) for low-count PET blinddenoising with MRI”, Medical Physics,49(1): 343-356, 2022.

8. Haiyan Wang, Zhenxing Huang, Qiyang Zhang, DongfangGao, 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/orMR kernels”, Medical Physics, 48(9):5259-5271, 2021.

9. ZhenxingHuang^#,Xinfeng Liu^#, Rongpin Wang, Zixiang Chen, Yongfeng Yang, XinLiu, Hairong Zheng, Dong Liang, Zhanli Hu*, “Learning a deep cnn denoisingapproach using anatomical prior information implemented with attentionmechanism for low-dose CT imaging on clinical patient data from multiple anatomicalsites”, IEEE Journal of Biomedical and HealthInformatics, 25(9): 3416-3427, 2021 (封面).

10. DongfangGao^#, XuZhang^#,Chao Zhou, Wei Fan, Tianyi Zeng, Qian Yang, Jianmin Yuan, Qiang He, Dong Liang,Xin Liu, Yongfeng Yang, Hairong Zheng, Zhanli Hu*, “MRI-aidedkernel 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, CanwenChe, Qian Yang, Lijian Liu, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang,Dehong Luo*, Zhanli Hu*, “Contrast-enhanced CT to noncontrast CT transformationvia 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, WeiFan*, Zhanli Hu*, Dong Liang*, “Synthesizing PET/MR (T1-weighted) imagesfrom non-attenuation-corrected PET images”, Physics inMedicine 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, ZhanliHu*, “Temporal feature prior-aided separated reconstruction method for low-dosedynamic myocardial perfusion computed tomography”, Physics in Medicine and Biology,66(4): 045012, 2021.

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

15. Zhanli Hu, Hengzhi Xue, Qiyang Zhang, Juan Gao, Na Zhang, Sijuan Zou, YueyangTeng, Xin Liu, Yongfeng Yang, Dong Liang, Xiaohua Zhu*, Hairong Zheng*, “DPIR-Net: DirectPET image reconstruction based on the Wasserstein generative adversarialnetwork”, IEEE Transactionson 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 anatomicalprior information for low-dose CT image enhancement using attribute-agumented Wassersteingenerative adversarial networks”, Neurocomputing, 428: 104-115,2021.

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

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

19. Tianyi Zeng^#, Juan Gao^#,Dongfang Gao, Zhonghua Kuang, Ziru Sang, Xiaohui Wang, Lingzhi Hu, Qun Chen, XuChu, Dong Liang, Xin Liu, Yongfeng Yang, Hairong Zheng*, Zhanli Hu*, “AGPU-accelerated fully 3D OSEM image reconstruction for a high-resolution smallanimal 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, YongfengYang, Xiaohua Zhu*, Dong Liang*, Hairong Zheng*, “Obtaining PET/CT images fromnon-attenuation corrected PET images in a single PET system using Wassersteingenerative 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 ReconstructionUsing a Cascading Back-Projection Neural Network”, IEEE Journal of Selected Topics in SignalProcessing, 14(6): 1100-1111, 2020.

081104-模式識別與智能系統

085400-電子信息

083100-生物醫學工程

醫學圖像重建

臨牀圖像人工智能分析

深度學習