胡戰利，男，醫學成像科學與技術系統全國重點實驗室數理學部副主任、中國科學院與香港地區聯合實驗室副主任、中國科學院深圳先進技術研究院·醫學人工智慧研究中心副主任，研究員、博士生導師、國自然優秀青年基金獲得者（2020）、國家重點研發計畫首席科學家（2023）、國自然數學天元重點專項負責人（2023）、國家重點研發計畫戰略性科技創新合作重點專項負責人（2024），研究領域為醫學PET/MR與PET/CT成像、人工智慧醫學影像。團隊注重醫學影像上下游生態協作，已與高端醫療器械龍頭企業和全國數十家三甲醫院開展深入科研合作，面向解決醫療產業和醫學臨床中的實際問題。
基本介紹
研究方向,個人簡介,代表項目,代表論文,招生專業,招生方向,
研究方向
醫學PET/MR與PET/CT成像、人工智慧醫學影像
個人簡介
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、廣東省特支計畫青年拔尖人才、深圳市孔雀計畫人才，研究領域為醫學PET與CT成像、PET-MR成像、臨床圖像人工智慧分析。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解析度、時間解析度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套用在國產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。；作為第一發明人授權的9項發明專利技術和2個軟體著作權已轉讓企業。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床科研合作，面向解決醫療產業和醫學臨床中的實際問題。
代表項目
1. 國家重點研發計畫（重大科學儀器設備研發重點專項），正電子發射計算機斷層成像與磁共振雙模態成像分析儀，2024/01-2026/12，1800萬，主持（首席科學家）
2. 國家重點研發計畫（戰略性科技創新合作重點專項），用於阿爾茨海默病的多模態PET/MR成像技術研發，2025/01-2027/12，200萬，主持
3. 國家自然科學基金（優秀青年基金），低劑量醫學成像方法，2021/01-2023/12，120萬，主持，優秀結題
4. 國家自然科學基金（數學天元重點專項），基於核醫學影像分析/判讀的智慧型診療一體化基礎模型與系統，2024/01-2025/12，100萬，主持
5. 廣東省自然科學基金（卓越青年團隊項目），2024/01-2027/12，300萬，主持
6. 廣東省區域聯合基金（重點項目），2023/11-2026/10，100萬，主持
7. 深圳市專項資金，移動式高分辨靜態CT系統研發，2023/12-2025/12，200萬，主持
8. 深圳科技重大專項，高解析度PET成像模組系統關鍵技術研發，2025/01-2027/12，500萬，主持
代表論文
1. Xingyu Xie, WenjieZhao, Mu Nan,Zheng Zhang, Yaping Wu, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu*, “Prompt-agent-driven integration offoundation model priors for low-count PET reconstruction”, IEEE Transactions on Medical Imaging,Accepted, 2025.
2. Hongyan Tang, ZhenxingHuang, Wenbo Li, Yaping Wu,Jianmin Yuan, Yang Yang, Yan Zhang, Jin Qin, Hairong Zheng, Dong Liang, MeiyunWang*, Zhanli Hu*, “Automatic brain segmentation forPET/MR dual-modal images through a cross-fusion mechanism”, IEEE Journal of Biomedical and HealthInformatics, Accepted, 2025.
3. Qianyi Yang, Demin Xu, ZhenxingHuang, Wenbo Li, Guanxun Cheng, Tianye Niu, Hairong Zheng, Dong Liang, Fei Feng*,Zhanli Hu*, “Segmentation-based X-ray multi-objectivequality assessment network”, IEEE Transactions on Radiation and PlasmaMedical Sciences, Accepted,2025.
4. Wenbo Li, ZhenxingHuang, QiyangZhang, Na Zhang,Wenjie Zhao, Yaping Wu, Jianmin Yuan, Yang Yang, Yan Zhang, Yongfeng Yang,Hairong Zheng, Dong Liang, Meiyun Wang*, Zhanli Hu*, “Accuratewhole-brain segmentation for bimodal PET/MR images via a cross-attentionmechanism”, IEEE Transactions on Radiation and Plasma Medical Sciences,9(1): 47-56, 2025.
5. Hongmei Tang, Yang Wu, ZhaotingCheng, ShuangSong, Qingjian Dong, Yu Zhou, Zhiping Shu, ZhanliHu*, Xiaohua Zhu*, “Assessment of image-derived inputfunctions from small vessels for patlak parametric imaging using total-bodyPET/CT”,EuropeanJournal of Nuclear Medicine and Molecular Imaging,Accepted, 2025.
6. Jingxuan Ruan, Yaping Wu, HaiyanWang, Zhenxing Huang, Ziwei Liu, Xinlang Yang, Yongfeng Yang, Hairong Zheng,Dong Liang, Meiyun Wang* ZhanliHu*, “Graphtheory analysis of a human body metabolic network: a systematic andorgan-specific study”, Medical Physics,Accepted, 2025.
7. Qiyang Zhang,Zhenxing Huang, Yuxi Jin, Wenbo Li, Hairong Zheng, Dong Liang, Zhanli Hu*, “Total body PET/CT: A role ofartificial intelligence?”, Seminars in Nuclear Medicine, 55(1): 124-136, 2025.
8. Wenbo Li, Zhenxing Huang, Hongyan Tang, Yaping Wu, Yunlong Gao, Jing Qin, JianminYuan, Yang Yang, Yan Zhang, Na Zhang, Hairong Zheng, Dong Liang, Meiyun Wang*, Zhanli Hu*, “A generative whole-brainsegmentation model for positron emission tomography images”, EJNMMI Physics, Accepted, 2025.
9. Minghan Fu, Na Zhang, ZhenxingHuang, Chao Zhou, Xu Zhang, Jianmin Yuan, Qiang He, Yongfeng Yang, HairongZheng, Dong Liang, Fang-Xiang Wu, Wei Fan, Zhanli Hu*, “OIF-Net: an optical flowregistration-based PET/MR cross-modal interactive fusion network for low-countbrain PET image denoising”, IEEE Transactions on Medical Imaging,43(4): 1554-1567, 2024.
10. Qiyang Zhang, Yingying Hu, Yumo Zhao, Jing Cheng,Wei Fan, Debin Hu, Fuxiao Shi, Shuangliang Cao, Yun Zhou, Yongfeng Yang, XinLiu, Hairong Zheng, Dong Liang*, Zhanli Hu*, “Deep generalized learning model forPET image reconstruction”, IEEE Transactions on Medical Imaging,43(1): 122-134, 2024.
11. Wenbo Li, ZhenxingHuang, ZixiangChen, Yongluo Jiang, Chao Zhou, Xu Zhang, Wei Fan, Yumo Zhao, Lulu Zhang, LiwenWan, Yongfeng Yang, Hairong Zheng, Dong Liang, Zhanli Hu*, “Learning CT‑freeattenuation‑corrected total‑body PET images through deep learning”, European Radiology, 34(9): 5578-5587, 2024.
12. Zhenxing Huang, Wenbo Li, Yaping Wu, Lin Yang,Yun Dong, Yongfeng Yang, Hairong Zheng, Dong Liang, Meiyun Wang*, Zhanli Hu*, “Accurate whole-brain imageenhancement for low-dose integrated PET/MR imaging through spatial braintransformation”, IEEE Journal of Biomedical and HealthInformatics, 28(9):5280-5289, 2024 (封面).
13. Wenjie Zhao, ZhenxingHuang, Si Tang, Wenbo Li,Yunlong Gao, Yingying Hu, Wei Fan, Chuanli Cheng, Yongfeng Yang, Hairong Zheng,Dong Liang, Zhanli Hu*, “MMCA-NET: A multimodal crossattention transformer network for nasopharyngeal carcinoma tumor segmentationbased on a total-body PET/CT system”, IEEE Journal of Biomedical and HealthInformatics, 28(9):5447-5458, 2024.
14. Zixiang Chen, Yuxi Jin, Zhenxing Huang, Na Zhang,Kaiyi Liang, Guotao Quan, Dong Liang, Hairong Zheng, Zhanli Hu*, “Buildinga kinetic induced voxel-clustering filter (KVCF) for low-dose perfusion CTImaging”, IEEE Transactions on Radiation and Plasma Medical Sciences,8(7): 762-773, 2024.
15. JiaminLiu, Ning Ren, Tianyi Zeng, Zhonghua Kuang, Qiyang Zhang,Xiaohui Wang, Zheng Liu, Hairong Zheng, Dong Liang, Yongfeng Yang*, Zhanli Hu*, “The software system of a dedicated brain PETscanner using dual-ended readout detectors with high DOI resolution”, IEEE Transactions onRadiation and Plasma Medical Sciences, 8(6): 655-663, 2024.
16. ZhihuaLi, Yuxi Jin, Qingneng Li, Zhenxing Huang, Zixiang Chen, Chao Zhou, NaZhang, Xu Zhang, Wei Fan, Jianmin Yuan, Qiang He, Weiguang Zhang, Dong Liang*, Zhanli Hu*, “Medical multimodal image transformation withmodality code awareness”, IEEE Transactions onRadiation and Plasma Medical Sciences, 8(5): 511-520, 2024.
17. HaiyanWang, Han Jiang, Gefei Chen, Yu Du, Zhonglin Lu, Zhanli Hu*, Greta S. P. Mok*, “Deep-learning-basedcross-modality striatum segmentation for dopamine transporter SPECT in Parkinson’sdisease”, IEEE Transactions on Radiation andPlasma Medical Sciences, 8(7): 752-761, 2024.
18. Lin Yang, Dan Shao, ZhenxingHuang, Mengxiao Geng, Na Zhang, Long Chen, Xi Wang, Dong Liang, Zhi-Feng Pang*,Zhanli Hu*, “Few-shot segmentation framework forlung nodules via an optimized active contour model”, Medical Physics, 51(4): 2788-2805, 2024.
19. HuizhongZheng, Xinfeng Liu, Zhenxing Huang, Yan Ren, Bin Fu,Tianliang Shi, Lu Liu, Qiping Guo, Chong Tian, Dong Liang, Rongpin Wang*, Jie Chen*, Zhanli Hu*, “Deep learning for intracranialaneurysm segmentation using CT angiography”, Physics in Medicine and Biology, 69(15): 155024, 2024.
20. LinYang, Yuanyuan Lei, Zhenxing Huang, Mengxiao Geng, ZhouLiu, Baijie Wang, Dehong Luo, Wenting Huang, Dong Liang, Zhifeng Pang*, Zhanli Hu*, “An interactive nuclei segmentationframework with voronoi diagrams and a weighted convex difference model forcervical cancer pathology images”, Physics in Medicine and Biology, 69(2): 025021, 2024.
21. Qiyang Zhang, Chao Zhou, Xu Zhang, Wei Fan, HairongZheng, Dong Liang, Zhanli Hu*, “Realization of high-end PET devicesthat assist conventional PET devices in improving image quality via diffusionmodeling”,EJNMMI Physics, 11: 103, 2024.
22. Qianyi Yang, Wenbo Li, ZhenxingHuang, Zixiang Chen, Wenjie Zhao, Yunlong Gao, Xinlan Yang, Yongfeng Yang,Hairong Zheng, Dong Liang, Jianjun Liu, Ruohua Chen*, Zhanli Hu*, “Bidirectional dynamic frameprediction network for total-body [Ga]Ga-PSMA-11 and [Ga]Ga-FAPI-04PET images”,EJNMMI Physics, 11: 92, 2024.
23. Qiyang Zhang, YingyingHu, Chao Zhou, Yumo Zhao,Na Zhang, Yun Zhou, Yongfeng Yang, Hairong Zheng, Wei Fan, Dong Liang, ZhanliHu*, “Reducing pediatric total-body PET/CT imaging scan time withmultimodal artificial intelligence technology”, EJNMMI Physics, 11: 1, 2024.
24. Zhenxing Huang, Wenbo Li, Yaping Wu, Nannan Guo,Lin Yang, Na Zhang, Zhifeng Pang, Yongfeng Yang, Yun Zhou, Yue Shang, HairongZheng, Dong Liang, Meiyun Wang*, ZhanliHu*, “Short-axis PET image qualityimprovement based on a uEXPLORER total-body PET system through deep learning”, European Journal of Nuclear Medicine and Molecular Imaging, 51(1): 27-39, 2023.
25. Ganglin Liang, JinpengZhou, ZixiangChen, Liwen Wan, Xieraili Wumener, Yarong Zhang, Dong Liang, Ying Liang*, ZhanliHu*, “Combining deep learning with a kinetic model to predict dynamic PETimages and generate parametric images”, EJNMMI Physics, 10: 67, 2023.
26. Lin Liu, XingyuChen, Liwen Wan,Na Zhang, Ruibao Hu, Wenbo Li, Shengping Liu, Yan Zhu, Hua Pang, Dong Liang,Yue Chen*, Zhanli Hu*, “Feasibility of a deep learningalgorithm to achieve the low-dose Ga-FAPI/the fast-scan PETimages: a multicenter study”, British Journal of Radiology, 96(1149):20230038, 2023.
27. Haiyan Wang, Yaping Wu, ZhenxingHuang, Zhicheng Li, Na Zhang, Fangfang Fu, Nan Meng, Haining Wang, Yun Zhou,Yongfeng Yang, Xin Liu, Dong Liang, Hairong Zheng, Greta S. P. Mok, MeiyunWang*, Zhanli Hu*, “Deep learning-based dynamic PETparametric Ki image generation from lung static PET”, European Radiology, 33(4): 2676-2685, 2023.
28. Minghan Fu, MeiyunWang, 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 forshort-axis PET image quality enhancement”, IEEE Journal of Biomedical and HealthInformatics, 27(6): 2864-2875, 2023 (封面).
29. Minghan Fu, Yanhua Duan, ZhaopingCheng, WenjianQin, Ying Wang, Dong Liang, ZhanliHu*,“Total-body low-dose CT image denoising using a prior knowledge transfertechnique with a contrastive regularization mechanism”, Medical Physics, 50(5): 2971-2984, 2023.
30. Zixiang Chen, Zhaoping Cheng, Yanhua Duan, Qiyang Zhang, Na Zhang, Fengyun Gu, Ying Wang, YunZhou, Haining Wang, Dong Liang, Hairong Zheng, Zhanli Hu*,“Accurate total-body Ki parametric imaging with shortened dynamic F-FDGPET scan durations via effective data processing”, Medical Physics, 50(4): 2121-2134, 2023.
31. Zhi-Feng Pang, Meng-Xiao Geng, Lan Zhang, YanruZhou, Tieyong Zeng, Liyun Zheng, Na Zhang, Dong Liang, Hairong Zheng, YongmingDai, Zhenxing Huang*, ZhanliHu*,“Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MRimage segmentation”, Signal Processing,205: 108881, 2023.
32. Zixiang Chen, Yaping Wu, Na Zhang,Tao Sun, Yu Shen, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu*, “High temporal resolution total-bodydynamic PET imaging based on pixel-level time-activity curve correction”, IEEE Transactions on Biomedical Engineering,69(12): 3689-3702, 2022.
33. Zhenxing Huang, Zixiang Chen, Guotao Quan, YanfengDu, Yongfeng Yang, Xin Liu, Hairong Zheng, Dong Liang, Zhanli Hu*, “Deep cascade residual networks(DCRNs): optimizing an encoder-decoder convolutional neural network forlow-dose CT imaging”, IEEE Transactions on Radiation and PlasmaMedical Sciences, 6(8): 829-840, 2022.
34. Zhenxing Huang, Yaping Wu, FangfangFu, Nan Meng, Fengyun Gu, Qi Wu, Yun Zhou, Yongfeng Yang, Xin Liu, HairongZheng, Dong Liang, Meiyun Wang*, ZhanliHu*,“Parametric image generation with the uEXPLORER total-body PET/CT systemthrough deep learning”, EuropeanJournal of Nuclear Medicine and Molecular Imaging, 49(8): 2482-2492,2022.
35. Qingneng Li, XiaohuaZhu, Sijuan Zou, Na Zhang,Xin Liu, Yongfeng Yang, Hairong Zheng, Dong Liang, Zhanli Hu*, “Eliminating CT radiation forclinical PET examination using deep learning”, European Journal of Radiology, 154:110422, 2022.
36. Lipei Zhang, ZizhengXiao, Chao Zhou,Jianmin Yuan, Qiang He, Yongfeng Yang, Xin Liu, Dong Liang, Hairong Zheng, WeiFan, Xu Zhang*, ZhanliHu*,“Spatial adaptive and transformer fusion network (STFNet) for low-count PETblind denoising with MRI”, MedicalPhysics, 49(1): 343-356, 2022.
招生專業
081104-模式識別與智慧型系統
085400-電子信息
083100-生物醫學工程
招生方向
人工智慧醫學影像、醫學成像技術（PET/MR、PET/CT）、PET儀器研發、圖像重建、物理校正、圖像處理、影像組學、腦網路、代謝網路
