
黄振兴 副研究员
中国科学院深圳先进技术研究院
电子邮件: zx.huang1@siat.ac.cn
通信地址: 深圳市南山区西丽深圳大学城学苑大道1068号
邮政编码:518055
课题组官方公众号:“AMIC Lab”
个人简介
黄振兴,博士,中国科学院深圳先进技术研究院副研究员,中科院广州分院青年人才、鹏城特聘人才、深圳市科技创新人才,主要研究方向为医学成像与分析。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【上海联影医疗科技股份有限公司】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。相关技术转化到高端医疗器械龙头企业,落地到国产PET/MR、PET/CT、CT系统和团队自研小动物和脑PET系统中,在超过10家三甲医院进行临床应用和技术推广,累计服务超过2万名临床患者的诊疗健康检查,产生良好的经济和社会效益。
近年来,在研究领域内累计已发表高水平论文80余篇,申请国内、国际发明专利20余项,已授权发明专利5项。担任View、IMed、BSA、SAB等领域内权威期刊科学编辑、青年编辑,荣获“日内瓦国际发明奖金奖(2024)、吴文俊人工智能科技奖励技术发明二等奖 (2023)、中国图象图形学学会技术发明二等奖 (2023)、中国科学院第二届率先杯未来技术创新大赛-决赛优胜奖 (2023)、中国体视学会优秀论文报告奖 (2022)、中国国际高新技术成果交易会-优秀产品奖 (2023/2022)、深圳市人工智能学会技术发明奖(2023)、深圳市优秀科技论文成果奖 (2022)”等。先后主持国自然科学基金面上/青年项目、中科院广州分院青年人才培育项目、中国博士后基金面上项目、广东省/深圳市自然科学基金面上项目和深圳市创新人才项目等,以核心成员身份参与科技部国际合作项目、国自然科学基金区域联合项目、广东省自然科学基金卓越青年团队项目、深圳市医学院基金原创探索项目等。
研究方向:医学成像、影像分析、图像处理、人工智能
课题组:AMIC Lab (微信公众号搜索"AMIC Lab")
个人学术网站:https://billyhzx.github.io/
谷歌学术主页:https://scholar.google.com/citations?user=dNBT6aEAAAAJ
ResearchGate主页:https://www.researchgate.net/profile/Zhenxing-Huang-2
招生信息
医学成像技术及其临床应用,医学影像分析和人工智能
PET/CT成像,PET/MR成像,人工智能,图像重建,参数成像,延迟成像,影像组学,影像统计分析,图像后处理(去噪/分割/配准/预测等)
热烈欢迎优秀硕士、博士、博士后、研究助理及客座访问学生加入课题组,感兴趣可直接联系:zx.huang1@siat.ac.cn
招生专业
招生方向
学术奖励
1. 2023 年吴文俊人工智能技术发明奖二等奖,2024/01
2. 2024 日内瓦国际发明金奖,2024/05
3. 2023 深圳市人工智能学会技术发明奖,2024/04
4. 2023年度中国图象图形学会(CSIG)技术发明二等奖,2023/12
5. 中国体视学十七届中国体视学与图像分析学术会议优秀报告奖, 2022/11
6. 中国科学院第二届“率先杯”未来技术创新大赛-决赛优胜奖,2022/09
7. 第二十四届中国国际高新技术成果交易会-优秀产品奖,2022/11
8. 第二十五届中国国际高新技术成果交易会-优秀产品奖,2023/11
9. 第二十六届中国国际高新技术成果交易会-优秀科研成果创新奖,2024-11
10. 深圳市科学技术协会第二届优秀论文成果-优秀论文,2022/12
主持/参与项目
主持科研项目:
1. 国家自然科学基金(面上项目), “面向全身慢性疾病的多器官同时定量成像与糖代谢网络分析”,2025/01-2028/12,在研;
2. 国家自然科学基金(青年基金), “神经退行性疾病的多模态影像重建技术及其应用研究”,2022/01-2024/12,在研;
3. 广东省自然科学基金(面上项目),"用于帕金森病早期诊断的PET/MR快速成像与智能分析",2025/01-2027/12,在研;
4. 中国科学院广州分院青年人才培优项目,"面向微小肿瘤的多模态PET成像新技术",2024/01-2025/12,在研;
5. 深圳市自然科学基金(面上项目),"基于多级扩散模型的PET/MR快速成像与PD智能诊断分析应用研究",2025/01-2027/12,在研;
6. 中国博士后面上项目,"基于一体化脑 PET/MR 的动态参数成像与神经影像学研究",2022/06-2023/04,结题;
7. 深圳市优秀科技创新人才博士启动项目,“基于多模态特征学习和最优传输理论的高分辨PET/MRI成像研究”,2022/04-2024/04,结题。
参与科研项目:
1. 国家自然科学基金(面上基金),“基于PET-MRI多模态影像的帕金森病左旋多巴疗效差异的脑机制及预测模型研究”,2022/01-2025/12,在研;
2. 深港澳科技计划(C类),“基于轻量适配大模型的多模态智能成像肺癌早期诊断和预后评估”,2024/01-2025/12,在研;
3. 国家自然科学基金(面上基金),“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”,2023/01-2026/12,在研;
4. 国家自然科学基金(区域联合基金),“一站式高场快速智能心脏磁共振成像方法研究”,2023/01-2026/12,在研;
5. 广东省粤企联合基金(面上项目),“基于DCE-MR乳腺癌血流动力学时-空一致性定量可视化研究”,2025/01-2027/12,在研;
6. 四川省区域创新合作项目,“68Ga-PSMA显像指导前列腺癌177Lu-PSMA治疗剂量学研究”,2022.01-2023.12,结题。
代表性期刊论文(近5年)
1. Wenbo Li#, Zhenxing Huang#(黄振兴), Hongyan Tang#, Yaping Wu, Yunlong Gao, Jing Qin, Jianmin Yuan, Yang Yang, Yan Zhang, Na Zhang, Hairong Zheng, Dong Liang, Meiyun Wang*, Zhanli Hu*, A generative whole-brain segmentation model for positron emission tomography images, EJNMMI Physics, 12(1): 15, 2025.
2. Wenbo Li#, Zhenxing Huang#(黄振兴), Qiyang Zhang#, Na Zhang, Wenjie Zhao, Yaping Wu, Jianmin Yuan, Yang Yang, Yan Zhang, Yongfeng Yang, Hairong Zheng, Dong Liang, Meiyun Wang*, Zhanli Hu*, Accurate whole-brain segmentation for bimodal PET/MR images via a cross-attention mechanism, EEE Transactions on Radiation and Plasma Medical Sciences, 9(1):47-56, 2025.
3. Qiyang Zhang, Zhenxing Huang(黄振兴), Yuxi Jin, Wenbo Li, Hairong Zheng, Dong Liang, Zhanli Hu*, Total-body PET/CT: A role of artificial intelligence?, Seminars in Nuclear Medicine, 55(1): 124-136, 2025.
4. Qianyi Yang#, Demin Xu#, Zhenxing Huang(黄振兴), Wenbo Li, Guanxun Cheng, Tianye Niu, Hairong Zheng, Dong Liang, Fei Feng*, Zhanli Hu*, Segmentation-based X-ray multiobjective quality assessment network, IEEE Transactions on Radiation and Plasma Medical Sciences, 9(2): 202-214, 2025.
5. Yi An#, Yuanyuan Lei#, Zhenxing Huang(黄振兴), Yu Liu, Meiyong Huang, Zhou Liu, Wenbo Li, Dong Liang, Wenting Huang*, Zhanli Hu*,MacNet: A mobile attention classification network combining convolutional neural network and transformer for the differentiation of cervical cancer, Quantitative Imaging in Medicine and Surgery, 15(1): 55-73, 2025.
6. Zhenxing Huang#(黄振兴), Wenbo Li#, Yaping Wu#, Lin Yang, Yun Dong, Yongfeng Yang, Hairong Zheng, Dong Liang, Meiyun Wang*, Zhanli Hu*, Accurate whole-brain image enhancement for low-dose integrated PET/MR imaging through spatial brain transformation, IEEE Journal of Biomedical and Health Informatics, 28(9): 5280-5289, 2024. 封面文章
7. Wenjie Zhao#, Zhenxing Huang#(黄振兴), Si Tang#, Wenbo Li, Yunlong Gao, Qianyi Yang, Yingying Hu, Wei Fan, Chuanli Cheng, Yongfeng Yang, Hairong Zheng, Dong Liang, Zhanli Hu*, MMCA-NET: A multimodal cross attraction transformer network for nasopharyngeal carcinoma tumor segmentation based on a total-body PET/CT system, IEEE Journal of Biomedical and Health Informatics, 28(9): 5447-5458, 2024.
8. Wenbo Li#, Zhenxing Huang#(黄振兴), Zixiang Chen, Chao Zhou, Xu Zhang, Wei Fan, Lulu Zhang, Hairong Zheng, Dong Liang, Zhanli Hu, Learning CT-free attenuation-corrected total-body PET images through deep learning, European Radiology, 34: 5578-5587, 2024.
9. Xiaohui Yao#, Yuan Zhu#, Zhenxing Huang#(黄振兴), 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, 14(8):2223-4306, 2024.
10. Minghan Fu#, Na Zhang#, Zhenxing Huang(黄振兴), Chao Zhou, Xu Zhang, Jianmin Yuan, Qiang He, Yongfeng Yang, Hairong Zheng, Dong Liang, Fang-Xiang Wu, Wei Fan, Zhanli Hu*, OIF-Net: An Optical Flow Registration based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising, IEEE Transaction on Medical Imaging, 43(4):1554-1567, 2024.
11. Qianyi Yang#, Wenbo Li#, Zhenxing Huang(黄振兴), Zixiang Chen, Wenjie Zhao, Yunlong Gao, Xinlan Yang, Yongfeng Yang, Hairong Zheng, Dong Liang, Jianjun Liu, Ruohua Chen*, Zhanli Hu*, Bidirectional dynamic frame prediction network for total-body 68Ga-PSMA-11 and 68Ga-FAPI-04 images, EJNMMI Physics, 11(1):92, 2024.
12. Huizhong Zheng#, Xinfeng Liu#, Zhenxing Huang(黄振兴), Yan Ren, Bin Fu, Tianliang Shi, Lu Liu, Qiping Guo, Chong Tian, Dong Liang, Rongpin Wang*, Jie Chen*, Zhanli Hu*, Deep Learning for Intracranial Aneurysm Segmentation Using CT Angiography, Physics in Medicine and Biology, 69: 155024, 2024.
13. Lin Yang#, Dan Shao#, Zhenxing Huang(黄振兴), Mengxiao Geng, Na Zhang, Long Chen, Xi Wang, Dong Liang, Zhi-Feng Pang*, Zhanli Hu*, Few-Shot Segmentation Framework for Lung Nodules via an Optimized Active Contour Model, Medical Physics, 51(4): 2788-2805, 2024.
14. Zhihua Li#, Yuxi Jin#, Qingneng Li#, Zhenxing Huang(黄振兴), Zixiang Chen, Chao Zhou, Na Zhang, Xu Zhang, Wei Fan, Jianmin Yuan, Qiang He, Weiguang Zhang, Dong Liang*, Zhanli Hu*, Medical Multi-Modal Image Transformation with Modality Code Awareness, IEEE Transactions on Radiation and Plasma Medical Sciences, 8(5):511-520, 2024.
15. Lin Yang#, Yuanyuan Lei#, Zhenxing Huang(黄振兴), Mengxiao Geng, Zhou Liu, Baijie Wang, Dehong Luo, Wenting Huang, Dong Liang, Zhifeng Pang*, Zhanli Hu*, An interactive nuclei segmentation framework with Voronoi diagrams and weighted convex difference for cervical cancer pathology images, Physics in Medicine and Biology, 69(2):025021, 2024.
16. Yuan Zhu#, Shan Cong#, Qiyang Zhang#, Zhenxing Huang(黄振兴), Xiaohui Yao, You Cheng, Dong Liang, Zhanli Hu*, Dan Shao*, Multimodal radiomics-based methods using deep learning for prediction of brain metastasis in non-small cell lung cancer with 18F-FDG PET/CT images, Biomedical Physics & Engineering Express, 10: 065011, 2024.
17. Junhui Huang#, Shangpo Yang#, Liyan Zou, Yingying Chen, Long Yang, Bingyu Yao, Zhenxing Huang(黄振兴), Yihong Zhong, Zhou Liu*, Na Zhang*, Quantitative pharmacokinetic parameter Ktrans map assists in regional segmentation of nasopharyngeal carcinoma in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), Biomedical Signal Processing and Control, 87: 105433, 2024.
18. Zixiang Chen, Yuxi Jin, Zhenxing Huang (黄振兴), Na Zhang, Kaiyi Liang, Guotao Quan, Dong Liang, Hairong Zheng, Zhanli Hu*, Building a Kinetic Induced Voxel-Clustering Filter (KVCF) for Low-Dose Perfusion CT Imaging, IEEE Transactions on Radiation and Plasma Medical Sciences, 8(7): 762-773, 2024.
19. Yafen Kang#, Zixiang Chen#, Zhuoyue Song, Yaping Wu, Zhenxing Huang (黄振兴), Yuxi Jin, Meiyun Wang, Zhanli Hu*, Yang Yu*, Accurate brain pharmacokinetic parametric imaging using the blood input function extracted from the cavernous sinus, American Journal of Nuclear Medicine and Molecular Imaging, 14(4): 272-281, 2024.
20. Zhenxing Huang#(黄振兴), 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 an uEXPLORER total-body PET system through deep learning, European Journal of Nuclear Medicine and Molecular Imaging, 51(1): 27-39, 2023.
21. Zhenxing Huang#(黄振兴), Wenbo Li#, Meng-xiao Geng, Zhou Liu, Qiyang Zhang, Yuxi Jin, Ruodai Wu, Guotao Quan, Dong Liang, Zhanli Hu, Na Zhang*, MLNAN: Multi-level Noise-aware Network for Low-dose CT Imaging Implemented with Constrained Cycle Wasserstein Generative Adversarial Networks, Artificial Intelligence In Medicine, 143:102609, 2023.
22. Zhi-Feng Pang, Meng-Xiao Geng, Lan Zhang, Yanru Zhou, Tieyong Zeng, Liyun Zheng, Na Zhang, Dong Liang, Hairong Zheng, Yongming Dai, Zhenxing Huang*(黄振兴), Zhanli Hu*, Adaptive weighted curvature-based active contour for ultrasonic and 3T/5T MR image segmentation, Signal Processing, 205: 108881, 2023.
23. Zhenxing Huang#(黄振兴), Han Liu#, Yaping Wu#, Wenbo Li, Jun Liu, Ruodai Wu, Jianmin Yuan, Qiang He, Zhe Wang, Ke Zhang, Dong Liang, Zhanli Hu, Meiyun Wang*, Na Zhang*, Automatic brain structure segmentation for 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance images via deep learning, Quantitative Imaging in Medicine and Surgery, 13(7): 4447-4462, 2023.
24. Wenbo Li#, Zhenxing Huang#(黄振兴), 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: e20230012, 2023. 封面文章
25. Haiyan Wang#, Yaping Wu#, Zhenxing Huang(黄振兴), 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: 2676–2685, 2023.
26. Zixiang Chen, Na Zhang, Qiyang Zhang, Kaiyi Liang, Zhenxing Huang (黄振兴), 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.
27. Zhenxing Huang#(黄振兴), Yaping Wu#, Fangfang Fu, Nan Meng, Fengyun Gu, Qi Wu, 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, 49:2482–2492, 2022.
28. Zhenxing Huang#(黄振兴), Zhou Liu#, Pin He, Ya Ren, Shuluan Li, Yuanyuan Lei, Dehong Luo, Dong Liang, Dan Shao, Zhanli Hu, Na Zhang*, Segmentation-guided Denoising Network for Low-dose CT Imaging, Computer Methods and Programs in Biomedicine, 227: 107199, 2022.
29. Zhenxing Huang(黄振兴), 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.
30. Zhenxing Huang#(黄振兴), 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. 封面文章
31. Zhenxing Huang#(黄振兴), 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.
32. Zhenxing Huang#(黄振兴), 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.
33. Zhenxing Huang (黄振兴), 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.
34. Haiyan Wang, Zhenxing Huang (黄振兴), Qiyang Zhang, Dongfang Gao, Zhanglei OuYang, Dong Liang, Xin Liu, Yongfeng Yang, Hairong Zheng, Zhanli Hu*, A preliminary study of dual‐tracer PET image reconstruction guided by FDG and/or MR kernels, Medical Physics, 48(9): 5259-5271, 2021.
35. Zixiang Chen, Dong Zeng, Zhenxing Huang (黄振兴), 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 & Biology, 66(4): 045012, 2021.