·国际影响力
Na Zhang.Three Dimensional Intra- and Extra-cranial Arterial Vessel Wall Joint Imaging in Patients with ischemic stroke. Joint Annual Meeting ISMRM-ESMRMB 2018, 16-21 June 2018, Paris, France,oral presentation,p.377.《ISMRM MagnaCum LaudeAward》
Na Zhang. Whole-Brain Vessel Wall MR Imaging Using Inversion- Recovery Prepared SPACE: Reproducibility and Accuracy of Intracranial Artery Morphology. ISMRM 25thAnnual Meeting, 22-27 April 2017, Hawaii, USA,oral power pitch presentation,p.333.
·所获荣誉
1.2023年粤港澳大湾区高价值专利培育布局大赛金奖“脑卒中斑块成像及智能分析”（排名第1/6）
2.第25届中国国际高新技术成果交易会优秀产品奖“脑血管斑块一站式智能分析系统”（中国科学院深圳先进技术研究院，张娜，2023）
3.2023年吴文俊人工智能技术发明二等奖“高端医疗装备智能成像关键技术及应用”（排名第3/5）
4.2023年中国图象图形学学会技术发明二等奖“多模态医疗装备关键成像技术及应用”（排名第3/5）
5.2023年北京市科技进步一等奖“脑血管高危斑块及血栓磁共振精确定量检测关键技术与推广应用”（排名第5/10）
6.2022年新疆自治区科技进步一等奖“基于高分辨磁共振管壁成像的缺血性卒中病因学研究”（排名第3/6）
7.2020年度国际医学磁共振summa cum laude奖
8.2019年度国际医学磁共振E.K.Zavoisky奖
9.2018年度国际医学磁共振magnacum laude奖
10.2018年中国电子学会科技进步一等奖“脑血管磁共振计算成像技术及应用”（排名第8/13）
·科研成果
在研项目情况：
l国家重点研发计划课题“多核素磁共振成像设备研发及多模态定量成像方法研究”（2023YFC3402802），2023.12-2028.11，323.6万（主持）
l广东省自然科学基金（卓越青年团队项目）“基于数据模型双驱动的PET/MR成像新技术研发”（2024B1515040018），2024.1-2027.12，300万，（团队核心成员）
l科技部中央引导地方科技专项“新疆地区缺血性脑卒中风险筛查及多模态影像人工智能研究服务平台建设”（ZYYD2023D02），2023.1-2024.12，300万（合作方负责人）
l广东省自然科学基金（杰出青年项目）“高时空分辨PET/MR定量成像方法研究”(2023B1515020002)，2023.1-2026.12，100万（主持）
·近三年代表性文章：
1.Yikang Li, Yulong Qi, Zhanli Hu, Yixiang Wang, Shuai Shen, Sen Jia, LeiZhang,Wenjing Xu, Zongyang Li, Dong Liang, Xin Liu, Hairong Zheng, Guanxun Cheng,Na Zhang*. A novel automatic segmentation method directly based on MRI K-space data for auxiliary diagnosis of glioma.Quantitative Imaging in Medicine and Surgery2024;14(2):2008-2020.
2.Minghan Fu#,Na Zhang#, Zhenxing Huang, 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 Transactions on Medical Imaging2023 Dec 14. doi: 10.1109/TMI.2023.3342809.
3.Junhui Huang, Shangpo Yang, Liyan Zou, Yingying Chen, Long Yang, Bingyu Yao, Zhenxing Huang, 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 Control2024; 87:105433.
4.Zhou Liu#, Bingyu Yao#, Jie Wen, Meng Wang, Ya Ren, Yumin Chen, Dong Liang, Xin Liu, Hairong Zheng, Dehong Luo*,Na Zhang*.Voxelwise mapping of DCE-MRI time-intensity-curve profiles enables visualizing and quantifying hemodynamic heterogeneity in breast lesions.European Radiology2024 Jan;34(1):182-192.
5.Zhenxing Huang#, Wenbo Li#, Yunling Wang, 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 Medicine2023; 143:102609.
6.Zhenxing Huang#, 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-FDG PET/MR images via deep learning.Quantitative Imaging in Medicine and Surgery2023; 13(7):4447-4462.
7.MuDu, Da Zou, Peng Gao, Zhongxian Yang, Yanzhen Hou, Liyun Zheng,Na Zhang*, Yubao Liu*.Evaluation of a continuous-time random-walk diffusion model for the differentiation of malignant and benign breast lesions and its association with Ki-67 expression.NMR in Biomedicine2023 Aug;36(8):e4920.
8.Zhou Liu#, Fuliang Lin#, Junhui Huang, Xia Wu, Jie Wen, Meng Wang, Ya Ren, Xiaoer Wei, Xinyu Song, Jing Qin, Elaine Yuen-Phin Lee, Dan Shao, Yixiang Wang, Xiaoguang Cheng, Zhanli Hu, Dehong Luo,Na Zhang*. A classifier-combined method for grading breast cancer based on Dempster-Shafer evidence theory.Quantitative Imaging in Medicine and Surgery2023 May 1;13(5):3288-3297.
9.Hao Shen#, Pin He#, Ya Ren, Zhengyong Huang, Shuluan Li, Guoshuai Wang, Minghua Cong, Dehong Luo, Dan Shao, Elaine Yuen-Phin Lee, Ruixue Cui, Li Huo, Jing Qin, Jun Liu, Zhanli Hu, Zhou Liu*,Na Zhang*.A deep learning model based on the attention mechanism for automatic segmentation of abdominal muscle and fat for body composition assessment.Quantitative Imaging in Medicine and Surgery2023 Mar 1;13(3):1384-1398.
10.Zhenghui Xiao#, Haihua Cai#, Yue Wang, Ruixue Cui, Li Huo, Elaine Yuen-Phin Lee, Ying Liang, Xiaomeng Li, Zhanli Hu, Long Chen*,Na Zhang*. Deep learning for predicting epidermal growth factor receptor mutations of non-small cell lung cancer on PET/CT images.Quantitative Imaging in Medicine and Surgery2023 Mar 1;13(3):1286-1299.
11.Zhenxing Huang#, 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 Biomedicine2022; 227:107199.
12.Hanyu Sun#, Yongluo Jiang#, Jianmin Yuan, Haining Wang, Dong Liang, Wei Fan, Zhanli Hu,Na Zhang*. High-quality PET image synthesis from ultra-low-dose PET/MRI using bi-task deep learning.Quantitative Imaging in Medicine and Surgery2022;12(12):5326-5342.
13.Liwen Wan#, Haoxiang Li#, Lei Zhang, Shi Su, Cheng Wang, Baochang Zhang, Dong Liang, Hairong Zheng,Xin Liu*,Na Zhang*. Automated Morphologic Analysis of Intracranial and Extracranial Arteries Using Convolutional Neural Networks.British Journal of Radiology2022Aug 26; 20210031.
14.Wenjing Xu#, Xiong Yang#, Yikang Li, Guihua Jiang, Sen Jia, Zhenhuan Gong, Yufei Mao, Shuheng Zhang, Yanqun Teng, Jiayu Zhu, Qiang He, Liwen Wan, Dong Liang, Ye Li, Zhanli Hu, Hairong Zheng, Xin Liu,Na Zhang*. Deep Learning based Automated Detection of Arterial Vessel Wall and Plaque on MR Vessel Wall Images.Frontiers in Neuroscience2022 Jun 1;16:888814.
15.Na Zhang, Xinfeng Liu, Jiayu Xiao, Shlee S Song, Zhaoyang Fan. Plaque Morphologic Quantification Reliability of 3D Whole-Brain Vessel Wall Imaging in Patients with Intracranial Atherosclerotic Disease: A Comparison with Conventional 3D Targeted Vessel Wall Imaging.Journal of Magnetic Resonance Imaging2021 Jul; 54(1):166-174.
16.Na Zhang, Jinhao Lyu, Lijie Ren, Lei Zhang, Zhangyan Fan, Liwen Wan, Ye Li, Dong Liang, Hairong Zheng, Xin Liu. Arterial Culprit Plaque Characteristics Revealed by Magnetic Resonance Vessel Wall Imaging in Patients with Single or Multiple Infarcts.Magnetic Resonance Imaging2021; 84:12-17.
17.Juan Gao, Qiegen Liu, Chao Zhou, Weiguang Zhang, Qian Wan, Chenxi Hu, Zheng Gu, Dong Liang, Xin Liu, Yongfeng Yang, Hairong Zheng, Zhanli Hu,Na Zhang*. An improved patch-based regularization method for PET image reconstruction.Quantitative Imaging in Medicine and Surgery2021; 11(2):556-570.
18.Tingting Zhu, Lijie Ren, Lei Zhang, Yinghui Shao, Liwen Wan, Ye Li, Dong Liang, Hairong Zheng, Xin Liu,Na Zhang*. Comparison of plaque characteristics of small and large subcortical infarctions in the middle cerebral artery territory using high-resolution magnetic resonance vessel wall imaging.Quantitative Imaging in Medicine and Surgery2021; 11(1):57-66.
19.Lin Jia#, Xia Wu#, Qian Wan, Liwen Wan, Wenxiao Jia*,Na Zhang*. Effects of Artery Input Function on Dynamic Contrast-Enhanced MRI for determining Grades of Gliomas.British Journal of Radiology2021; 94(1119):20200699.
20.Yingjie Xu, Zhijian Li, Xu Zhang, Wei Fan, Chao Zhou, Dashun Que, Jianmin Yuan, Qiang He, Dong Liang, Xin Liu, Hairong Zheng, Zhanli Hu,Na Zhang*.Low-dose PET image denoising based on coupled dictionary learning.Nuclear Instruments and Methods in Physics Research A.2021; 1020:165908
·成果转化情况：
1.郑海荣、刘新、张娜、张磊、贾琳、贾文霄、邹超、梁栋、万丽雯、赵世华，磁共振血管壁成像方法、装置、设备及存储介质，发明专利，申请日期：2018-07-23，申请号：201810813453.4，授权日期：2020-06-12，专利号：ZL201810813453.4（已转让上海联影公司，转让金额68.43万元）
2.郑海荣、刘新、张娜、张磊、贾琳、贾文霄、邹超、梁栋、万丽雯、赵世华，血管壁成像中脑脊液信号的抑制方法、装置、设备及介质，发明专利，申请日期：2018-07-23，申请号：201810813443.0，授权日期：2020-05-22，专利号：ZL201810813443.0（已转让上海联影公司，转让金额72.87万元）
