张娜，博士，中国科学院深圳先进技术研究院研究员，博士生导师、广东省杰出青年基金获得者、国家重点研发课题负责人、深圳市孔雀计划海外高层次人才、深圳市高层次专业人才。

研究方向为磁共振成像与智能分析，曾在美国心血管磁共振成像顶级实验室进修学习。

与国内多家三甲医院和国产高端医疗器械龙头企业建立了密切的科研合作关系，面向解决国产高端医疗产业和临床医学中的实际问题。实现了脑卒中斑块三维磁共振成像技术前沿科学突破、研发了全球首款脑卒中智能预警分析软件，并应用到国产磁共振设备实现了大规模产业落地，现已成为其高端临床应用的标配产品和市场竞争的亮点，实现全球销售，为脑血管病的早期精准诊断和规模化筛查发挥了重要作用。

研究成果获得“广东省科学技术奖”、“吴文俊人工智能奖”、“黄家驷生物医学工程奖”等；发表领域权威期刊论文100余篇，授权美国/中国发明专利30余项，并实现转移转化。

先后主持国自然专项项目、国家重点研发课题、广东省杰青项目、产业化项目等各级科研项目多项；同时作为核心骨干先后参与国家重大科研仪器研制项目、科技部数字诊疗装备研发项目、国自然重点项目等。

 

个人主页：https://people.ucas.edu.cn/~zhangn

谷歌学术：https://scholar.google.com/citations?hl=zh-CN&user=0ga30iIAAAAJ

实验室：https://medimaging.siat.ac.cn/

长期招聘医学成像技术及临床应用、医学图像处理、人工智能医学影像大数据方向的硕士、博士、博士后人才

感兴趣的同学可直接联系：na.zhang@siat.ac.cn 

083100-生物医学工程
081104-模式识别与智能系统
085400-电子信息

磁共振成像、PET/MR成像
医学图像处理、人工智能与医学图像大数据
PET/MR成像在脑血管病和肿瘤中的应用

2013-09--2018-06   中国科学院大学   博士研究生/工学博士
2006-09--2009-06   中南大学   硕士研究生/工学硕士
2002-09--2006-07   中南大学   本科/工学学士

1. Xiang Fan, Xiqian Zhang, Keyan Yu, Lele Chen, Zhuonan Wei, Gaigai Lu, Hui Chen, Lin Hu, Guanxun Cheng, Na Zhang. DTI-ALPS Mapping: A Novel Voxel-based Method for Analyzing the Glymphatic System in the Brain. Alzheimers & Dementia 2025 Dec 23;21(Suppl 8):e109947. doi: 10.1002/alz70862_109947

2. Hongmei Tang, Qianhao Chen, Qiyang Zhang, Zhaoting Cheng, Yang Wu, Shuang Song, Hairong Zheng, Dong Liang, Zhanli Hu, Xiaohua Zhu, Na Zhang*. Clinically Generalizable Low-Dose CT Denoising for Pediatric Imaging via Enhanced Diffusion Posterior Sampling. IEEE Journal of Biomedical and Health Informatics 2025 Dec 11:PP. doi: 10.1109/JBHI.2025.3642922.

3. Wenjing Xu, Xuetong Tao, Sen Jia, Greta S. P. Mok, Ke Zhang, Jing Qin, Ye Li, Xin Liu, Zhanli Hu, Dong Liang, Hairong Zheng, Na Zhang*. Super-Resolution Reconstruction of MR Vessel Wall Images Using a Deep Neural Network. Medical Physics 2025 Dec;52(12):e70157. doi: 10.1002/mp.70157.

4. Xuetong Tao, Shuai Shen, Long Yang, Kexin Chen, Hui Yang, Greta S. P. Mok, Lin Jia, Xin Liu, Dong Liang, Zhanli Hu, Hairong Zheng, Na Zhang*. Clinically Oriented Deep Learning Framework for Automated Vessel Wall Segmentation in Black-Blood MRI: A Multi-Center Study. European Radiology 2025 Nov 22. doi: 10.1007/s00330-025-12161-4.

5. Xuetong Tao, Zilong Guan, Jiaxiang Qu, Qian Sun, Yong Xiao, Zhan Li, Ning Ma, Xiaohua Lin, Guanghua Wen, Hairong Zheng, Dong Liang, Zhanli Hu*, Mengjie Dong*, Na Zhang*. Whole-Body 18F-FDG PET/CT Identifies Subclinical Metabolic Phenotypes in Normoglycemic Adults. European Journal of Nuclear Medicine and Molecular Imaging 2025 Sep 5;143(6):1477-1489. doi: 10.3171/2025.5.JNS243268. Print 2025 Dec 1.

6. Qian Li, Xuetong Tao, Xuanle Li, Xiqian Zhang, Heng Wang, Jing Qin, Jia Gu, Rongde Zhong, Na Zhang*. Non-Invasive Assessment of Glymphatic System Alterations as a Potential Biomarker for Predicting Overall Survival in Glioma. Journal of Neurosurgery 2025 Sep 5:1-13. doi: 10.3171/2025.5.JNS243268.

7. Long Yang, Xiong Yang, Zhenhuan Gong, Yufei Mao, Shanshan Lu, Chengcheng Zhu, Liwen Wan, Junhui Huang, Mohd Halim Mohd Noor, Ke Wu, Cheng Li, Guanxun Cheng, Ye Li, Dong Liang, Xin Liu, Hairong Zheng, Zhanli Hu, Na Zhang*. Deep Learning-Based Automatic Segmentation of Arterial Vessel Wall and Plaques in MR Vessel Wall Images for Quantitative Assessment. European Radiology 2025 Dec;35(12):7712-7726. doi: 10.1007/s00330-025-11697-9. Epub 2025 Jun 3.

8. Junhui Huang#, Yongsheng Ao#, Lan Mu, Jierui Zhao, Hongliang Chen, Long Yang, Bingyu Yao, Shuheng Zhang, Shimin Yang, Greta S.P. Mok, Ke Zhang, Zhanli Hu, Ye Li, Dong Liang, Xin Liu, Hairong Zheng, Lihua Qiu*, Na Zhang*. Feasibility of ultrafast DCE-MRI for identifying benign and malignant breast lesions. Computerized Medical Imaging and Graphics 2025 Jul:123:102561. doi: 10.1016/j.compmedimag.2025.102561. Epub 2025 Apr 25.

9. Jingfei Li, Mu Du, Yubao Liu, Daohui Zeng, Long Yang, Xuanle Li, Greta S. P. Mok, Ke Zhang, Jing Qin, Xin Liu, Dong Liang, Zhanli Hu, Hairong Zheng, Bo Yuan*, Na Zhang*. Acquisition of Ktrans perfusion parameter maps from DCE-MRI in breast cancer using a deep learning approach. Quantitative Imaging in Medicine and Surgery 2025

10. Xiqian Zhang#, Wanqing Sun#, Hui Zhang#, Long Yang, Xiong Yang, Yufei Mao, Chengcheng Zhu, Zhang Shi, Jia Gu, Juan Pan, Guanxun Cheng, Xin Liu, Fei Feng*, Na Zhang*. Deep Learning-Based Key Point Detection Algorithm Assisting Vessel Centerline Extraction. Quantitative Imaging in Medicine and Surgery 2025 May 1;15(5):4515-4526. doi: 10.21037/qims-24-1949. Epub 2025 Apr 16.

11. Binze Han#, Qian Yang#, Xuetong Tao, Meini Wu, Long Yang, Wenming Deng, Wei Cui, Dehong Luo, Qian Wan, Zhou Liu*, Na Zhang*. Spatial-Temporal Information Fusion for Thyroid Nodule Segmentation in Dynamic Contrast-Enhanced MRI: A Novel Approach. Journal of Imaging Informatics in Medicine 2025 Mar 4. doi: 10.1007/s10278-025-01463-0. Online ahead of print.

12. Zhou Liu#, Long Yang#, Jiuping Liang, Binbin Wen , Zikun He, Yongsheng Xie , Honghong Luo, Qian Yang , Lijian Liu , Dehong Luo , Li Li*, Na Zhang*. Radiomic features add incremental benefit to conventional radiological feature-based differential diagnosis of lung nodules. European Radiology 2025 Jun;35(6):2968-2978. doi: 10.1007/s00330-024-11221-5. Epub 2024 Nov 27.

13. Yikang Li, Yulong Qi, Zhanli Hu, Ke Zhang, Sen Jia, Lei Zhang, Wenjing Xu, Shuai Shen, Yixiang Wang, 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 Surgery 2024;14(2):2008-2020.

14. 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 Imaging 2024; 43(4): 1554-1567.

15. 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 Control 2024; 87:105433.

16. 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 Radiology 2024 Jan;34(1):182-192.

已指导学生

冷清谱  硕士研究生  085210-控制工程  

现指导学生

王国帅  硕士研究生  085400-电子信息  

梁港林  硕士研究生  085400-电子信息  

黄正勇  硕士研究生  085400-电子信息  

张茜倩  硕士研究生  083100-生物医学工程  

赵栋楠  硕士研究生  085400-电子信息