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张煜

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姓名:张煜

职称:教授

联系邮箱:yuzhang@smu.edu.cn



学习经历(学士、硕士、博士):

1997/9 - 2003/6,第一军医大学,生物医学工程,硕士、博士

1992/9 - 1997/7,第一军医大学,生物医学工程,学士


工作经历:

2004/8 - 2013/12,南方医科大学,生物医学工程学院,讲师、副教授、教授

2003/07 - 2004/08,第一军医大学,生物医学工程系,讲师

2011/04 - 2012/04,美国北卡莱罗纳大学,放射系,博士后


主要研究领域:

生物医学工程、医学影像智能处理与分析。



学术任职:

广东省生物医学工程专业教指委秘书长,广东省计算机协会理事,广东省医院信息专业委员会常务委员。



主要科研项目:

1. 国家自然科学基金面上项目,61971213,基于多维度特征的乳腺癌超声图像辅助诊断关键技术研究,主持

2. 国家自然科学基金面上项目,61671230,肺4D-CT时空高分辨率图像构建关键技术研究,主持

3. 国家自然科学基金面上项目,31271067,面向肺肿瘤精确放射治疗的肺4D-CT图像超分辨率重建研究,主持




代表性论文:

(1)Shujun Liang#, Kim-Han Thung, Dong Nie, Yu Zhang*, Dinggang Shen*, Multi-view Spatial Aggregation Framework for Joint Localization and Segmentation of Organs at risk in Head and Neck CT Images, IEEE Transactions on Medical Imaging, 2020, 10.1109/TMI.2020.2975853.

(2)Yu Zhang#, Guorong Wu, Pew-Thian Yap, Qianjin Feng, Jun Lian, Wufan Chen*, Dinggang Shen*, Hierarchical Patch-Based Sparse Representation-A New Approach for Resolution Enhancement of 4D-CT Lung Data, IEEE Transactions on Medical Imaging, 2012.11, 31(11): 1993-2005.

(3)Zhenyuan Ning#, Weihao Pan#, Yuting Chen, Qing Xiao, Xinsen Zhang, Jiaxiu Luo, Jian Wang*, Yu Zhang*, Integrative analysis of cross-modal features for the prognosis prediction of clear cell renal cell carcinoma, Bioinformatics, 2020.1 ,10.1093/bioinformatics/btaa056.

(4)Zhenyuan Ning#, Jiaxiu Luo, Yong Li, Shuai Han, Qianjin Feng, Yikai Xu, Wufan Chen, Tao Chen* , Yu Zhang*, Pattern Classification for Gastrointestinal Stromal Tumors by Integration of Radiomics and Deep Convolutional Features, IEEE Journal of Biomedical and Health Informatics, 2019.5, 23 (3): 1181~1191, DOI 10.1109/JBHI.2018.2841992.

(5)Yanna Liu#, Zhenyuan Ning#, Necati Örmeci#,, Shenghong Ju*, Yu Zhang*, Xiaolong Qi*, Deep convolutional neural network-aided detection of Portal Hypertension in Patients With Cirrhosis, Clinical Gastroenterology and Hepatology, 2020,18: 2998-3007.

(6)Fan Tang#, Shujun Liang#, Tao Zhong, Xia Huang, Xiaogang Deng, Yu Zhang*, Linghong Zhou*, Postoperative glioma segmentation in CT image using deep feature fusion model guided by multi-sequence MRIs, European Radiology, 2019.10, 30(2):823~832.

(7)Tao Zhong#, Huang Xia, Tang Fan, Liang Shujun, Deng Xiaogang, Yu Zhang*, Boosting-based cascaded convolutional neural networks for the segmentation of CT organs-at-risk in nasopharyngeal carcinoma, Medical Physics, 2019.10.10, 46(12)560201~560210.

(8)Shujun Liang#, Fan Tang, Xia Huang, Kaifan Yang, Tao Zhong, Runyue Hu, Shangqing Liu, Xinrui Yuan, Yu Zhang*, Deep-learning-based detection and segmentation of organs at risk in nasopharyngeal carcinoma computed tomographic images for radiotherapy planning, European Radiology, 2019.5, 2019(29), 1961~1967, 10.1007/ s00330-018-5748-9.

(9)Jiaxiu Luo#, Zhenyuan Ning, Shuixing Zhang, Qianjin Feng , Yu Zhang*, Bag of deep features for preoperative prediction of sentinel lymph node metastasis in breast cancer, Physics in Medicine & Biology, 2018.12, 63(2018): 245014-1~245014-11. (IF 3.03)

(10)Shiting Fang#, Huafeng Wang, Yueliang Liu, Minghui Zhang, Wei Yang, Qianjin Feng, Wufan Chen, Yu Zhang*, Super-resolution reconstruction of 4D-CT lung data via patch-based low-rank matrix reconstruction, Physics in Medicine & Biology, 2017.10, 62(20): 7925-7937.



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