南方医科大学教师信息

关闭

1. 个人简介
2. 研究领域
3. 发表论文

更新日期：2021年10月12日

姓名	张煜	性别	男
民族	汉族	导师层次	博士导师
技术职称	教授	导师类型	学术型
最后学历	博士研究生毕业	最后学位	无学位
行政职务	副院长	Email	yuzhang@smu.edu.cn
工作单位	南方医科大学生物医学工程学院	邮政编码	510515

个人简介

教授，博士生导师。2003 年6 月博士毕业于第一军医大学医学图像处理重点实验室，2008 年10 月至2009 年4 月在日本秋田县立大学做流动研究员，2011 年4 月至2012 年4 月，在美国北卡罗莱纳大学放射系研究访问。一直从事医学图像处理与分析相关研究工作，在该领域已经发表论文几十篇，积累了丰富的工作经验，对医学图像建模与仿真、图像引导放射治疗、医学图像分割、深度学习、医学图像分类等方面进行了较深入的研究。近年曾主持国家自然科学基金（31271067，61671230，61971213）3 项，广东省自然科学基金1项，广东省科技攻关1项，广州市科技计划2 项。参加国家973 计划（2010CB732500）等项目，研究结果发表在IEEE Transactions on Medical Imaging，IEEEJournal of Biomedical and Health Informatics，Medical Physics，Physics in Medicine and Biology 等领域内前沿学术期刊。

研究领域

生物医学工程、医学影像智能处理与分析

个人成果

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, 31(11):1993-2005.
Zhenyuan Ning; Zehui Lin; Qing Xiao; Denghui Du; Qianjin Feng; Wufan Chen; Yu Zhang^*; Multi-Constraint Latent Representation Learning for Prognosis Analysis Using Multi-Modal Data, IEEE Transactions on Neural Networks and Learning Systems, 2021, DOI: 10.1109/TNNLS.2021.3112194.
Zhenyuan Ning^#; Shengzhou Zhong^#; Qianjin Feng; Wufan Chen; Yu Zhang^*; SMU-Net: Saliency-guided Morphology-aware U-Net for Breast Lesion Segmentation in Ultrasound Image, IEEE Transactions on Medical Imaging, 2021, DOI: 10.1109/TMI.2021.3116087.
Zhenyuan Ning^#; Denghui Du^#; Chao Tu; Qianjin Feng; Yu Zhang^*; Relation-aware Shared Representation Learning for Cancer Prognosis Analysis with Auxiliary Clinical Variables and Incomplete Multi-modality Data, IEEE Transactions on Medical Imaging, 2021, DOI: 10.1109/TMI.2021.3108802.
Zhenyuan Ning; Chao Tu; Xiaohui Di; Qianjin Feng; Yu Zhang^*; Deep cross-view co-regularized representation learning for glioma subtype identification, Medical Image Analysis, 2021, 73:102160.
Zhenyuan Ning^#; Qing Xiao^#; Qianjin Feng; Wufan Chen; Yu Zhang^*; Relation-Induced Multi-Modal Shared Representation Learning for Alzheimer’s Disease Diagnosis, IEEE Transactions on Medical Imaging, 2021, 40(6):1630-1645.
Tao Zhong; Fenqiang Zhao; Yuchen Pei; Zhenyuan Ning; Lufan Liao; Zhengwang Wu; Yuyu Niu; Li Wang; Dinggang Shen; Yu Zhang^*; Gang Li^*; DIKA-Nets: Domain-invariant knowledge-guided attention networks for brain skull stripping of early developing macaques, Neuroimage, 2021, 227:117649.
Ke Wang; Shujun Liang; Shengzhou Zhong; Qianjin Feng; Zhenyuan Ning^*; Yu Zhang^*; Breast ultrasound image segmentation: A coarse-to-fine fusion convolutional neural network, Medical Physics, 2021, 48(8):4262-4278.
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, 39(9): 2794-2805.
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, 36(9):2888–2895.
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, 2020, 30(2): 823-832.