张煜

姓名：张煜

职称：教授（二级） 博士生导师

联系邮箱：yuzhang@smu.edu.cn

v 学习经历

2000.09－2003.06 第一军医大学，生物医学工程系，博士

1997.09－2000.07 第一军医大学，生物医学工程系，硕士

1992.09－1997.07 第一军医大学，生物医学工程系，本科

v 工作经历

2013.12至今      南方医科大学，生物医学工程学院，教授

2011.04－2012.04 北卡莱罗纳大学，放射系，博士后

2005.12－2013.12 南方医科大学，生物医学工程学院，副教授

2004.08－2005.12 南方医科大学，生物医学工程学院，讲师

2003.07－2004.08 第一军医大学，生物医学工程系，讲师

v 研究方向

生物医学工程、医学影像智能处理与分析

v 学术任职和获奖

广东省医学图像处理重点实验室 主任

广东省“特支计划”教学名师

广东省优秀教学成果二等奖 （1/7）

v 主要科研项目

1. 国家自然科学基金面上项目，2025年1月-2028年12月，主持

2. 国家自然科学基金区域联合基金重点项目，2023年1月-2026年12月，主持

3. 国家自然科学基金面上项目，2020年1月-2023年12月，主持

4. 国家自然科学基金面上项目，2017年1月-2020年12月，主持

5. 国家自然科学基金面上项目，2013年1月-2016年12月，主持

v 主要教学项目

1.广东省质量工程项目：面向新工科的生物医学工程专业人才培养模式改革与实践研究，主持，2018年12月-2021年12月

2.广东省质量工程项目：医工交叉复合型生物医学工程专项人才培养计划，主持，2024年1月-2026年12月

3.广东省一流本科课程：数字图像处理，主持，2022年10月

v 代表性论文

(1) Qing Xiao, Guiying Liu, Qianjin Feng, Yu Zhang*, Zhenyuan Ning*, Tensor Coupled Learning of Incomplete Longitudinal Features and Labels for Clinical Score Regression, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025, 47(1): 369-386.

(2) Zhenyuan Ning, Zhangxin Zhao, Qianjin Feng, Wufan Chen, Qing Xiao* and Yu Zhang*, Mutual-Assistance Learning for Standalone Mono-Modality Survival Analysis of Human Cancers, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 45(6):7577-7594.

(3) Zhong, T; Ning, Y; Wu, XY; Ye, L; Li, CC; Zhang, Y*; Du, Y*, TIPs: Tooth instance and pulp segmentation based on hierarchical extraction and fusion of anatomical priors from cone-beam CT, Artificial Intelligence In Medicine, 2025, 169:103247

(4) Yuan, XR; Cheng, JL; Zhao, FQ; Wu, ZW; Wang, L; Lin, WL; Zhang, Y*; Liu, RY*; Li, G*, Flexible Individualized Developmental Prediction of Infant Cortical Surface Maps via Intensive Triplet Autoencoder, IEEE Transactions on Medical Imaging, 2025, 44(7): 3100-3122

(5) Ning, ZY; Mao, YX; Xu, XT; Feng, QJ; Zhong, SZ; Zhang, Y*, DC-Net: Decomposing and coupling saliency map for lesion segmentation in ultrasound images, Engineering Applications Of Artificial Intelligence, 2025, 148: 110355

(6) Xu, HZ; Wang, J; Feng, QJ; Zhang, Y*; Ning, ZY*,Domain-specific information preservation for Alzheimer's disease diagnosis with incomplete multi-modality neuroimages, Medical Image Analysis, 2025, 101:103448

(7) Mao, YX; Feng, QJ; Zhang, Y*; Ning, ZY*, Semantics and instance interactive learning for labeling and segmentation of vertebrae in CT images, Medical Image Analysis, 2025,99:103380

(8) Zhong, SZ; Wang, WX; Feng, QJ; Zhang, Y*; Ning, ZY*, Cross-view discrepancy-dependency network for volumetric medical image segmentation, Medical Image Analysis, 2025, 99:103329

(9) Denghui Du, Qianjin Feng, Wufan Chen, Zhenyuan Ning*, Yu Zhang*, Mix-supervised multiset learning for cancer prognosis analysis with high-censoring survival data, Expert Systems With Applications,2024, 239 (2024): 122430

(10) Dong, XY; Yang, KF; Liu, JY; Tang, F; Liao, WJ; Zhang, Y*; Liang, SJ*, Cross-Domain Mutual-Assistance Learning Framework for Fully Automated Diagnosis of Primary Tumor in Nasopharyngeal Carcinoma, IEEE Transactions on Medical Imaging, 2024, 43(11): 3676-3689

(11) Zhong, T; Wang, Y; Xu, XT; Wu, XY; Liang, SJ; Ning, ZY; Wang, L; Niu, YY; Li, G*; Zhang, Y*, A brain subcortical segmentation tool based on anatomy attentional fusion network for developing macaques, Computerized Medical Imaging and Graphics, 2024,14:102404

(12) Zhong, T; Wu, XY; Liang, SJ; Ning, ZY; Wang, L; Niu, YY; Yang, SH; Kang, Z; Feng, QJ; Li, G*; Zhang, Y*, nBEST: Deep-learning-based non-human primates Brain Extraction and Segmentation Toolbox across ages, sites and species, Neuroimage, 2024, 295: 120652

(13) Tu, C; Du, DH; Zeng, TY; Zhang, Y*, Deep Multi-Dictionary Learning for Survival Prediction With Multi-Zoom Histopathological Whole Slide Images, IEEE-ACM Transactions On Computational Biology And Bioinformatics, 2024,21(1):14-25

(14) Xiao, Q; Xu, HZ; Chu, ZQ; Feng, QJ; Zhang, Y*, Margin-Maximized Norm-Mixed Representation Learning for Autism Spectrum Disorder Diagnosis With Multi-Level Flux Features, IEEE Transactions On Biomedical Engineering, 2024, 71(1): 183-194

(15) Z Ning#, S Zhong#, Q Feng, W Chen, Yu Zhang*. SMU-Net: Saliency-guided Morphology-aware U-Net for Breast Lesion Segmentation in Ultrasound Image. IEEE Transactions on Medical Imaging, 41(2): 476-490, 2022.

(16) 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, 34 (7), 3737-3750, 2023

(17) 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, 41(1): 186-198，2022.

(18) Z Ning, C Tu, X Di, Q Feng, Yu Zhang*. Deep Cross-view Co-regularized Representation Learning for Glioma Subtype Identification. Medical Image Analysis, 73: 102160 (1-12) , 2021.

(19) 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): 1632-1645.

(20) 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, 2020.9, 39 (9), 2794-2805.