唐晓颖

副教授 电子与电气工程系

唐晓颖,约翰霍普金斯大学博士,南方科技大学电子与电气工程系长聘副教授、研究员,约翰霍普金斯大学及卡内基梅隆大学客座教授。国自然优秀青年基金获得者;广东省杰出青年基金获得者;深圳市优秀青年基金获得者;深圳市海外高层次引进人才(B类)。“十四五”科技部重点研发计划青年科学家项目、“十三五”科技部重点研发计划课题、国家自然科学基金面上项目等10余项科研项目负责人;Neural Networks、IEEE Transactions on Cognitive and Developmental Systems期刊副编辑;国际会议 MICCAI领域主席、分会场主席、大会本地主席;领域顶级国际会议IEEE ISBI、IEEE EMBC领域主席、分会场主席;模式识别领域顶级国际会议ICPR领域主席;美国电气与电子工程师协会(IEEE)、中国生物医学工程学会等高级会员;IEEE EMBS Shenzhen Chapter学会秘书长。

个人简介

研究领域

医学图像分割与配准, 弥散张量图像分析, 统计形态分析, 流形学习与聚类, 时空分析, 多模态磁共振图像分析, 模式识别, 机器学习,医学大数据


学术成果 查看更多

代表文章

1. L. Lin, L. Peng, H. He, P. Cheng, J. Wu, K. K. Y. Wong, and X. Tang*, “YoloCurvSeg: You Only Label One Noisy Skeleton for Vessel-style Curvilinear Structure Segmentation”, Medical Image Analysis, 90: 102937, 2023.(通讯作者)

2. Z. Wang, J. Lyu, and X. Tang*, “autoSMIM: Automatic Superpixel-based Masked Image Modeling for Skin Lesion Segmentation”, IEEE Transactions on Medical Imaging, 42(12): 3501-3511, 2023. (通讯作者)

3. P. Cheng, L. Lin, J. Lyu, Y. Huang, W. Luo, and X. Tang*, “PRIOR: Prototype Representation Joint Learning from Medical Images and Reports”, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), Paris, August 2023. (通讯作者, EI, CCF A)

4. X. Liu, X. Wang, Y. Luo, M. Wang, Z. Chen, X. Han, S. Zhou, J. Wang, J. Kong, X. Wang, X. Tang*, and Q. Guo*, “A 3D Tumor-mimicking in Vitro Drug Release Model of Locoregional Chemoembolization Using Deep Learning-based Quantitative Analyses”, Advanced Science, 10(11): 2206195, 2023.(共同通讯作者)

5. J. Lyu, Y. Zhang, Y. Huang, L. Lin, P. Cheng, and X. Tang*, “AADG: Automatic Augmentation for Domain Generalization on Retinal Image Segmentation”, IEEE Transactions on Medical Imaging, 41(12): 3699-3711, 2022.(通讯作者)

6. J. Wu and X. Tang*, “Brain Segmentation Based on Multi-atlas and Diffeomorphism Guided 3D Fully Convolutional Network Ensembles”, Pattern Recognition, 115: 107904, 2021.(通讯作者)

7. Y. Zhang, P. Zhong, D. Jie, J. Wu, S. Zeng, J. Chu, Y. Liu, E.X. Wu, and X. Tang*, “Brain Tumor Segmentation from Multi-modal MR Images via Ensembling UNets”, Frontiers in Radiology, 1: 704888, 2021.(通讯作者)

8. Y. Zhang, J. Wu, Y. Liu, Y. Chen, E.X. Wu, and X. Tang*, “MI-UNet: Multi-Inputs UNet Incorporating Brain Parcellation for Stroke Lesion Segmentation from T1-weighted Magnetic Resonance Images”, IEEE Journal of Biomedical and Health Informatics, 25(2): 526-535, 2021.(通讯作者)

9. L. Zou, Y. Song, X. Zhou, J. Chu*, and X. Tang*, “Regional Morphometric Abnormalities and Clinical Relevance in Wilson’s Disease”, Movement Disorders, 34(4): 545-554, 2019. (共同通讯作者)

10. X. Tang*, C.A. Ross, H. Johnson, J.S. Paulsen, L. Younes, R.L. Albin, J.T. Ratnanather, and M.I. Miller, “Regional Subcortical Shape Analysis in Premanifest Huntington’s Disease”, Human Brain Mapping, 40(5): 1419-1433, 2019. (第一作者,通讯作者)

 

代表著作与论文

1.H. Yang, J. Lyu, R. Tam, and X. Tang*, “A Survey on Deep Learning-based Diffeomorphic Mapping”. In: K. Chen, C.B. Schönlieb, X.C. Tai, L. Younes, Eds. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging. Springer, Cham, 2023.

2.M.I. Miller, S. Mori, X. Tang, D. Tward, and Y. Zhang, “Bayesian Multiple Atlas Deformable Templates”. In: A.W. Toga, Eds. Brain Mapping: An Encyclopedic Reference, Elsevier, Academic Press, 2015.

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