唐晓颖 - 南方科技大学 - 电子与电气工程系

个人简介

教育经历 2009-2014 约翰霍普金斯大学 (美国) 博士电气与计算机工程系 2013-2014 约翰霍普金斯大学 (美国) 硕士应用数学与统计系 2009-2011 约翰霍普金斯大学 (美国) 硕士电气与计算机工程系 2005-2009 华中科技大学学士控制科学与工程系 2006-2009 华中科技大学学士外国语学院工作经历 2018/05 – 至今助理教授、副研究员, 电子与电气工程系, 南方科技大学 2016/02 – 至今客座助理教授, 电气与计算机工程系, 卡内基梅隆大学 (美国) 2015/05 – 至今客座助理教授, 电气与计算机工程系, 约翰霍普金斯大学 (美国) 2015/05 – 2018/05 副教授, 电子与信息工程学院, 中山大学 2015/05 – 2018/05 助理教授，中山大学卡内基梅隆大学联合工程学院，中山大学 2015/05 – 2018/05 助理教授，广东顺德中山大学卡内基梅隆大学国际联合研究院 2015/05 – 2016/08 访问教授，电气与计算机工程系, 卡内基梅隆大学 (美国) 2014/05 – 2015/05 博士后研究员，图像科学中心，约翰霍普金斯大学(美国)

研究领域

主要为对医学图像的智能量化分析，主要应用为大脑的多模态磁共振图像分析以及眼科多模态图像分析，以及基于人工智能的大脑疾病和眼科疾病的早期诊断和预测。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

近期论文

查看导师最新文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

X. Tang*, N. Chen, S. Zhang, B. Zhang, J. Li, P. Liu, and H. Liu*, “Predicting Auditory Feedback Control of Speech Production From Subregional Shape of Subcortical Structures”, Human Brain Mapping, 39: 459-471, 2018. (共同通讯作者). J. Li, Y. Gong, and X. Tang* , “Hierarchical subcortical sub-regional shape network analysis in Alzheimer’s disease”, Neuroscience, 366: 70-83, 2017. (通讯作者). X. Tang*, M.I. Miller, and L. Younes, “Biomarker changepoint estimation with right censoring in longitudinal studies”, the Annals of Applied Statistics, 11: 1738-1762, 2017. (通讯作者). X. Tang*, Y. Qin, W. Zhu, and M.I. Miller, “Surface-based vertexwise analysis of morphometry and microstructural integrity for white matter tracts in diffusion tensor imaging: with application to the corpus callosum in Alzheimer's disease”, Human Brain Mapping, 38: 1875-1893, 2017. (通讯作者). L. Gui, X. Tang*, and J. M.F. Moura, “Geodesic distance on a Grassmannian for monitoring the progression of Alzheimer’s disease”, NeuroImage, 146: 1016-1024, 2017. (通讯作者). X. Tang*, V. Varma, M.I. Miller, and M.C. Carlson*, “Education is associated with sub-regions of the hippocampus and the amygdala vulnerable to neuropathologies of Alzheimer’s disease”, Brain Structure and Function, 222: 1469-1479, 2017. (共同通讯作者). V. Varma#, X. Tang#, and M.C. Carlson, “Hippocampal sub-regional shape and physical activity in older adults”, Hippocampus, 26: 1051 – 1060, 2016. (共同第一作者). X. Tang*, D. Holland, A.M. Dale, M.I. Miller, and ADNI, “APOE affects the volume and shape of the amygdala and the hippocampus in mild cognitive impairment and Alzheimer’s disease: age matters”, Journal of Alzheimer’s Disease, 47: 645 – 660, 2015. (通讯作者). X. Tang, D. Crocetti, K. Kutten, C. Ceritoglu, M. Albert, S. Mori, S. Mostofsky, and M.I. Miller, “Segmentation of brain magnetic resonance images based on multi-atlas likelihood fusion: testing using data with a broad range of anatomical and photometric profiles”, Frontiers in Neuroscience, 9:61, 2015. X. Tang*, D. Holland, A.M. Dale, L. Younes, and M.I. Miller, “The diffeomorphometry of regional shape change rates in mild cognitive impairment and Alzheimer’s disease”, Human Brain Mapping, 36(6): 2093 – 2117, 2015. (通讯作者). X. Tang*, D. Holland, A.M. Dale, L. Younes, and M.I. Miller, “Baseline shape diffeomorphometry patterns of subcortical and ventricular structures in predicting conversion of mild cognitive impairment to Alzheimer’s disease”, Journal of Alzheimer's Disease,44: 599 – 611, 2015. (通讯作者). A. Djamanakova, X. Tang, X. Li, A.V. Faria, C. Ceritoglu, K. Oishi, A.E. Hillis, M. Albert, C. Lyketsos, M.I. Miller, and S. Mori, “Tools for Multiple Granularity Analysis of Brain MRI Data for Individualized Image Analysis”, NeuroImage, 101(0): 168 – 176, 2014. X. Tang, S. Yoshida, T. Huisman, A.V. Faria, K. Oishi, K. Kutten, A. Poretti, M.I. Miller, and S. Mori, “Multi-Contrast Multi-Atlas Parcellation of Diffusion Tensor Imaging”, PLoS ONE 9(5): e96985, 2014. X. Tang, D. Holland, A.M. Dale, L. Younes, and M.I. Miller, “Shape abnormalities of subcortical and ventricular structures in mild cognitive impairment and Alzheimer’s disease: detecting, quantifying, and predicting”, Human Brain Mapping, 35(8): 3701 – 3725, 2014. C. Ceritoglu#, X. Tang#, M. Chow, D. Hadjiabadi, D. Shah, T. Brown, M.H. Burhanullah, and et al, “Computational Analysis of LDDMM for Brain Mapping”, Frontiers in Neuroscience 7:151, 2013. (共同第一作者). X. Tang, K. Oishi, A.V. Faria, A.E. Hillis, M.S. Albert, S. Mori, and M.I. Miller, “Bayesian Parameter Estimation and Multi-Atlas Segmentation in the Random Orbit Model”, PLoS ONE 8(6): e65591, 2013.