Xiaoying Tang, Ph.D., Assistant Professor and Associate Researcher at the Department of Electrical and Electronic Engineering at Southern University of Science and Technology, Adjunct Assistant Professor at the Department of Electrical and Computer Engineering at Johns Hopkins University, Adjunct Assistant Professor at the Department of Electrical and Computer Engineering at Carnegie Mellon University, PI for the National Natural Science Foundation of China and the National Key R&D Program of China, Associate editor for Frontiers in Neuroscience and Frontiers in Neurology, Reviewers for multiple international journals such as NeuroImage and Human Brain Mapping.
2009-2014 Johns Hopkins University (USA), Ph.D. Electrical and Computer Engineering
2013-2014 Johns Hopkins University, M.S. Applied Mathematics and Statistics
2009-2011 Johns Hopkins University, M.S. Electrical and Computer Engineering
2005-2009 Huazhong University of Science and Technology, B.E. Control System Engineering
2006-2009 Huazhong University of Science and Technology, B.S. Foreign Language Education
2018/05–NOW Tenure-track Assistant Professor, Associate Researcher, Electrical and Electronic Engineering, Southern University of Science and Technology
2016/02–NOW Adjunct Assistant Professor, Electrical and Computer Engineering, Carnegie Mellon University (USA)
2015/05–NOW Adjunct Assistant Professor, Electrical and Computer Engineering, Johns Hopkins University (USA)
2015/05–2018/05 Associate Professor, School of Electronics and Information Technology, Sun Yat-sen University (formerly named School of Mobile and Information Engineering)
2015/05–2018/05 Tenure-track Assistant Professor, SYSU-CMU Joint Institute of Engineering, Sun Yat-sen University
2015/05–2018/05 Assistant Professor, SYSU-CMU Shunde International Joint Research Institute
2015/05–2016/08 Visiting Professor, Electrical and Computer Engineering, Carnegie Mellon University (USA)
2014/05–2015/05 Postdoctoral Research Fellow, Center for Imaging Science, Johns Hopkins University (USA)
Dr. Tang’s research focuses on the intelligent and quantitative analysis of medical images, with primary applications to the multi-modality MRI image analysis of the human brain and the multi-modality ophthalmic images, as well as the AI-based early diagnosis and prediction of brain disorders and eye diseases.
Medical image segmentation and registration, diffusion tensor image analysis, statistical shape analysis, manifold learning and clustering, spatiotemporal analysis, multi-modality MRI analysis, pattern recognition, machine learning, big data in medicine.
- 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.
- M.I. Miller, S. Mori, X. Tang, D. Tward, and Y. Zhang, “3D Deformable templates in computational anatomy”. In: A.W. Toga, Eds. Brain Mapping: An Encyclopedic Reference, Elsevier, Academic Press, 2015.
Dr. Tang’s group recruits research assistants professors, post-doc researchers, research assistants, Ph.D. students, master students, as well as undergraduate interns. Visiting scholars and students are also welcome. Please contact Dr. Tang directly via email if interested in any of the above positions.