李淑宇 - 北京师范大学 - 认知神经科学与学习国家重点实验室

个人简介

教育经历 1998-2003: 中国科学院生物物理研究所（硕博连读） 1993-1998: 首都医科大学生物医学工程系（本科）工作经历 2021-至今：北京师范大学认知神经科学与学习国家重点实验室，教授 2008-2021：北京航空航天大学生物与医学工程学院，副教授、研究员 2005-2008：北京航空航天大学生物工程系，讲师 2003-2005：中国科学院自动化研究所模式识别国家重点实验室，博士后

研究领域

在MRI 影像数据分析方法学与脑认知科学、脑疾病的结合研究，尤其在皮层表面脑沟和皮层下脑子结构的形状分析、脑结构形态学网络构建，以及脑疾病的早期诊断和疾病进展预测方面，开展了从计算方法到临床应用的研究工作。在图像分割与配准、机器学习和深度学习算法、三维结构建模与形状分析等方面具有丰富的研究经验

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）

Fu ZR, Zhao MY, He YR, Wang XT, Lu JD, Li SX, Li X, Kang GX, Han Y*, Li SY*. Divergent Connectivity Changes in Grey Matter Structural Covariance Networks in Subjective Cognitive Decline, Amnestic Mild Cognitive Impairment, and Alzheimer’s Disease. Front. Aging Neurosci., 2021. Jin LM, Ma BQ, Zeng DB, Han Y*, Li SY*. Feature Level-Based Group Lasso Method for Amnestic Mild Cognitive Impairment Diagnosis. Computer Methods and Programs in Biomedicine, 2021. Zhao K, Zheng Q, Che TT, Martin D, Li QL, Ding YH, Zheng YJ, Liu Y*, Li SY*. Regional radiomics similarity networks (R2SNs) in the human brain: reproducibility, small-world properties and a biological basis. Network Neuroscience, 2021, https://doi.org/10.1162/netn_a_00200 Wang XT, Li QL, Zhao Y, He YR, Ma BQ, Fu ZR, Li SY*. Decomposition of individual-specific and individual-shared components from resting-state functional connectivity using a multi-task machine learning method. NeuroImage, 2021, vol.238, 118252. Zeng DB , Li QL , Ma BQ , Li SY*. Hippocampus Segmentation for Preterm and Aging Brains Using 3D Densely Connected Fully Convolutional Networks. IEEE Access, 2020, PP(99):1-1. Li QL, Wang XT, Wang SY, Xie YQ, Xie YC, Li SY*. More Flexible Integration of Functional Systems After Musical Training in Young Adults. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2020 Apr;28(4):817-824. Zhao Y, Ma BQ, Jiang PB, Zeng DB, Wang XT and Li SY*, Prediction of Alzheimer's Disease Progression with Multi-Information Generative Adversarial Network. IEEE Journal of Biomedical and Health Informatics. 2020. Ma BQ, Zhao Y., Yang YJ, Zhang XH, Dong XX, Zeng DB, Ma SY, Li SY*. MRI image synthesis with dual discriminator adversarial learning and difficulty-aware attention mechanism for hippocampal subfields segmentation. Computerized Medical Imaging and Graphics. 2020. Guo PF, Li QL, Wang XT, Li XW, Wang SY, Xie YQ, Xie YC, Fu ZR, Z XH, Li SY*. Structural Covariance Changes of Anterior and Posterior Hippocampus During Musical Training in Young Adults. Frontiers in Neuroanatomy, 2020. Fu ZR, Altered topologic of morphological brain networks in individuals with subjective cognitive decline. Journal of Alzheimers Disease, accepted, 2020. Li QL, Wang XT, Wang SY, Xie YQ, Li XW, Xie YC, Li SY*. Dynamic reconfiguration of the functional brain network after musical training in young adults. Brain Struct Funct. 2019, 224(5):1781-1795. Jiang PB, Wang XT, Li QL, Jin LM, Li SY*. Correlation-aware Sparse and Low-rank Constrained Multi-task Learning for Longitudinal Analysis of Alzheimer's Disease. IEEE J Biomed Health Inform. 2019, 23(4): 1450-1456. Zhao WN, Wang XT, Yin CH, He MF, Li SY*, Han Y*. Trajectories of the Hippocampal Subfields Atrophy in the Alzheimer's Disease: A Structural Imaging Study. Frontiers in neuroinformatics. 2019,13 Yu KX, Wang XT, Li QL, Zhang XH, Li XW, Li SY*. Individual Morphological Brain Network Construction Based on Multivariate Euclidean Distances Between Brain Regions. Front. Hum. Neurosci., 2018, 12:204. doi: 10.3389/fnhum.2018.00204. Wang XT, Yu Y, Zhao WN, Li QL, Li XW, Li SY*, Yin C*, Han Y*. Altered Whole-Brain Structural Covariance of the Hippocampal Subfields in Subcortical Vascular Mild Cognitive Impairment and Amnestic Mild Cognitive Impairment Patients. Front Neurol. 2018, 9:342. doi: 10.3389/fneur.2018.00342. Li XW, Li QL, Wang XT, Li DY, Li SY*. Differential Age-Related Changes in Structural Covariance Networks of Human Anterior and Posterior Hippocampus. Front. Physiol. 2018, 9:518. doi: 10.3389/fphys.2018.00518. Li QL, Wang XT, Wang SY, Xie YQ, Li XW, Xie YC, Li SY*. Musical training induces functional and structural auditory-motor network plasticity in young adults. Hum Brain Mapp. 2018, 39(5): 2098-2110. Li XW, Li DY, Li QL, Li YX, Li KC, Li SY*, Han Y. Hippocampal subfield volumetry in patients with subcortical vascular mild cognitive impairment. Scientific reports 2016, 6:20873. Li QL, Li XW, Wang XT, Li YX, Li KC, Yu Y, Yin CH, Li SY*, Han Y. Topological properties of large-scale cortical networks based on multiple morphological features in amnestic mild cognitive impairment. Neural Plasticity 2016, http://dx.doi.org/10.1155/2016/3462309. Li SY, Xie YQ, Li H, Li XW, Zhang ZX, Zhao QL, Xie S, Gong GL*. Morphological changes of amygdala in Turner Syndrome patients. CNS Neurosci Ther 2016, 22:194-199. Li XW, Li QL, Li SY*, Li DY*. Local manifold learning for multiatlas segmentation: application to hippocampal segmentation in healthy population and Alzheimer's disease. CNS Neurosci Ther 2015, 21(10): 826-836. Li SY*, Wang SY, Li XW, Li QL, Li XB. Abnormal surface morphology of the central sulcus in children with attention-deficit/hyperactivity disorder. Front Neuroanat 2015. V9, article 14. Li SY*, Yuan XK, Pu F, Li DY, Fan YB, Wu LY, Chao W, Chen N, He Y, Han Y*. Abnormal Changes of Multidimensional Surface Features Using Multivariate Pattern Classification in Amnestic Mild Cognitive Impairment Patients. J Neurosci 2014: 34(32):10541-10553. Li XW, Cao QJ, Pu F, Li DY, Fan YB, An L, Wang P, Wu ZM, Sun L, Li SY*, Wang YF*. Abnormalities of structural covariance networks in drug-na?ve boys with attention deficit hyperactivity disorder. Psychiatry Research: Neuroimaging 2015, 231(3): 273-278. Pu F, Sun SC, Wang L, Li Y, Yu HM, Yang Y, Zhao YY, Li SY*. Investigation of key factors affecting the balance function of older adults. Aging Clin Exp Res 2015, 27(2): 139-147. Li XW, Pu F, Fan YB, Niu HJ, Li SY*, Li DY*. Age-related changes in brain structural covariance networks. Front Hum Neurosci 2013, 7(98). doi:10.3389/fnhum.2013.00098. Pu F, Xu LQ, Li DY, Fan YB, Niu HJ, Li SY*. Comparison of two nonlinear registration techniques to investigate brain atrophy patterns in normal aging. Journal of neuroradiology 2013, 40(5):326-34. Li SY, Wang YN, Xu PF, Pu F, Li DY, Fan YB, Gong GL, Luo YJ. Surface morphology of amygdale is associated with trait anxiety. PLos One 2012, 7(10):e47817. Li SY, Xia MR, Pu F, Li DY, Fan YB, Niu HJ, Pei BQ, He Y. Age-related changes in the surface morphology of the central sulcus. NeuroImage, 2011, 58(2):381-390.