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个人简介

滕月阳,男,博士,现任东北大学医学与生物信息工程学院副教授、生物医学工程学会人工智能分会青年理事、辽宁省医学信息与健康工程学会理事。2005年到2013年,任职于沈阳东软医疗系统有限公司PET-CT研发部;2013年至今,任教于东北大学。作为项目负责人,主持国家自然科学基金1项、辽宁省科技厅工业攻关及成果产业化项目1项、辽宁省科技厅面上项目1项和教育部基本科研业务费项目3项,共获批科研经费180余万元。 主要成果: 主持的项目 1.基于点扩散函数和CT解剖信息的高分辨率、低噪声的PET重建技术(61302013),国家自然科学基金青年项目,2014/01-2016/12,25万元 2.PET整机优化及PET/CT关键技术研发(2014305001),辽宁省工业攻关及成果产业化项目,2014/01-2016/12,50万元。 3.多能谱Micro-CT关键技术研究(N141008001),中央高校基本科研业务费重点项目子项目,2015/01-2017/12,90万元。 4.PSF-PET/CT重建技术研究(N130319003),中央高校基本科研业务费青年项目,2014/01-2015/12,9万。 5. 深度学习在神经信息处理中的应用(20170540321),辽宁省自然科学基金面上项目,2017/05-2019/05,5万。 6.基于深度学习的PET/CT重建关键技术研究(N201906),中央高校基本科研业务费种子项目,2020/01-2021/12,10万。

研究领域

机器学习(尤其是深度学习)理论与应用、神经信息学、生物医学成像

近期论文

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[1] Teng Y Y, Qi S, Han F, et al, A framework for least squares nonnegative matrix factorization with Tikhonov regularization, Neurocomputing, 2020, 387:78-90. (SCI) [2] Teng Y Y, Yao Y, Qi S, et al, A novel framework for the NMF methods with experiments to unmixing signals and feature representation, Journal of Computational and Applied Mathematics, 2019, 362: 205-218. (SCI) [3] Teng Y Y, Liu Y C, Yang J L, et al, Graph regularized sparse autoencoders with nonnegativity constraints, Neural Processing Letters, 2019, 50 (1) 247–262. (SCI) [4] Hou X W, Teng Y Y#, Kang Y, et al, A separable quadratic surrogate total variation minimization algorithm for accelerating accurate CT reconstruction from few-views and limited-angle data, Medical Physics, 2018, 45: 535-548. [5] Teng Y Y, Qi S L, Dai Y, et al, Semi-supervised nonnegative matrix factorization with commonness extraction. Neural Processing Letters, 2017, 45: 1-14. (SCI) [6] Teng Y Y, Xie X,Liu Y X, et al, Smoothing nonnegative matrix factorization and its application to extraction of time activity curve in dynamic brain PET, Journal of Medical Imaging and Healthy Informatics, 2017, 7 (1), pp. 224-228, 2017. (SCI) [7] Teng Y Y, Qi S L, Xiao D Y, et al, A general solution to least squares problems with box constraints and its applications, Mathematical Problems in Engineering, 2016, ID 3934872, http://dx.doi.org/10.1155/2016/3934872. (SCI) [8] Teng Y Y, Sun H, Guo C and Kang Y, ADMM-EM method for L2-Norm regularized weighted least squares PET reconstruction, Computational and Mathematical Methods in Medicine, 2016, ID 6458289, http://dx.doi.org/10.1155/2016/6458289. (SCI) [9] Teng Y Y,Zhang Y N,Li H,Kang Y, A convergent non-negative deconvolution algorithm with Tikhonov regularization, Inverse Problems, 2015, 31: 035002. (SCI) [10] Teng Y Y, Yuan N M, Zhang Y N, Qi S L and Kang Y, Family of iterative algorithms for medical image reconstruction with Bregman-divergences, Journal of Medical Imaging and Health Informatics, 2015, 5, 1708-1714. (SCI) [11] Teng Y Y and Zhang T, Generalized EM-type reconstruction algorithms for emission tomography, IEEE Transactions on Medical Imaging, 2012, 31: 1724-1733. (SCI) [12] Teng Y Y and Zhang T, Three penalized EM-type algorithms for PET image reconstruction. Computers in Biology and Medicine, 2012, 42: 714–723. (SCI) [13] Teng Y Y and Zhang T, Iterative reconstruction algorithms with α-divergence for PET imaging, Computerized Medical Imaging and Graphics, 2011, 35: 294-301. (SCI)

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