1986.9-1990.6 哈尔滨工业大学精密仪器系自动化仪表专业学士学位 1994.9-1997.3 东北大学自动控制系检测技术与自动化装置专业硕士学位 1998.3-2001.7东北大学信息科学与工程学院检测技术与自动化装置专业博士学位

2001.9-2003.9 中科院沈阳自动化所模式识别与智能系统博士后 2003.10-2012.12 东北大学信息科学与工程学院副教授 2013.1至今东北大学信息科学与工程学院教授/博士生导师

项目 1.面向脑MRI多解剖结构重要深层神经核团的联合精细分割与形态分析研究，国家自然科学基金面上项目，61871106, 2019.1-2022.12,66万。 2.结合解剖特征框架的婴幼儿脑MR 图像分割与定量分析方法研究, 国家自然科学基金面上项目，61370152, 2014.1-2017.12，76万。 3.面向低质量MR图像的婴幼儿脑部疾病计算机辅助诊断关键技术研究, 教育部中央高校基本科研探索类重点项目，N130204003, 2014.1-2016.12, 40万。 4.面向多种脑ᠦ୔

学术成果 期刊论文 1.Ying Wei*, Guo Shen, Juan-juan Li. A fully-automatic method for lung parenchyma segmentation and repairing. Journal of Digital Imaging, 26:483-495, 2013(SCI) 2.Ying WEI*; Feng HAN; Kai ZHANG; Si-ting WANG. Non-local and kernel function fuzzy segmentation algorithm for infant brain MR image, Journal of Medical Imaging and Health Informatics. 8(3): 494~506, 2018 (SCI) 3.WEI Ying*, LI Rui, YANG Jin-zhu. An algorithm for segmentation of lung ROI by mean-shift clustering combined with multi-scale HESSIAN matrix dot filtering, Journal of Central South University, 19(12):3500-3509, 2012. (SCI ) 4.Liu Yue, Wei Ying*, Wang Chuyuan. Subcortical Brain Segmentation in MRI Based on Probabilistic Atlas and Linearized Kernel Sparse Representation，IEEE ACCESS, 2019, 7: 31547-31557(SCI) 5.刘悦, 魏颖*, 贾晓甜，王楚媛. 基于线性化核标签融合的脑MR图像分割方法，自动化学报，（2019.04.02网络发表） 6.Xu Lu, Wei, Ying*, etc. A Dehazing Algorithm Based on Local Adaptive Template for Transmission Estimation and Refinement，IEEE ACCESS, 2019，DOI: 10.1109/ACCESS.2019.2925900 (SCI) 7.Qinghe Feng, Ying Wei*, etc. A Color Texture Descriptor for Image Retrieval, Local Ternary Cross Structure Pattern: A Color LBP Feature Extraction with Applications in CBIR, Applied Sciences, 2019,9 (11) DOI:10.3390/app9112211 (SCI) 8.Qinghe Feng, Qiaohong Hao, Yuqi Chen, Yugen Yi, Ying Wei*. Local Parallel Cross Pattern: A Color Texture Descriptor for Image Retrieval, sensors, 2019, 19(2),315(SCI) 9.Li Xiang, Wei Ying*, etc. Subcortical Brain Segmentation Based on a Novel Discriminative Dictionary Learning Method and Sparse Coding, IEEE ACCESS, 2019, 7: 149785-149796(SCI) 10.Y. Sui, Y. Wei*, etc. Computer-Aided Lung Nodule Recognition by SVM Classifier Based on Combination of Random Undersampling and SMOTE, Computational and Mathematical Methods in Medicine, 2015(SCI) 会议论文 1.He Yanguang, Wei, Ying*, etc. Combination Of Appearance and License Plate Features for Vehicle Re-Identification，2019 International Conference on Image Processing: 3108-3112 (EI) 2.Liu Yue, Wei Ying*. Hippocampus Segmentation in MR image based on Atlas Registration and Broad Learning, Proceeding of for the 31st Chinese Control and Decision Conference, pp.2736-40, 2019 (EI) 3.Y. Sui, Y. Wei*. MR image segmentation algorithm based on non-local fuzzy C-means clustering, 2015 Chinese Control and Decision Conference, pp. 1117-1122 (EI) 4.Shi Wei-di, Wei Ying*. A Brain Segmentation Algorithm Based on Markov Model Fused with Fuzzy Similarity Dynamic Weights，2012 Chinese Control and Decision Conference, pp.1461-1464 (EI) 5.Wei Ying*，Li Juanjuan, Wu Di. A Particle Filter Tracking Algorithm Based On SIFT Feature Matching, 2012 Chinese Control and Decision Conference, pp.1450-1454, 2012. (EI) 6.Wei Ying*, Jia Tong, Lin Mingxiu. Autonomous Detection of Solitary Pulmonary Nodules on CTImages for Computer-Aided Diagnosis, Proceeding of for the 23st Chinese Control and Decision Conference, pp.4062-67, 2011.(EI) 7.Wei Guo, Ying Wei*, Hanxun Zhou, DingYe Xue. An Adaptive Lung Nodule Detection Algorithm， CCDC Chinese Control and Decision Conference, pp.964-958, 2009. (EI) 8.Ying WEI*, Xin-he XU, etc. An Optimal Level Sets Method for Lung Nodules Detection in CT Images. Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006). pp251-255. (EI) 9.Ying WEI*, Xin-he XU etc. A Weak Small Infrared Target Detection Algorithm Using Mutual-Across Filtering With Multi-Scale Wavelet Energy Combinations. Proceedings of 2006 International Conference on Artificial Intelligence (ISAI’06). pp160-163. (EI) 10.WEI Ying*, Li Jun, etc. Wavelet Mutual Energy Combination Method Detection Algorithm for Small Target in Complex Background. Proceedings of the 7th International Conference on Measurement and Control of Granular Materials (MCGM2006). pp290-294.