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主讲教师 |
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Wei Guo (郭薇)
Associate Professor, School of Computer Shenyang Aerospace University No.37 Daoyi South Avenue, Shenbei New Area, Shenyang, China 110136 Phone: 024-89723941 E-mail: guowei@sau.edu.cn
Education Experience
2008/9-2011/10 Ph.D. of Pattern recognition and intelligent system in Northeastern University
2006/9-2008/7 Master of Pattern recognition and intelligent system in Northeastern University
2002/9-2006/7 Bachelor of Automation in Northeastern University
Work Experience
2012/3-current: College of Computer. Shenyang Aerospace University
Research Interests:
Image Processing, Pattern Recognition, and Intelligent System
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姓名:郭薇
性别:女
出生年月:1983-01-11
学历:博士研究生
学位:博士
职称:副教授
手机:+8613840541833
Email:guowei@sau.edu.cn
学习经历:
2008/9-2011/10 东北大学,模式识别与智能系统,博士
2006/9-2008/7 东北大学,模式识别与智能系统,硕士
2002/9-2006/7 东北大学,自动化,学士
工作经历
2012/3-至今:沈阳航空航天大学,计算机学院
研究方向:
图像处理,模式识别与智能系统
发表的论文
期刊论文:
[1] Guo W , Xiao Y , Zhang G . Multi-scale Pedestrian Detection by Use of AdaBoost Learning Algorithm[C]// 2014 International Conference on Virtual Reality and Visualization (ICVRV). IEEE, 2014.
[2] Zhou H , Guo W , Zhang G . Modeling and Analysis of Patching Structured Benign Worms Countering against Worms[C]// International Conference on Virtual Reality & Visualization. IEEE, 2015.
[3] Guo W , Li Q . Effect of segmentation algorithms on the performance of computerized detection of lung nodules in CT[J]. Medical Physics, 2014, 41(9):091906.
[4] 周翰逊, 郭薇, 刘建, et al. 基于马尔可夫链的网络蠕虫传播模型[J]. 通信学报, 2015(5).
[5] Zhang G , Xiao N , Guo W . Spiculation Quantification Method Based on Edge Gradient Orientation Histogram[C]// International Conference on Virtual Reality & Visualization. IEEE, 2015.
[6] Zhang G , Zhou J , Guo W . A Method to Reduce Samples for Support Vector Machines[C]// International Conference on Virtual Reality & Visualization. IEEE, 2015.
[7] 宫照煊, 覃文军, 郭薇, 等. 改进的局部扩展拟合图像分割方法[J]. 东北大学学报 (自然科学版), 2018, 39(4): 483-487.
[8] Zhang, G. , Cong, L. , Wang, L. , & Guo, W. . (2014). Lung Fields Segmentation Algorithm in Chest Radiography. Advances in Image and Graphics Technologies. Springer Berlin Heidelberg.
[9] Zhang, G. D. , Guo, Y. F. , Gao, S. , & Guo, W. . (2014). Lung segmentation in feature images with gray and shape information. Applied Mechanics and Materials, 513-517, 3069-3072.
[10] 张国栋, 姚庆, 蔡诗雨, & 郭薇. (2013). 基于多投影图像配准的肺结节检测算法. 仪器仪表学报, 34(8).
[11] Guo W , Li Q . High performance lung nodule detection schemes in CT using local and global information[J]. Medical Physics, 2012, 39(8).
[12] Guo W, Wang L, Zhou H X. A behavior approach to instant messaging worm detection[C]//2015 International Conference on Artificial Intelligence and Industrial Engineering. Atlantis Press, 2015.
会议论文:
[1] Zhang G D , Xue X H , Guo W . Effect of Measure and Interpolation Methods for Intensity-Based Medical Image Registration[J]. Advanced Materials Research, 2013, 647:612-617.
[2] Guo W, Chen Q, Gong Z, et al. Automatic Rib Detection and Segmentation Based on Spatial Distance Constraints Particle Filter Method[C]//Proceedings of the 2018 International Conference on Image and Graphics Processing. ACM, 2018: 22-25.Vertebrae detection algorithm in CT scout images
[3] Zhang, G., Shao, Y., Kim, Y., & Guo, W. (2016, July). Vertebrae Detection Algorithm in CT Scout Images. In Chinese Conference on Image and Graphics Technologies (pp. 230-237). Springer, Singapore.
[4] Zhou H, Guo W, Feng Y. An Automatic Extraction Approach of Worm Signatures Based on Behavioral Footprint Analysis[J]. 網際網路技術學刊, 2014, 15(3): 405-412.Pulmonary Nodules Segmentation Method Based on Auto-encoder
[5] Zhang, G., Guo, M., Gong, Z., Bi, J., Kim, Y., & Guo, W. (2018, August). Pulmonary nodules segmentation method based on auto-encoder. In Tenth International Conference on Digital Image Processing (ICDIP 2018) (Vol. 10806, p. 108062P). International Society for Optics and Photonics.Lung Nodules Detection Based on Modified Extreme Learning Machine with Deep Convolutional Features
[6] Zhang, G., Zhang, W., Gong, Z., Bi, J., Kim, Y., & Guo, W. (2018, August). False positive reduction of pulmonary nodules using three-channel samples. In Tenth International Conference on Digital Image Processing (ICDIP 2018) (Vol. 10806, p. 108065G). International Society for Optics and Photonics.
[7] Zhang, G., Sun, Y., Kong, L., Bi, J., Gong, Z., Kim, Y., & Guo, W. (2018, August). Lung nodules detection based on modified extreme learning machine with deep convolutional features. In Tenth International Conference on Digital Image Processing (ICDIP 2018) (Vol. 10806, p. 1080657). International Society for Optics and Photonics.
[8] Gong Z, Guo W, Guo J, et al. Level Set Framework of Multi Labels Fusion for Multiple Sclerosis Lesion Segmentation[C]//Proceedings of the 2nd International Symposium on Image Computing and Digital Medicine. ACM, 2018: 12-15.
[9] Zhang G, Kong L, Guo W, et al. Gaussian Highpass Filters-based Convolutional Neural Network for Pulmonary Nodules Detection in CT Images[C]//Proceedings of the 2nd International Symposium on Image Computing and Digital Medicine. ACM, 2018: 60-63.
在研项目:
2017.04 ~ 2019.04, “基于先验模型的图像分割算法研究” , 辽宁省自然科学基金,负责人.
2018.12 ~ 2019.12,“病灶影像标记物提取准确性评估”,开发,参与人。
2018.04 ~ 2021.04,“基于MR影像的脑部多发性硬化斑块检测关键算法研究”, 校引进人才科研启动基金项目(校博),参与人。
2018.04 ~ 2021.04,“面向彩色视网膜图像的青光眼疾病诊断方法研究”, 校引进人才科研启动基金项目(校博),参与人。
已结题项目:
2013.07 ~ 2015.06, “基于DR图像的椎骨骨折检测算法研究” , 辽宁省自然科学基金,负责人.
2013.01 ~ 2015.12, “基于多投影相关图像的肺结节检测关键算法研究” , 沈阳市科技局计划项目,负责人.
2014.09 ~ 2017.12, “基于双能减影信息的骨骼抑制算法研究” , 国家自然科学基金,负责人.
2009.09 ~ 2012.12,“低剂量肺部CT影像量化分析关键技术研究”, 国家自然科学基金,参与人。
2013.09 ~ 2017.12,“基于多维融合信息的肺结节检测与良恶性鉴别”, 国家自然科学基金,参与人。
2013.09 ~ 2017.12,“基于彩色CCD光学图像的高温零件检测与测量技术研究”, 航空科学基金,参与人。
2014.01 ~ 2015.12, “基于多投影相关图像的肺分割算法研究” , 校引进人才科研启动基金项目(校博),负责人. |
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