缑水平
个人信息:Personal Information
教授
性别:女
毕业院校:西安电子科技大学
学历:博士研究生毕业
学位:博士学位
在职信息:在岗
所在单位:人工智能学院
学科:电路与系统
办公地点:西安电子科技大学北校区主楼2区415
联系方式:029-88203744
电子邮箱:
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- [21]Shuiping Gou, Jiaolong Wu, Fang Liu.StanislasRapacchi, Peng Hu, Ke Sheng*. Feasibility of automated pancreas segmentation based on dynamic MRI. British Journals of Radiology. 87(1044): 20140248, 2014.
- [22]Gou S*, Wang Y, Peng Y, Zhang X, et al. Image Sequences Restoration based on Sparse and Low-rank Decomposition,PLOS ONE, 8(9), pp.1-10, 2013.
- [23]Shuiping Gou*, Xiong Zhuang, Yangyang Li, Cong Xu, L C Jiao, Multi-elitist Immune Clonal Quantum Clustering Algorithm, Neurocomputing, 101(4):275-289, 2013.
- [24]Whenshuai Chen, Shuiping Gou*, Xinlin Wang, Xiaofeng Li and Licheng Jiao, Classification of PolSAR Images Using Multilayer Autoencoders and a Self-Paced Learning Approach, Remote Sensing, 2018, 10(1): 110. doi:10.3390/rs10010110
- [25]Shuiping Gou*, Shuzhen Liu, Shuyuan Yang, Licheng Jiao. Remote Sensing Image Super-resolution Reconstruction Based on Nonlocal Pairwise Dictionaries and Double Regularization,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,7(12): 4784-4792,2014
- [26]S. P. Gou*, Xin. Qiao, X.R. Zhang, W. F. Wang, F.F. Du, An Eigenvalue Analysis Based Approach for POL-SAR Image Classification, IEEE Transactions on Geoscience and Remote Sensing, 52( 2), pp.805-818, 2014.
- [27]S. P. Gou*, X. Zhuang, H. M. Zhu, T.T. Yu, Parallel Sparse Spectral Clustering for SARImage Segmentation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(4):1949-1963, 2013
- [28]S. Gou*, X. Zhuang, L. Jiao, Quantum Immune Fast Spectral Clustering for SAR Image Segmentation, IEEE Geoscience and Remote Sensing Letters, 9(1):8-12, 2012.
- [29]S.P. Gou*, J. Zhang, L.C. Jiao, Fast Immune Greedy Spectral Clustering, Information-An International Interdisciplinary, 15(1):375-385, 2012.
- [30]Gou Shuiping*, Feng Jing, Jiao Licheng, Clustering via Dimensional Reduction Method for the Projection Pursuit Based on the ICSA, Journal of electronics, l27(4):474-479, 2011.
- [31]S Gou*, S Rapacchi , P Hu , K Sheng , Automated Pancreas Segmentation Based On Dynamic MRI, 56th AAPM Annual metting, July 20-24,2014, Austin, TX, USA.
- [32]K Sheng*, S Gou , P Kupelian, M Steiberg, D Low, Detecting Tumors with Extremely Low Contrast in CT Image, 56th AAPM Annual metting, July 20-24,2014, Austin, TX, USA.
- [33]J.JIN, E Mckenzie, S Gou*, G. Yang, Non-Local means denoising of SG-KS-4D MRI Improves the accuracy of deformable registration and pancreas tumor segmentation. 2015 International Symposium on AAPM.
- [34]N. Shuai, S.Gou*, K, Sheng and T.XU. Pancreas MRI segmentation based on low rank decomposition enhance. The 15th Asia-Oceania Congress of Medical Physics (AOCMP2015) , Nov. 5-8, 2015
- [35]Shuiping Gou*, Guangan Zhuang, Licheng Jiao. Transfer Clustering Based On Dictionary Learning For Images Segmentation. SampTA2011.
- [36]Gou, S. P*, Yang Jingyu. Spectral Clustering Based on Dictionary Learning Sampling for Image Segmentation. IScIDE , pp.1-4, 2011.
- [37]Nuo Tong, Shuiping Gou*. Gastric Lymph Nodes Detection Based on Visual Saliency and Dictionary Learning. 2016 International Technical Conference of IEEE Region 10.
- [38]Linlin Chen, Shuiping Gou*, Yao Yao, Jing Bai. Denoising of Low Dose CT Image with Context-Based BM3D. 2016 International Technical Conference of IEEE Region 10.