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Postdoctors

李悦翔        

Name:Yuexiang Li

Research direction:深度学习,医学图像处理

Email:yuexiang.li@szu.edu.cn

Publications
1 Yuexiang Li, Linlin Shen*, Siu-Yeung Cho. A robust and fast framework for cell tracking. Journal of Medical Imaging and Health Informatics . 2018, XX, .(SCI).                
2 Yuexiang Li, Linlin Shen*. cC-GAN A Robust Transfer-learning Framework for HEp-2 Specimen Image Segmentation. IEEE Access. 2018, 6(1), 14048-14058.(SCI).                
3 Yuexiang Li, Linlin Shen*. HEp-Net: a smaller and better deep-learning network for HEp-2 cell classification. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 2018, XX, .(SCI).                
4 Yuexiang Li, Linlin Shen*. Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network. Sensors. 2018, 18(2), 556-571.(SCI).                
5 Yuexiang Li, Linlin Shen*, Shiqi Yu. HEp-2 Specimen Image Segmentation and Classification Using Very Deep Fully Convolutional Network. IEEE Transactions on Medical Imaging. 2017, 36(7), 1561-1572.(SCI).                
6 Xiande Zhou, Yuexiang Li, Wenfeng Wu, Linlin Shen*. HEp-2 Cell Image Classification using Local Features and K-means Clustering based Joint Sparse Representation. International Conference on Wavelet Analysis and Pattern Recognition . 2016. Jeju Island, South Korea, .(EI).                
7 Xiande Zhou, Yuexiang Li, Linlin Shen*. A novel adaptive local thresholding approach for segmentation of HEp-2 cell images.  International Conference on Signal and Image Processing . 2016. Beijing, China, .(EI).                
8 Yuexiang Li, Linlin Shen*, Xiande Zhou, Shiqi Yu. HEp-2 Specimen Classification with Fully Convolutional Network. International Conference on Pattern Recognition. 2016. Cancun, Mexico, .(EI).                
9 Yuexiang Li, Siu-Yeung Cho*. A tracking system for mouse stem cells. Optics Within Life Sciences . 2014. Ningbo, China, .(其它).                
10 Yuexiang Li, Siu-Yeung Cho*. International Symposium on Multispectral Image Processing and Pattern Recognition. International Symposium on Multispectral Image Processing and Pattern Recognition. 2013. Wuhan, China, .(EI).