姓 名：李悦翔 研究方向：深度学习，医学图像处理 电子邮箱：yuexiang.li@szu.edu.cn 个人介绍 李悦翔，北京邮电大学学士，香港科技大学硕士，于2016年获得英国诺丁汉大学电子工程博士学位。主要研究方向为深度学习技术在医学图像中的应用。 教育经历 2007.09-2011.06 北京邮电大学 通信工程及管理 工学学士 2011.09-2012.07 香港科技大学 电子工程 工学硕士 2012.10-2016.07 英国诺丁汉大学 电子工程 工学博士 论文 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).
姓 名：李悦翔 研究方向：深度学习，医学图像处理 电子邮箱：yuexiang.li@szu.edu.cn 个人介绍 李悦翔，北京邮电大学学士，香港科技大学硕士，于2016年获得英国诺丁汉大学电子工程博士学位。主要研究方向为深度学习技术在医学图像中的应用。 教育经历 2007.09-2011.06 北京邮电大学 通信工程及管理 工学学士 2011.09-2012.07 香港科技大学 电子工程 工学硕士 2012.10-2016.07 英国诺丁汉大学 电子工程 工学博士 论文 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).