个人简历

教育经历\r
1983年9月-1987年7月 南开大学 数学专业 本科\r
1990年9月-1993年7月 北京大学 应用数学专业 硕士\r
2002年9月-2005年7月 北京大学 应用数学专业 博士\r
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工作经历\r
1993年-1999年 深圳速达公司和哈尔滨平凡信息技术公司 总工程师/总经理\r
1999年-2002年 美国MGI公司和加拿大的BLJC公司任职 算法工程师\r
2003年-2005年 北京大学医学物理和工程北京市重点实验室 高级研发人员\r
2006年至今 清华大学深圳研究生院\\清华大学医院管理研究院 副教授

研究领域

"AI疾病筛查， AI辅助诊断和治疗，AI医疗影像设备\r
AI医疗政策、互联网医院、医养结合政策和模式研究；\r
现代信息技术在解决“久病床前无孝子”问题的应用研究。\r
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近期论文

论文：\r
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Sun Yao, Huabei Shi, Sure Zhang, Pei Wang, Xiaobo Zhou, and Kehong Yuan，Rapid and Accurate Segmentation of the Eye and Appendages of CT Images for Precision Radiotherapy， Medical Physics,（accepted）；\r
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Yang Deng, Yao Sun, Yongpei Zhu, Yue Xu, Qianxi Yang, Shuo Zhang, Mingwang Zhu, Jirang Sun, Weiling Zhao, Xiaobo Zhou, Kehong Yuan, Efforts estimation of doctors annotating medical image, http://cn.arxiv.org/abs/1901.02355\r
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Yongpei Zhu, Zicong Zhou, Guojun Liao, Qianxi Yang, Kehong Yuan，The method of multimodal MRI brain image segmentation based on differential geometric features，http://cn.arxiv.org/abs/1811.04281\r
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Yao Sun, Yang Deng, Yue Xu, Shuo Zhang, Mingwang Zhu, Kehong Yuan，A Multi-channel Network with Image Retrieval for Accurate Brain Tissue Segmentation，http://cn.arxiv.org/abs/1808.00457\r
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Yang Deng, Yao Sun, Yongpei Zhu, Mingwang Zhu, Wei Han, Kehong Yuan, A Strategy of MR Brain Tissue Images' Suggestive Annotation Based on Modified U-Net, http://cn.arxiv.org/abs/1807.07510\r
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Yang Deng, Yao Sun, Yongpei Zhu, Shuo Zhang, Mingwang Zhu, Kehong Yuan,DASN:Data-Aware Skilled Network for Accurate MR Brain Tissue Segmentation, http://cn.arxiv.org/abs/1807.08473\r
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C. Duan, K. Yuan, F. Liu, Z. Liang, et al. A Multi-scale Window Scheme for Bladder Abnormality Detection with Application to MR Cystography, IEEE Trans. on Information Technology in Biomedicine,2012, 16(4). 2012, 16(4)：720-729\r
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C. Duan, K. Yuan, F. Liu, Z. Liang, et al. Volume-based Feature for Detection of Bladder Wall Abnormal Region via MR Cystography, IEEE Transaction on Biomedical Engineering，2011, 58(9):2506-2512\r
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Tian, Zhen; Jia, Xun;Yuan Kehong; Pan, Tinsu; Jiang, Steve B，Low-dose CT reconstruction via edge-preserving total variation regularization，Physics in Medicine and Biology, 2011,56(18):5949-5967..\r
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Xu, Quansheng; Yuan, Kehong; Ye, Datian, Respiratory motion blur identification and reduction in ungated thoracic PET imaging , Physics in Medicine and Biology, 2011,56(14):4481-4498.\r
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Kehong Yuan, Zhen Tian, Jiying Zou, Yanling Bai, Qingshan You, Brain CT image database for medical diagnosis using content-based image retrieval, Information Processing & Management, 2011,47(2): 176-185\r
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Weixiang Liu, Kehong Yuan, Datian Ye, Reducing Microarray Data via Nonnegative Matrix Factorization for Visualization and Clustering Analysis, Journal of Biomedical Informatics, 2008，41(4): 602-606\r
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会议：\r
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Shuge Lei, Jing Zheng, Yongpei Zhu, and Kehong Yuan*，Construction of Value Network Based on Electronic Medical Records of Stroke, 2018 International Conference on Brain Informatics (BI'18)\r
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Xinlong Sun, Deqi Cui, Mengqiao Li, Zhengzhong Yi, Shuo Zhang,Pei Wang, Kehong Yuan*，An end-to-end triple cascade CNN forautomatic segmentation of parotid glands in radiation therapy，IEEE Inter. Conf. on Medical Imaging Physics and Engineering(MIPE’17)\r
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Liu Fanghua, Duan Chaijie, Yuan Kehong, Liang Zhengrong, Bao Shanglian. Detecting bladder abnormalities based on inter-layer intensity curve for virtual cystoscopy, MICCAI 2010: Virtual Colonoscopy and Abdominal Imaging. Computational Challenges and Clinical Opportunities pp 76-83.