袁克虹 - 清华大学 - 深圳国际研究生院

个人简介

教育经历 1983年9月-1987年7月南开大学数学专业本科 1990年9月-1993年7月北京大学应用数学专业硕士 2002年9月-2005年7月北京大学应用数学专业博士工作经历 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 1999年-2002年美国MGI公司和加拿大的BLJC公司任职算法工程师 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 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 AI医疗政策、互联网医院、医养结合政策和模式研究；现代信息技术在解决“久病床前无孝子”问题的应用研究。

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

论文： 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）； 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 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 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 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 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 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 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 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.. 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. 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 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 会议： 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) 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) 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.