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陈新建,特聘教授,博士生导师,国家重大基础研究计划(973)青年科学家项目首席科学家。2006年博士毕业于中国科学院自动化研究所,专业为模式识别与智能系统,并获得中国科学院院长优秀奖。博士毕业后加入微软亚洲研究院任副研究员,之后先后就职于美国常青藤大学—宾夕法尼亚大学、美国国立卫生研究院、爱荷华大学,长期以来,一直从事医学图像处理方面的研究。2012年6月加入苏州大学电子工程系,任特聘教授。现为IEEE会员、多个国际顶级期刊的审稿人,截至目前共发表50多篇国际顶级期刊/会议论文,获得中国发明专利授权2项,受理2项,美国专利申请3项(1项已获授权);获得中国国家科学技术进步二等奖1项,北京市科学技术奖二等奖2项和信息产业部重大技术发明奖1项。 更多信息请见:www.mipav.net |
研究领域 |
主要研究方向:医学影像处理,模式识别,图像分析, 三维建模与可视化 致力于运用信息科学的基本理论和方法,与临床医学相结合,探索新方法和新技术,实现高效的疾病定量分析与可视化,降低疾病诊断与治疗的盲目性和不可靠性,为临床医生准确地做出诊断,快速地制定治疗方案和有效地评估治疗效果提供重要支持。 |
科研项目 |
1、 国家重大基础研究计划(973)青年科学家项目,项目首席科学家,项目号:2014CB748600,500万,2014-2018 2、自然科学基金委面上项目,项目负责人,项目号:81371629,75万,2014-2017 3、江苏省第9批“六大人才高峰”计划,2012-2015 4、苏州大学特聘教授科研启动基金,2012-2017 ...... |
代表性科研成果 |
代表性国际期刊 <!--[if !supportLists]-->1. <!--[endif]-->Xinjian Chen, Meindert Niemeijer, Li Zhang, Kyungmoo Lee, Michael D. Abràmoff, and Milan Sonka, 3D Segmentation of Fluid-Associated Abnormalities in Retinal OCT: Probability Constrained Graph-Search–Graph-Cut, IEEE Transactions on Medical Imaging, Vol. 31, No.8, pp.1521-1531,Epub. Mar. 19, 2012. <!--[if !supportLists]-->2. <!--[endif]-->Xinjian Chen, Jayaram K. Udupa, Ula?Ba?c?, Ying Zhuge and Jianhua Yao, Medical Image Segmentation by Combining Graph Cut and Oriented Active Appearance Models, IEEE Transactions on Image Processing, Vol.21, No.4,pp. 2035-2046, EPub. Jan. 31,2011. <!--[if !supportLists]-->3. <!--[endif]-->Xinjian Chen, JieTian, and Xin Yang, A New Algorithm for Distorted Fingerprints Matching Based on Normalized Fuzzy Similarity Measure,IEEE Transactions on Image Processing, Vol.15, No.3, pp.767-776, Mar, 2006. <!--[if !supportLists]-->4. <!--[endif]-->Xinjian Chen, Ronald Summers and Jianhua Yao, FEM Based 3D Tumor Growth Prediction for Kidney Tumor, IEEE Transactions on Biomedical Engineering, Vol. 58, No.3, pp.463-467, 2011. <!--[if !supportLists]-->5. <!--[endif]-->Xinjian Chen, Ronald M. Summers and Jianhua Yao, Kidney Tumor Growth Prediction by Coupling Reaction-Diffusion and Biomechanical Model, IEEE Transactions on Biomedical Engineering, In Press, EPub. Oct. 3, 2012. <!--[if !supportLists]-->6. <!--[endif]-->Xinjian Chen, Marcelo SoutoNacif, Songtao Liu, Christopher Sibley, Ronald M. Summers, David A. Bluemke, and Jianhua Yao, A Framework of Whole Heart Extracellular Volume Fraction Estimation for Low Dose Cardiac CT Images, IEEE Transactions on Information Technology in Biomedicine, Vol. 16, No.5, pp.842-851, June, 2012. <!--[if !supportLists]-->7. <!--[endif]-->Xinjian Chen, JieTian, and Xin Yang,An Algorithm for Distorted Fingerprint Matching Based on Local Triangle Features Set,IEEE Transactions on Information, Forensics and Security, Vol.1, No.2, pp.169-177, June, 2006. <!--[if !supportLists]-->8. <!--[endif]-->Xinjian Chen, Li Zhang, Elliott H. Sohn, Kyungmoo Lee, Meindert Niemeijer, John Chen, Milan Sonka, and Michael D. Abramoff, Quantification of External Limiting Membrane Disruption Caused by Diabetic Macular Edema from SD-OCT, Investigative Ophthalmology & Visual Science, December 2012, Vol. 53, No. 13, pp. 8042-8048. <!--[if !supportLists]-->9. Xinjian Chen, Ping Hou, Chao Jin, Weifang Zhu, Xiaohong Luo, Fei Shi, Milan Sonka and Haoyu Chen, Quantitative analysis of retinal layers' optical intensities on 3D optical coherence tomography, Investigative Ophthalmology & Visual Science, September 17, 2013 IOVS-13-12062 <!--[if !supportLists]-->10. <!--[endif]-->Xinjian Chen, Jayaram K. Udupa, AbassAlavi and Drew A. Torigian, Automatic Anatomy Recognition via MultiObject Oriented Active Shape Models, Medical Physics, Vol.37, No.12, pp.6390-6401, 2010.
专利: 1. Whole Heart Extracellular Volume Fraction / Volume of Distribution by Low Dose Computed Tomography, US Patent Pending, Inventors:David A. Bluemke, Songtao Liu, Marcelo N. Nacif, Jianhua Yao, Christopher T. Sibley, Xinjian Chen, and Ronald M. Summers, Patent Pending, 2011. 6、基于三维主动轮廓模型和三维哈弗变换的三维肾皮质定位方法,发明专利,2013年受理,申请号或专利号:201310699381.2 发明人:陈新建,金超,向德辉 7、一种基于支持向量机的3D OCT视网膜图像中IS/OS缺失区域自动检测方法,发明专利,2013年受理,申请号201310692851.2,发明人:陈新建,王莉芸,朱伟芳,陈浩宇,向德辉 |