教师名录
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光电信息技术与颜色工程研究所(按姓名拼音排序)

范敬凡

性别:

职称:长聘副教授

学历:博士研究生

所在学科:光学工程

研究方向:虚拟现实与增强现实、医学图像处理、手术导航

电子邮件:fjf@bit.edu.cn

教师介绍

    一、个人简介
      范敬凡,现任英国威廉希尔公司长聘副教授、博士生导师,国家重点研发计划青年科学家,北京市科技新星及北京市青年人才托举计划入选者,兼任北京图象图形学会理事、北京医学会数字医学分会委员。主要从事计算机视觉、增强现实与医学图像处理相关领域的算法研究,主持国家自然科学基金、重点研发计划等国家级项目/课题多项,在MedIA、IEEE-TVCG、IEEE-TIP、PR、MICCAI等期刊和会议上发表论文60余篇,已参与完成多项医学图像辅助诊疗与手术导航系统的研发,相关知识产权已申报/授权40余项国家发明专利。曾获ACM/ICPC金奖、北京图象图形学会优秀博士论文、MICCAI青年科学家提名、中国仪器仪表学会金国藩青年学子奖、第五届/第六届中国“互联网+”大学生创新创业大赛金奖优秀创新创业导师等荣誉奖项。
      实验室网站:http://www.inavilab.com/teachers/fjf.html

    二、教育经历
    2010/09-2016/06,北京理工大学,光学工程,博士
    2006/09-2010/07,北京理工大学,信息科学与技术(光电子方向),学士

    三、工作经历
    2022/07至今,北京理工大学,威廉希尔,长聘副教授
    2019/04-2022/07,北京理工大学,威廉希尔,预聘助理教授岗位(特别副研究员)
    2016/06-2019/04,北京航空航天大学,计算机学院,博士后(期间2017/01-2019/01,美国北卡罗来纳大学教堂山分校,医学院,联培博士后)

    四、研究领域
    1.虚拟现实与增强现实
    2.图像分析与手术导航
    3.模式识别与机器学习

    五、承担项目
    1.科技部,国家重点研发计划青年科学家项目,面向头颈肿瘤手术的一体化导航内窥镜系统研发,2023-10至2026-10,在研,主持
    2.科技部,国家重点研发计划课题,混合现实引导精准、安全头颈微创手术导航机器人系统研发 - 微创手术交互技术与系统集成,2019-12至2021-12,结题,主持
    3.国家自然科学基金委员会,面上项目,基于动态造影大数据的冠脉SYNTAX智能诊断研究,2023-01至2026-12,在研,主持
    4.国家自然科学基金委员会, 青年项目,颅底外科手术导航的配准跟踪方法研究,2020-01至2022-12,结题,主持
    5.北京市科学技术委员会,北京市科技新星计划项目,2020-09至2023-08,结题,主持
    6.北京市科学技术协会,北京市青年人才托举项目,2020-01至2022-12,结题,主持

    六、代表性论文
    01.Jingfan Fan, Xiaohuan Cao, Pew-Thian Yap, Dinggang Shen: “BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networks”, Medical Image Analysis, 2019; 54:193-206. (SCI, IF=13.828)
    02.Jingfan Fan, Xiaohuan Cao, Zhong Xue, Pew-Thian Yap, Qian Wang, Dinggang Shen: “Adversarial Learning for Mono- or Multi-Modal Registration”, Medical Image Analysis, 2019;58:101545. (SCI, IF=13.828)
    03.Qing Guo, Hong Song*, Jingfan Fan*, Danni Ai, Yuanjin Gao, Xiaoling Yu, and Jian Yang. “Portal Vein and Hepatic Vein Segmentation in Multi-Phase MR Images Using Flow-Guided Change Detection.” IEEE Transactions on Image Processing, 2022;31:2503–17. (SCI, IF= 11.041)
    04.Jingfan Fan, Jian Yang, Yitian Zhao, Danni Ai, Yonghuai Liu, Ge Wang, Yongtian Wang: “Convex Hull Aided Registration Method (CHARM)”, IEEE Transactions on Visualization and Computer Graphics, 2017; 23(9): 2042-2055. (SCI, IF=5.226)
    05.Jingfan Fan, Jian Yang, Siyuan Yang, Danni Ai, Hong Song, Yongtian Wang, Dinggang Shen: “Deep Feature Descriptor Based Hierarchical Dense Matching for X-ray Angiographic Images”, Computer Methods and Programs in Biomedicine, 2019; 175: 233-242. (SCI, IF=7.027)
    06.Xianqi Meng, Jingfan Fan*, Hongwei Yu, Jinrong Mu, Zongyu Li, Aocai Yang, Bing Liu, Kuan Lv, Danni Ai, Yucong Lin, Hong Song, Tianyu Fu, Deqiang Xiao, Guolin Ma*, Jian Yang, Ying Gu*: “Volume-awareness and outlier-suppression co-training for weakly-supervised MRI breast mass segmentation with partial annotations”, Knowledge-Based Systems,2022. (SCI, IF=8.139)
    07.Qiang Li, Hong Song*, Fengbo Yang, Zenghui Wei, Jingfan Fan*, Danni Ai, Yucong Lin, Xiaoling Yu, and Jian Yang: “Densely Connected U-Net with Criss-Cross Attention for Automatic Liver Tumor Segmentation in CT Images”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022. (SCI, IF=3.702)
    08.Shiyuan Liu, Jingfan Fan*, Danni Ai, Hong Song, Tianyu Fu, Yongtian Wang*, and Jian Yang. “Feature Matching for Texture-Less Endoscopy Images via Superpixel Vector Field Consistency.” Biomedical Optics Express, 2022; 13(4):2247–65. (SCI, IF=3.562)
    09.Shiyuan Liu, Jingfan Fan*, Dengpan Song, Tianyu Fu, Yucong Lin, Deqiang Xiao, Hong Song, Yongtian Wang*, and Jian Yang. 2022. “Joint Estimation of Depth and Motion from a Monocular Endoscopy Image Sequence Using a Multi-Loss Rebalancing Network.” Biomedical Optics Express 13(5):2707–27. (SCI, IF=3.562)
    10.Wenjie Li, Jingfan Fan*, Yating Li, Pengcheng Hao, Yucong Lin, Tianyu Fu, Danni Ai, Hong Song, and Jian Yang. “Endoscopy Image Enhancement Method by Generalized Imaging Defect Models Based Adversarial Training.” Physics in Medicine & Biology, 2022; 67(9):95016. (SCI, IF=4.174)
    11.Jingfan Fan, Jian Yang, Danni Ai, Likun Xia, Yitian Zhao, Xing Gao, Yongtian Wang: “Convex Hull indexed Gaussian Mixture Model (CH-GMM) for 3D Point Set Registration”, Pattern Recognition, 2016; 59: 126-141. (SCI, IF=7.740)
    12.Jingfan Fan, Jian Yang, Feng Lu, Danni Ai, Yitian Zhao, Yongtian Wang: “3-Points Convex Hull Matching (3PCHM) for Fast and Robust Point Set Registration”, Neurocomputing, 2016; 194: 227-240. (SCI, IF=5.719)
    13.Jingfan Fan, Xiaohuan Cao, Zhong Xue, Pew-Thian Yap, Dinggang Shen: “Adversarial Similarity Network for Unsupervised Learning based Image Registration”, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018. (医学图像领域顶级会议, Oral Presentation, Young Scientist Award提名)

    更新时间:2023年11月

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