一、个人简介
　　范敬凡，现任金沙2004路线js5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，金沙2004路线js5，光学工程，博士
2006/09-2010/07，金沙2004路线js5，信息科学与技术（光电子方向），学士

三、工作经历
2022/07至今，金沙2004路线js5，金沙2004路线js5，长聘副教授
2019/04-2022/07，金沙2004路线js5，金沙2004路线js5，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