长期从事先进成像检测技术研究与教学工作，完成或参与完成各级科研项目数十项。开展了三维工业CT、显微CT、同轴相位衬度成像、差分相位衬度成像、中子成像等方法研究，取得了一批具有核心竞争力的技术，为航空、航天、核工业、特种设备等部门研发系列三维工业CT成像系统，促进了先进成像检测理论和工程技术的发展。在IEEE Transactions on Image Processing和Science in China等国内外期刊发表论文100余篇，SCI收录30余篇，申请获批发明专利20余项，参与制定国家、行业标准3项，获得欧盟TANDEM学者、教育部新世纪优秀人才、北京市科技新星等奖励。 代表性成果如下：
1）Guogang Zhu, Jian Fu: A lightweight solution of industrial computed tomography with convolutional neural network. NDT & E International 116: 102347, (2020). https://doi.org/10.1016/j.ndteint.2020.102347 2）Jian Fu, Jianbing Dong, Feng Zhao: A Deep Learning Reconstruction Framework for Differential Phase-Contrast Computed Tomography With Incomplete Data. IEEE Trans Image Processing 29: 2190-2202 (2020) 3）Jian Fu，Xianhong Shi, Wei Guo et al: Fast X-ray Differential Phase Contrast Imaging with One Exposure and without Movements. Scientific Reports 9: 1113 (2019). 4) Jian Fu, Marian Willner, Liyuan Chen et al: Helical differential X-ray phase-contrast computed tomography. Physica Medica 30(3): 374-379 (2014) 5) Jian Fu, Astrid Velroyen, Renbo Tan et al: A reconstruction method for cone-beam differential x-ray phase-contrast computed tomography. Optics Express 20(19): 21512~9 (2012) |
