本科就读于西北大学物联网工程专业，曾获西北大学优秀毕业生称号。入选西北大学的“博士生优秀生源计划”后，于计算机科学与技术专业硕博连读。博士期间主要研究方向为磁共振成像及后处理相关技术，于《Medical Physics》、《NMR in Biomedicine》等期刊以第一作者发表4篇SCI论文。

    一、论著：

（1）Chen Yibing, Fan Siqi, Chen Yongfeng, Che Chang, Cao Xin, He Xiaowei, Song Xiaolei, Zhao Ffengjun. Vessel segmentation from volumetric images: a multi-scale double-pathway network with class-balanced loss at the voxel level. Medical Physics. 2021 Jul;48(7):3804-3814. （JCR 2区，SCI 3区，影响因子4.51）

（2）Chen Yibing, Dang Xujian, Zhao Benqi, Chen Zhensen, Zhao Yingcheng, Zhao Fengjun, Zheng Zhuozhao, He Xiaowei, Peng Jinye, Song Xiaolei. Frequency importance analysis for chemical exchange saturation transfer magnetic resonance imaging using permuted random forest. NMR in Biomedicine. 2022 Apr 18:e4744. （JCR 1区，SCI 3区，影响因子4.48，Top期刊）

（3）Chen Yibing, Dang Xujian, Zhao Benqi, Zheng Zhuozhao, He Xxiaowei, Song Xiaolei. B0 Correction for 3T Amide Proton Transfer (APT) MRI Using a Simplified Two-Pool Lorentzian Model of Symmetric Water and Asymmetric Solutes.Tomography. 2022 Aug 1;8(4):1974-1986. （JCR 3区，SCI 4区，影响因子3.00）

（4）Yibing Chen, Benqi Zhao, Changhao Zhu, Chongxue Bie, Xiaowei He, Zhuozhao Zheng, Xiaolei Song. Assessing the predictability of the H3K27M status in diffuse glioma patients using frequency importance analysis on chemical exchange saturation transfer MRI. Magnetic Resonance Imaging. 2023 Nov 103:54-60. （JCR 3区，SCI 4区，影响因子2.50）

（5）Zhao Yingcheng, Chen Yibing, Chen Yanrong, Zhang Lihong, Wang Xiaoli, He Xiaowei. A fully convolutional network (FCN) based automated ischemic stroke segment method using chemical exchange saturation transfer imaging. Medical Physics. 2022 Mar;49(3):1635-1647. （JCR 2区，SCI 3区，影响因子4.51）

（6）Zhao Fengjun, Chen Yibing, Chen Fei, He, Xuelei, Cao, Xin, Hou, Yuqing, Yi Huangjian, He Xiaowei, Liang Jimin. Semi-supervised cerebrovascular segmentation by hierarchical convolutional neural network. IEEE Access, 2018 Dec; 6:67841-67852. （JCR 2区，SCI 2区，影响因子3.48）

（7）Zhao Fengjun, Hu Haowen, Chen Yibing, Liang Jimin, He Xiaowei, Hou Yuqing. Accurate Segmentation of Heart Volume in CTA With Landmark-Based Registration and Fully Convolutional Network. IEEE Access, 2019, Apr; 7:57881-57893. （JCR 2区，SCI 2区，影响因子3.48）

二、专利：

（1）宋小磊；陈一兵；党旭剑；朱昌浩；刘础雨；贺小伟；基于排列随机森林的CEST磁共振分析方法及装置，2022-04-21，中国，CN202210426923.8

（2）宋小磊；党旭剑；陈一兵；朱昌浩；贺小伟；基于二池洛伦兹模型的APT磁共振主磁场校正方法，2022-08-01，中国，CN202210918391.X

（3）赵凤军；赵嘉铭；陈一兵；曹欣；易黄建；贺小伟；彭进业；侯榆青；结合卷积神经网络与循环神经网络的血管中心线追踪方法，2019-11-13，中国，CN201911108172.X

（4）宋小磊；吴斌；赵凤军；范思琪；陈一兵；朱元强；贺小伟；侯榆青；一种冠脉斑块数据检测方法、系统、存储介质、终端，2020-03-10，中国，CN202010160279.5

（5）侯榆青；孙飞飞；赵凤军；贺小伟；陈一兵；高培；王宾；易黄建；曹欣；基于中心线提取的血管图像分割方法、核磁共振成像系统，2017-08-31，中国，CN201710775038.X