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顾运

助理教授,博士生导师

办公电话: 19921973640
通讯地址: 转化医学大楼二楼
电子邮件: yungu@ieee.org
个人主页: https://geronsushi.github.io

  • 教育背景

    2015 - 2019 上海交通大学,生物医学工程学院,获博士学位
    2016 - 2018 Imperial College London, The Hamlyn Centre, 联合培养博士
    2013 - 2015 上海交通大学,自动化系,获硕士学位
    2009 - 2013 西安交通大学,自动化系,获学士学位

  • 研究方向

    医学影像分析,计算机视觉,机器学习

  • 科研项目

    1.国家自然科学基金-青年科学基金项目,“基于迁移学习的内窥显微成像计算机辅助诊断研究” ,2021 - 2023 ,主持
    2. 上海市青年科技英才扬帆计划,“基于多模态关联学习的智能数字病理诊断研究”,2020-2022,主持
    3. 上海脑科学与类脑研究中心,“求索杰出青年”计划,2020-2022,主持
    4. 中国计算机学会-腾讯犀牛鸟创意基金,“基于单样本跨模态嵌入的医学影像分类算法研究”,2020-2021,主持
    5. 上海交通大学-医工交叉研究基金, “医学影像人工智能在肺实性结节良恶性诊断中的应用”,2021-2023,联合主持
    6. 国家重点研发项目,“面向消化道早癌的诊疗一体化手术机器人关键 技术及系统 ”,2020-2022,参与

  • 代表性论文专著


    1. Y. Gu
      , C. Gu, J. Yang, J. Sun and G.-Z. Yang, Vision-Kinematics-Interaction for Robotic-Assisted Bronchoscopy Navigation,
      IEEE Transactions on Medical Imaging (TMI)
      , In Press, 2022.

    2. Y. Gu
      , Y. Xu, J. Yang, W. Xue and G.-Z. Yang, Towards Robust Feature Embedding for Endomicroscopy Image Classification,
      IEEE Transactions on Medical Imaging (TMI)
      , In Press, 2022.

    3. Y. Gu
      , J. Yang and G.-Z. Yang, Towards Occlusion-Aware Pose Estimation of Surgical Suturing Threads ,
      IEEE Transactions on Biomedical Engineering (TBME)
      , In Press, 2022.

    4. Y. Gu
      , K. Vyas, M. Shen, J. Yang, and G.-Z. Yang, Deep Graph-Based Multimodal Feature Embedding for Endomicroscopy Image Retrieval,
      IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
      , 32(2): 481-492,2021

    5. Y. Gu
      and J. Yang, Densely-Connected Multi-Magnification Hashing for Histopathological Image Retrieval,
      IEEE Journal of Biomedical and Health Informatics (JBHI)
      , 23(4): 1683-1691,2019

    6. Y. Gu
      , K. Vyas, J. Yang, and G.-Z. Yang, Transfer Recurrent Feature Learning for Endomicroscopy Image Recognition,
      IEEE Transactions on Medical Imaging (TMI)
      , 38(3): 791-801, 2019.

    7. Y. Gu
      , M. Shen, J. Yang, and G.-Z. Yang, Reliable Label-Efficient Learning for Biomedical Image Recognition,
      IEEE Transactions on Biomedical Engineering (TBME)
      , 66(9): 2423-2432, 2019.

    8. Y. Gu
      , X. Qian, Q. Li, M. Wang, R. Hong, and Q. Tian, Image annotation by latent community detection and multikernel learning,
      IEEE Transactions on Image Processing (TIP)
      , 24(11): 3450-3463, 2015.

    9. Y. Gu
      , B. Walter, J. Yang, A. Meining, and G.-Z. Yang, “Triplet Feature Learning on Endoscopic Video Manifold for Online GastroIntestinal Image Retargeting,” in
      International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
      , 2019, pp. 38–46.

    10. Y. Gu
      , K. Vyas, J. Yang, and G.-Z. Yang, “Weakly supervised representation learning for endomicroscopy image analysis,” in
      International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
      , 2018, pp. 326–334.

    11. Y. Gu
      , Y. Hu, L. Zhang, J. Yang, and G.-Z. Yang, “Cross-scene suture thread parsing for robot assisted anastomosis based on joint feature learning,” in
      IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
      , 2018, pp. 769–776.

    12. Y. Gu
      , K. Vyas, J. Yang, and G.-Z. Yang, “Unsupervised feature learning for endomicroscopy image retrieval,” in
      International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
      , 2017, pp. 64–71.

    13. Y. Gu
      , C. Ma, and J. Yang, “Supervised recurrent hashing for large scale video retrieval,” in Proceedings of the 24th
      ACM international conference on Multimedia (ACM MM)
      , 2016, pp. 272–276.

  • 教学工作

    2020-2021 秋 CS-171 程序设计思想与方法(C++)
    2020-2021 秋/2021-2022 秋 MS-232 致远荣誉课程:先进医学影像与智能导航
    2020-2021 春 AU-342 人工智能基础
    2021-2022 秋 CS-1501 程序设计思想与方法(C++)
    2021-2022 春 AU-3323 人工智能基础

  • 荣誉奖励

    2019,李介谷优秀博士论文奖

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医疗机器人研究院