顾运

职称:长聘教轨助理教授

邮箱:yungu@ieee.org

地址:转化医学大楼二楼

最新新闻

- 【TOP】2023年入学的硕士/博士招生已结束。

- 【2022/09/27】课题组研二硕士吴扬谦获得研究生国家奖学金!

- 【2022/09/11】课题组论文被Medical Image Analysis录用! 
- 【2022/09/02】课题组论文被IEEE TMI录用! 
- 【2022/08/20】指导推免学生毕设论文获”陕西省自动化学会优秀毕业设计特等奖“ 
- 【2022/08/12】课题组论文被IEEE TBME录用! 
- 【2022/07/07】课题组论文被IEEE TMI录用! 
- 【2022/06/30】课题组论文被MICCAI 2022授予Student Travel Award(Top 4%)!
- 【2022/06/10】课题组论文获IPCAI2022 Bench-to-Bedside Best Paper Award! 
- 【2022/06/03】课题组论文被MICCAI2022 Early Accept! (Top 13%)! 
- 【2022/05/30】课题组论文被IEEE TMI录用!

教育经历

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

工作经历

2020至今 上海交通大学,自动化系/医疗机器人研究院,助理教授

科研项目

主持
2021 -  2023  浙江省之江实验室开放课题,“面向大规模医学影像深度模型的预训练与泛化研究”
2021 -  2023  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”
2020 -  2022  上海市启明星培育(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  上海脑科学与类脑研究中心,“求索杰出青年”计划
2020 -  2021  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”

参与
2020  -  2022  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 ”

科研成果

代表性期刊论文:
  1. H. Zhang, L. Chen, X. Gu, M. Zhang, Y. Qin, F. Yao, Z. Wang,
    Y. Gu
    and G.-Z. Yang, Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT,
    Medical Image Analysis (MedIA)
    , In Press, 2022.
  2. W. Yu, H. Zheng,
    Y. Gu
    , F. Xie, J. Yang, J. Sun and G.-Z. Yang, TNN: Tree Neural Network for Airway Anatomical Labeling,
    IEEE Transactions on Medical Imaging (TMI)
    , In Press, 2022.
  3. 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.
  4. 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.
  5. 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.
  6. H Zheng, Y Qin,
    Y. Gu
    , F Xie, J Yang, J Sun, GZ Yang, Alleviating class-wise gradient imbalance for pulmonary airway segmentation,
    IEEE Transactions on Medical Imaging (TMI)
    , 40(9): 2452-2462, 2021.
  7. Y Qin, H Zheng,
    Y. Gu
    , X Huang, J Yang, L Wang, F Yao, YM Zhu, G.Z Yang, Learning tubule-sensitive CNNs for pulmonary airway and artery-vein segmentation in CT,
    IEEE Transactions on Medical Imaging (TMI)
    , 40(6): 1603-1617, 2021
  8. 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): 481-492,2020
  9. 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.
  10. 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.
  11. Y. Gu
    and J. Yang, “Densely-Connected Multi-Magnification Hashing for Histopathological Image Retrieval,”
    IEEE Journal of Biomedical and Health Informatics (JBHI)
    , 23(4): 1683-1691,2018
  12. 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.
代表性会议论文:
  1. M. Zhang, H. Zhang, G.-Z. Yang,
    Y. Gu
    , “CFDA: Collaborative Feature Disentanglement and Augmentation for Pulmonary Airway Tree Modeling of COVID-19 CTs,”
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2022,
    Early Accepted, Student Travel Award
    .
  2. C. Xia, J. Wang, Y. Qin,
    Y. Gu
    , B. Chen, J. Yang, “An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention,”
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2022,
    Early Accepted
    .
  3. Y. Wu, M. Zhang, W. Yu, H. Zheng, J. Xu, and
    Y. Gu
    , “LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation,”
    International Conference on Information Processing in Computer-Assisted Interventions (IPCAI)
    , 2022.
    Best Bench-to-Bedside Paper Award
    .
  4. H Zheng, Y Qin,
    Y. Gu
    , F Xie, J Sun, J Yang, GZ Yang, “Refined Local-imbalance-based Weight for Airway Segmentation in CT,” in
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2021, pp. 410–419.
  5. C. Zhang,
    Y. Gu
    , J. Yang, and G.-Z. Yang, “Diversity-Aware Label Distribution Learning for Microscopy Auto Focusing,” in
    IEEE International Conference on Robotics and Automation (ICRA)
    , with RAL submission, vol. 6, no. 2, pp. 1942–1949, 2021.
  6. J. Liu, Y. Qiao, J. Yang, G.-Z. Yang, and
    Y. Gu
    , “Discriminative Asymmetric Learning for Efficient Surgical Instrument Parsing,” in
    IEEE International Conference on Robotics and Automation (ICRA)
    , 2021, pp. 13546–13552.
  7. H. Zhang,
    Y. Gu
    Y. Gu, Y. Qin, F. Yao, and G.-Z. Yang, “Learning with sure data for nodule-level lung cancer prediction,” in
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2020, pp. 570–578.
  8. H. Zheng, Z. Zhuang, Y. Qin,
    Y. Gu
    , J. Yang, and G.-Z. Yang, “Weakly supervised deep learning for breast cancer segmentation with coarse annotations,” in
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2020, pp. 450–459.
  9. Y Qin, H Zheng,
    Y. Gu
    , X Huang, J Yang, L Wang, YM Zhu, “Learning bronchiole-sensitive airway segmentation CNNs by feature recalibration and attention distillation,” in
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2020, pp. 221–231.
  10. M. Shen,
    Y. Gu
    , N. Liu, and G.-Z. Yang, “Context-aware depth and pose estimation for bronchoscopic navigation,” in
    IEEE International Conference on Robotics and Automation (ICRA)
    with RAL submission, vol. 4, no. 2, pp. 732–739, 2019.
  11. Y Qin, M Chen, H Zheng,
    Y. Gu
    , M Shen, J Yang, X Huang, YM Zhu, GZ Yang, “Airwaynet: a voxel-connectivity aware approach for accurate airway segmentation using convolutional neural networks,” in
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2019, pp. 212–220.
  12. 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.
  13. 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.
    Early Accepted, Student Travel Award
  14. 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.
  15. 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.

获奖

2019,李介谷优秀博士论文奖

2022,IPCAI Best Bench-to-Bedside Paper Award(第一作者为研一硕士)

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