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Yun Gu

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代表性期刊论文：
  1. Yang Nan, ..., Minghui Zhang,
    Y. Gu
    , Hanxiao Zhang,..., Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge,
    Medical Image Analysis (MedIA)
    , 2024.
  2. Xin You, Junjun He, Jie Yang,
    Y. Gu
    , Learning with Explicit Shape Priors for Medical Image Segmentation,
    IEEE Transactions on Medical Imaging (TMI)
    , 2024.
  3. Puyang Wang, Dazhou Guo, Dandan Zheng, Minghui Zhang, Haogang Yu, Xin Sun, Jia Ge,
    Y. Gu
    , Le Lu, Xianghua Ye, Dakai Jin, Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning,
    IEEE Transactions on Medical Imaging (TMI)
    , 2024.
  4. C. Zhang, Y. Yang, H. Zheng, Y. Huang, Y. Zheng,
    Y. Gu
    , Normalization as a Shortcut to Adaptation: A Unified Framework for Transferability Measurement in Medical Image Analysis,
    Pattern Recognition (PR)
    , 2024
  5. M. Zhang,
    Y. Gu
    , Towards Connectivity-Aware Pulmonary Airway Segmentation,
    IEEE Journal of Biomedical and Health Informatics (JBHI)
    , 28(1): 321-332, 2024.
  6. M. Zhang,...,
    Y. Gu
    , Multi-site, Multi-domain Airway Tree Modeling,
    Medical Image Analysis (MedIA)
    , 90:102957, 2023
  7. Chao Xia, Jiyue Wang, Yulei Qin, Juan Wen, Zhaojiang Liu, Ning Song, Lingqian Wu, Bing Chen,
    Y. Gu
    , Jie Yang, KaryoNet: An End-to-End Combinatorial Optimization Method for Chromosome Recognition in Metaphase Cell Images,
    IEEE Transactions on Medical Imaging (TMI)
    , 42(10): 2899-2911, 2023.
  8. C. Zhang, H. Zheng,
    Y. Gu
    , Dive into the Details of Self-supervised Learning for Medical Image Analysis,
    Medical Image Analysis (MedIA)
    , 89:102879, 2023
  9. C. Zhang, G.Z. Yang,
    Y. Gu
    , Constrastive Adversarial Learning for Unsupervised Endomicroscopy Image Super-Resolution,
    IEEE Journal of Biomedical and Health Informatics (JBHI)
    , 27(8):3994-4005, 2023
  10. Y. Gu
    , Single-shot Focus Estimation for Microscopy Imaging with Kernel Distillation,
    IEEE Transactions on Computational Imaging (TCI)
    , 9, 542-550, 2023
  11. Y. Gu
    , J. Yang and G.-Z. Yang, Towards Occlusion-Aware Pose Estimation of Surgical Suturing Threads ,
    IEEE Transactions on Biomedical Engineering (TBME)
    , 70(2): 581-591, 2023.
  12. 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)
    , 83: 102627, 2023
  13. 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)
    , 42(1):103-118, 2023
  14. 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)
    , 41(12): 3600-3610, 2022.
  15. 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)
    , 41(11): 3242-3252, 2022.
  16. H Zheng, Y Qin,
    Y. Gu
    , F Xie, J Yang, J Sun, G.-Z. Yang, Alleviating class-wise gradient imbalance for pulmonary airway segmentation,
    IEEE Transactions on Medical Imaging (TMI)
    , 40(9): 2452-2462, 2021.
  17. 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
  18. 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
  19. 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.
  20. 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.
  21. 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
  22. 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, X. You, G.-Z. Yang,
    Y. Gu
    , “ Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures”,
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2024.
  2. X. You,
    Y. Gu
    , Y. Wu, M. Zhang, M. Ding, Y. Yu, J. Yang, “Semantic difference guidance for the uncertain boundary segmentation of CT left atrium appendage”,
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2023.
  3. H. Yue,
    Y. Gu
    “TCL: Triplet Consistent Learning for Odometry Estimation of Monocular Endoscope”,
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2023.
  4. Y. Yang, M. Wei, J. He, J. Yang, J. Ye and
    Y. Gu
    , “Pick the Best Pre-trained Model: Towards Transferability Estimation For Medical Image Segmentation”,
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2023,
    Early Accepted
    .
  5. W. Yu, H. Zheng,
    Y. Gu
    , F. Xie, J. Sun, J. Yang, “AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling”,
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2023,
    Early Accepted
    .
  6. J. Xu, T. Zhang, Y. Wu, J. Yang, G.-Z. Yang and
    Y. Gu
    , “CDFI: Cross Domain Feature Interaction for Robust Bronchi Lumen Detection”
    International Conference on Robotics and Automation (ICRA)
    , 2023.
  7. H. Zhang, M. Zhang,
    Y. Gu
    and G-Z. Yang, “Deep Anatomy Learning for Lung Airway and Artery-vein Modeling with Contrast-enhanced CT Synthesis”
    International Conference on Information Processing in Computer-Assisted Interventions (IPCAI)
    , 2023.
    Machine Learning for CAI Award
    .
  8. 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
    .
  9. 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
    .
  10. 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
    .
  11. 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.
  12. 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.
  13. 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.
  14. H. Zhang,
    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.
  15. 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.
  16. 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.
    Early Accepted
  17. 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.
  18. 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.
  19. 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.
  20. 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
  21. Y. Hu,
    Y. Gu
    , J. Yang, and G.-Z. Yang, “Multi-stage suture detection for robot assisted anastomosis based on deep learning” in
    IEEE International Conference on Robotics and Automation (ICRA)
    2018.
  22. H. Zheng,
    Y. Gu
    , Y. Qin, X. Huang, J. Yang, G.-Z. Yang, “Small lesion classification in dynamic contrast enhancement MRI for breast cancer early detection,” in
    International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)
    , 2018, pp. 410–419.
  23. 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.
  24. 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.
  25. 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. 64–71.

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