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代表性期刊论文：
- M. Zhang,...,
Y. Gu , Multi-site, Multi-domain Airway Tree Modeling (ATM’22): A Public Benchmark for Pulmonary Airway Segmentation, Medical Image Analysis (MedIA) , 2023 (Conditionally Accepted)
- 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) , 2023 (Accepted)
- 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
- 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
Y. Gu , Single-shot Focus Estimation for Microscopy Imaging with Kernel Distillation, IEEE Transactions on Computational Imaging (TCI) , 9, 542-550, 2023Y. 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.- 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
- 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
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.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.- 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.
- 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
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): 481-492，2020Y. 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.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.Y. Gu and J. Yang, “Densely-Connected Multi-Magnification Hashing for Histopathological Image Retrieval,” IEEE Journal of Biomedical and Health Informatics (JBHI) , 23(4): 1683-1691,2019Y. 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：
- 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.
- 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.
- 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 .
- 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 .
- 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.
- 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 .
- 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 .
- 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 .
- 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 .
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
- 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.
- 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.
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.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 - 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.
- 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.
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.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.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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