Preoperative Planning

We build the segmentation and dectection methods for endoluminal intervention.

X. You, M. Ding, M. Zhang, H. Zhang, J. Wu, Y. Yu, J. Yang, Y. Gu, Towards Boundary Confusion for Volumetric Medical Image Segmentation, Medical Image Analysis (MedIA), 2026— code
X. You, J. He, J. Yang, Y. Gu, Learning with Explicit Shape Priors for Medical Image Segmentation, IEEE Transactions on Medical Imaging (TMI), 2025 — code
X. You, Y. Lou, M. Zhang, J. Yang, Y. Gu, SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation, IEEE Journal of Biomedical and Health Informatics (JBHI), 2025
M. Zhang, Y. Gu, Towards Connectivity-Aware Pulmonary Airway Segmentation, IEEE Journal of Biomedical and Health Informatics (JBHI), 2024 — code
M. Zhang, …, Y. Gu, Multi-site, Multi-domain Airway Tree Modeling, Medical Image Analysis (MedIA), 2023
W. Yu, H. Zheng, Y. Gu, F. Xie, J. Yang, J. Sun, G.-Z. Yang, TNN: Tree Neural Network for Airway Anatomical Labeling, IEEE Transactions on Medical Imaging (TMI), 2023
C. Li, M. Zhang, C. Zhang, Y. Gu, Reflecting Topology Consistency and Abnormality via Learnable Attentions, IPCAI, 2025 — code
M. Zhang, H. Zhang, X. You, G.-Z. Yang, Y. Gu, Implicit Representation Embraces Challenging Attributes of Pulmonary Airway Tree Structures, MICCAI, 2024 — code
W. Yu, H. Zheng, Y. Gu, F. Xie, J. Sun, J. Yang, AirwayFormer: Structure-Aware Boundary-Adaptive Transformers for Airway Anatomical Labeling, MICCAI (Early Accepted), 2023 — code

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