Xiaoru Gao
Orcid: 0000-0002-4662-9045
  According to our database1,
  Xiaoru Gao
  authored at least 13 papers
  between 2021 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
  2025
Learning and encoding semantics for multimodal deformable image registration with weak supervision.
    
  
    Biomed. Signal Process. Control., 2025
    
  
PromptReg: Universal Medical Image Registration via Task Prompt Learning and Domain Knowledge Transfer.
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025
    
  
  2024
Incremental regression of localization context for automatic segmentation of ossified ligamentum flavum from CT data.
    
  
    Int. J. Comput. Assist. Radiol. Surg., September, 2024
    
  
MAIRNet: weakly supervised anatomy-aware multimodal articulated image registration network.
    
  
    Int. J. Comput. Assist. Radiol. Surg., March, 2024
    
  
SMILE: Siamese Multi-scale Interactive-representation LEarning for Hierarchical Diffeomorphic Deformable image registration.
    
  
    Comput. Medical Imaging Graph., January, 2024
    
  
  2023
    IEEE Trans. Knowl. Data Eng., 2023
    
  
  2022
ACSGRegNet: A Deep Learning-based Framework for Unsupervised Joint Affine and Diffeomorphic Registration of Lumbar Spine CT via Cross- and Self-Attention Fusion.
    
  
    CoRR, 2022
    
  
Joint Lymphoma Lesion Segmentation and Prognosis Prediction From Baseline FDG-PET Images via Multitask Convolutional Neural Networks.
    
  
    IEEE Access, 2022
    
  
    Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022
    
  
BIDMIR: Bi-Directional Medical Image Registration with Symmetric Attention and Cyclic Consistency Regularization.
    
  
    Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022
    
  
  2021
Role of 5G network technology and artificial intelligence for research and reform of english situational teaching in higher vocational colleges.
    
  
    J. Intell. Fuzzy Syst., 2021
    
  
    Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021
    
  
DeepASDM: a Deep Learning Framework for Affine and Deformable Image Registration Incorporating a Statistical Deformation Model.
    
  
    Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2021