Shaodong Cao
Orcid: 0000-0002-0311-1684
  According to our database1,
  Shaodong Cao
  authored at least 12 papers
  between 2018 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
  2025
A continuous-action deep reinforcement learning-based agent for coronary artery centerline extraction in coronary CT angiography images.
    
  
    Medical Biol. Eng. Comput., June, 2025
    
  
  2024
Deep learning-driven pulmonary arteries and veins segmentation reveals demography-associated pulmonary vasculature anatomy.
    
  
    CoRR, 2024
    
  
  2023
Research on classification algorithm of cerebral small vessel disease based on convolutional neural network.
    
  
    J. Intell. Fuzzy Syst., 2023
    
  
  2022
Dynamic evaluation of unruptured intracranial aneurysms by 4D-CT angiography: comparison with digital subtraction angiography (DSA) and surgical findings.
    
  
    BMC Bioinform., December, 2022
    
  
  2020
Dynamically constructed network with error correction for accurate ventricle volume estimation.
    
  
    Medical Image Anal., 2020
    
  
Commensal correlation network between segmentation and direct area estimation for bi-ventricle quantification.
    
  
    Medical Image Anal., 2020
    
  
    Medical Image Anal., 2020
    
  
  2019
A Novel Spatio-Temporal Self-Supervised Framework to Improve the Generalization Ability for Left Ventricle Volume Quantification Based on CMR Data.
    
  
    Proceedings of the 46th Computing in Cardiology, 2019
    
  
Weakly Supervised Deformation Network for 3D Echocardiography Segmentation on Left Ventricle.
    
  
    Proceedings of the 46th Computing in Cardiology, 2019
    
  
  2018
    IEEE Trans. Biomed. Eng., 2018
    
  
VoxelAtlasGAN: 3D Left Ventricle Segmentation on Echocardiography with Atlas Guided Generation and Voxel-to-Voxel Discrimination.
    
  
    Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
    
  
A Temporal Area Variation Regularized Deep Learning Network for Left Ventricle Segmentation on Cardiac Magnetic Resonance.
    
  
    Proceedings of the Computing in Cardiology, 2018