/mar

MAR: Metal Artifact Reduction in CT Images

Current Literature

  1. Current and Novel Techniques for Metal Artifact Reduction at CT: Practical Guide for Radiologists (Radiographics 2018).
    [Paper]
  2. Learning metal artifact reduction in cardiac CT images with moving pacemakers (MedIA 2020).
    [Paper]
  3. Metal artifact reduction for small metal implants on CT: Which image reconstruction algorithm performs better? (EJR 2020).
    [Paper]
  4. DuDoNet: Dual Domain Network for CT Metal Artifact Reduction (CVPR 2019).
    [Paper]
  5. Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography (MICCAI 2020).
    [Paper]
  6. ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction (IEEE TMI 2020).
    [Paper]  [Code]
  7. Metal artifact reduction on cervical CT images by deep residual learning (BioMedical Engineering OnLine 2018).
    [Paper]
  8. A dual-stream deep convolutional network for reducing metal streak artifacts in CT images (PMB 2019).
    [Paper]
  9. Convolutional Neural Network Based Metal Artifact Reduction in X-Ray Computed Tomography (IEEE TMI 2018).
    [Paper]
  10. Reducing Metal Streak Artifacts in CT Images via Deep Learning: Pilot Results (Fully3D 2017).
    [Paper]
  11. Normalized metal artifact reduction (NMAR) in computed tomography (Med Phys 2010).
    [Paper]
  12. Conditional Generative Adversarial Networks for Metal Artifact Reduction in CT Images of the Ear (MICCAI 2018).
    [Paper]
  13. Regularized Three-Dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction in Head and Neck CT Images (IEEE Access 2020).
    [Paper]
  14. Metal Artifact Reduction for Polychromatic X-ray CT Based on a Beam-Hardening Corrector (IEEE TMI 2016).
    [Paper]
  15. Adversarial Sparse-View CBCT Artifact Reduction (MICCAI 2018).
    [Paper]
  16. Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction (MICCAI 2019).
    [Paper]