DDO-IN: Dual Domains Optimization for Implicit Neural Network to Eliminate Motion Artifact in Magnetic Resonance Imaging

Documenti analoghi

• Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging
  di: Zhou, Yusheng, et al.
  Pubblicazione: (2023)
• Learning Two-factor Representation for Magnetic Resonance Image Super-resolution
  di: Wei, Weifeng, et al.
  Pubblicazione: (2024)
• Performance of a GPU- and Time-Efficient Pseudo 3D Network for Magnetic Resonance Image Super-Resolution and Motion Artifact Reduction
  di: Li, Hao, et al.
  Pubblicazione: (2021)
• Simulating Sinogram-Domain Motion and Correcting Image-Domain Artifacts Using Deep Learning in HR-pQCT Bone Imaging
  di: Sadik, Farhan, et al.
  Pubblicazione: (2025)
• Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction
  di: Zhang, Xinrui, et al.
  Pubblicazione: (2024)