GraphMAR: Geometry-Aware Graph Learning Framework for Spatially Adaptive CT Metal Artifact Reduction

Documenti analoghi

• Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction
  di: Ma, Chenglong, et al.
  Pubblicazione: (2025)
• Quad-Net: Quad-domain Network for CT Metal Artifact Reduction
  di: Li, Zilong, et al.
  Pubblicazione: (2022)
• Prompted Contextual Transformer for Incomplete-View CT Reconstruction
  di: Ma, Chenglong, et al.
  Pubblicazione: (2023)
• CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
  di: Gao, Qi, et al.
  Pubblicazione: (2023)
• PHASOR: Anatomy- and Phase-Consistent Volumetric Diffusion for CT Virtual Contrast Enhancement
  di: Li, Zilong, et al.
  Pubblicazione: (2026)