GraphMAR introduces graph-based geometric modeling and a GraphMoE module to explicitly localize and spatially adaptively reduce metal artifacts in CT images using only image-domain inputs.
DICDNet: deep interpretable convolutional dictionary network for metal artifact reduction in CT images,
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GraphMAR: Geometry-Aware Graph Learning Framework for Spatially Adaptive CT Metal Artifact Reduction
GraphMAR introduces graph-based geometric modeling and a GraphMoE module to explicitly localize and spatially adaptively reduce metal artifacts in CT images using only image-domain inputs.