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Metal Artifact Reduction

Metal artifact reduction aims to remove the artifacts introduced by metallic implants in CT images.

Papers

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Showing 11–20 of 48 papers

TitleStatusHype
Unsupervised Polychromatic Neural Representation for CT Metal Artifact ReductionCode1
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT ImagesCode1
RetinexFlow for CT metal artifact reduction—0
Orientation-Shared Convolution Representation for CT Metal Artifact LearningCode1
Metal-conscious Embedding for CBCT Projection Inpainting—0
TriDoNet: A Triple Domain Model-driven Network for CT Metal Artifact Reduction—0
Metal Inpainting in CBCT Projections Using Score-based Generative Model—0
Deep learning based projection domain metal segmentation for metal artifact reduction in cone beam computed tomography—0
Quad-Net: Quad-domain Network for CT Metal Artifact ReductionCode1
Adaptive Convolutional Dictionary Network for CT Metal Artifact ReductionCode1
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