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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 21–30 of 48 papers

TitleStatusHype
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
Metal Artifact Reduction with Intra-Oral Scan Data for 3D Low Dose Maxillofacial CBCT Modeling—0
A Metal Artifact Reduction Scheme For Accurate Iterative Dual-Energy CT Algorithms—0
View-Consistent Metal Segmentation in the Projection Domain for Metal Artifact Reduction in CBCT -- An Investigation of Potential Improvement—0
Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning—0
Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks—0
IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction—0
U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction—0
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