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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
Generative Mask Pyramid Network for CT/CBCT Metal Artifact Reduction with Joint Projection-Sinogram Correction—0
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network—0
Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography—0
A Metal Artifact Reduction Scheme For Accurate Iterative Dual-Energy CT Algorithms—0
MAR-DTN: Metal Artifact Reduction using Domain Transformation Network for Radiotherapy Planning—0
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction—0
Learning-Based Patch-Wise Metal Segmentation with Consistency Check—0
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction—0
Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction—0
Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks—0
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