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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 31–40 of 48 papers

TitleStatusHype
U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction—0
Unlocking the Potential of Early Epochs: Uncertainty-aware CT Metal Artifact Reduction—0
Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN—0
X-ray Photon-Counting Data Correction through Deep Learning—0
A Metal Artifact Reduction Scheme For Accurate Iterative Dual-Energy CT Algorithms—0
Automated Segmentation of Hip and Thigh Muscles in Metal Artifact-Contaminated CT using Convolutional Neural Network-Enhanced Normalized Metal Artifact Reduction—0
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network—0
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images—0
Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction—0
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction—0
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