SOTAVerified

Metal Artifact Reduction

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

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
Solving Energy-Independent Density for CT Metal Artifact Reduction via Neural Representation—0
View-Consistent Metal Segmentation in the Projection Domain for Metal Artifact Reduction in CBCT -- An Investigation of Potential Improvement—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
Show:102550
← PrevPage 4 of 5Next →

No leaderboard results yet.