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
Learning-Based Patch-Wise Metal Segmentation with Consistency Check—0
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images—0
Low-dimensional Manifold Constrained Disentanglement Network for 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
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network—0
Projection Inpainting Using Partial Convolution for Metal Artifact Reduction—0
Encoding Metal Mask Projection for Metal Artifact Reduction in Computed Tomography—0
Three-dimensional Generative Adversarial Nets for Unsupervised Metal Artifact Reduction—0
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact ReductionCode0
Show:102550
← PrevPage 4 of 5Next →

No leaderboard results yet.