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Metal Artifact Reduction
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Metal artifact reduction aims to remove the artifacts introduced by metallic implants in CT images.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
MAR-DTN: Metal Artifact Reduction using Domain Transformation Network for Radiotherapy Planning
Dual-Domain CLIP-Assisted Residual Optimization Perception Model for Metal Artifact Reduction
Pixel-weighted Multi-pose Fusion for Metal Artifact Reduction in X-ray Computed Tomography
Unlocking the Potential of Early Epochs: Uncertainty-aware CT Metal Artifact Reduction
Solving Energy-Independent Density for CT Metal Artifact Reduction via Neural Representation
MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images
Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
Neural Representation-Based Method for Metal-induced Artifact Reduction in Dental CBCT Imaging
Dense Transformer based Enhanced Coding Network for Unsupervised Metal Artifact Reduction
Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT Images
RetinexFlow for CT metal artifact reduction
Orientation-Shared Convolution Representation for CT Metal Artifact Learning
Metal-conscious Embedding for CBCT Projection Inpainting
TriDoNet: A Triple Domain Model-driven Network for CT Metal Artifact Reduction
Metal Inpainting in CBCT Projections Using Score-based Generative Model
Deep learning based projection domain metal segmentation for metal artifact reduction in cone beam computed tomography
Quad-Net: Quad-domain Network for CT Metal Artifact Reduction
Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
Metal Artifact Reduction with Intra-Oral Scan Data for 3D Low Dose Maxillofacial CBCT Modeling
A Metal Artifact Reduction Scheme For Accurate Iterative Dual-Energy CT Algorithms
InDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact Reduction in CT Images
View-Consistent Metal Segmentation in the Projection Domain for Metal Artifact Reduction in CBCT -- An Investigation of Potential Improvement
Metal Artifact Reduction in 2D CT Images with Self-supervised Cross-domain Learning
InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction
Inner-ear Augmented Metal Artifact Reduction with Simulation-based 3D Generative Adversarial Networks
IDOL-Net: An Interactive Dual-Domain Parallel Network for CT Metal Artifact Reduction
U-DuDoNet: Unpaired dual-domain network for CT metal artifact reduction
DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction
Learning-Based Patch-Wise Metal Segmentation with Consistency Check
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images
Low-dimensional Manifold Constrained Disentanglement Network for Metal Artifact Reduction
Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN
X-ray Photon-Counting Data Correction through Deep Learning
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.