https://github.com/deepxuan/dudodp-mar
공식 코드Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
Papers with Code 아카이브
Metal Artifact Reduction
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Metal artifact reduction aims to remove the artifacts introduced by metallic implants in CT images.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hongwang01/ACDNet
공식 코드Adaptive Convolutional Dictionary Network for CT Metal Artifact Reduction
https://github.com/hongwang01/indudonet
공식 코드InDuDoNet: An Interpretable Dual Domain Network for CT Metal Artifact Reduction
https://github.com/hongwang01/indudonet_plus
공식 코드InDuDoNet+: A Deep Unfolding Dual Domain Network for Metal Artifact Reduction in CT Images
https://github.com/hongwang01/mepnet
공식 코드https://github.com/hongwang01/oscnet
공식 코드Orientation-Shared Convolution Representation for CT Metal Artifact Learning
https://github.com/iwuqing/polyner
공식 코드Unsupervised Polychromatic Neural Representation for CT Metal Artifact Reduction
https://github.com/liaohaofu/adn
공식 코드Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
https://github.com/longzilicart/quad-net
공식 코드Quad-Net: Quad-domain Network for CT Metal Artifact Reduction
https://github.com/masaaki-75/rise-mar
공식 코드Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact Reduction
https://github.com/mughanibu/DeepMAR
공식 코드Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep Learning
https://github.com/zjk1988/DAN-Net
공식 코드DAN-Net: Dual-Domain Adaptive-Scaling Non-local Network for CT Metal Artifact Reduction
https://github.com/ruanyuhui/adn-qsdl
ADN: Artifact Disentanglement Network for Unsupervised Metal Artifact Reduction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.