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Found 2 papers, 2 papers with code
Unsupervised CT Metal Artifact Reduction by Plugging Diffusion Priors in Dual Domains
In this paper, we propose an unsupervised MAR method based on the diffusion model, a generative model with a high capacity to represent data distributions.
Diffusion Probabilistic Priors for Zero-Shot Low-Dose CT Image Denoising
The results demonstrate that our method outperforms the state-of-the-art unsupervised method and surpasses several supervised deep learning-based methods.
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