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TauPETGen: Text-Conditional Tau PET Image Synthesis Based on Latent Diffusion Models
Preliminary experimental results based on clinical [18F]MK-6240 datasets demonstrate the feasibility of the proposed method in generating realistic tau PET images at different clinical stages.
PET image denoising based on denoising diffusion probabilistic models
Regional and surface quantification shows that employing MR prior as the network input while embedding PET image as a data-consistency constraint during inference can achieve the best performance.
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