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Author

Li Liu

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Conference Aug 2026

Low-count PET image denoising based on VQVAE: evaluation on total-body datasets

Enhancing the quality of low-count positron emission tomography (PET) images is clinically significant. This study aims to produce high-quality results from low-count total-body PET images using generative deep learning methods for image denoising. This work proposed a new generative model, which integrates attention m...

Yuru He, Xuying Han, Cheng-Kai Wu et al. · 0 citations
Conference Aug 2026

HierDiff: hierarchical saliency-guided diffusion for template synthesis

HierDiff is proposed, a novel saliency-guided diffusion framework that unifies spatial structure and semantic consistency to enable controllable template generation without requiring costly fine-tuning of the underlying UNet.

Guangwu Liu, Li Liu, Jibin Liang · 0 citations

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