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cs.CV2026
AnF-DiffPET: Anatomy- and Frequency-Guided Diffusion for PET/CT Denoising
Xuepeng Liu, Ruili Li, Zetong Liu +5
Positron emission tomography (PET) provides essential functional information for disease assessment, however reducing injected activity or acquisition time produces low-dose (LD) P…
cs.CV2026
Rethinking Cross-Dose PET Denoising: Mitigating Averaging Effects via Residual Noise Learning
Yichao Liu, Zongru Shao, Yueyang Teng +1
Cross-dose denoising for low-dose positron emission tomography (LDPET) has been proposed to address the limited generalization of models trained at a single noise level. However, n…
cs.CV2026
Progressive Masked Refinement Self-supervised Learning for Low-Dose CT Denoising
Yichao Liu, Zongru Shao, Rui Wen +2
Self-supervised learning has been increasingly investigated for low-dose computed tomography (LDCT) image denoising, as it alleviates the dependence on paired normal-dose CT (NDCT)…