3 papers
cs.CV2026
Progressive -Invariant Self-supervised Learning for Low-Dose CT Denoising
Yichao Liu, Zongru Shao, Yueyang Teng +1
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)…
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
Hybrid Swin Attention Networks for Simultaneously Low-Dose PET and CT Denoising
Yichao Liu, Hengzhi Xue, YueYang Teng +1
Low-dose computed tomography (LDCT) and positron emission tomography (PET) have emerged as safer alternatives to conventional imaging modalities by significantly reducing radiation…