3 papers
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.CV2025
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…
cs.CV2023
Graph Context Transformation Learning for Progressive Correspondence Pruning
Junwen Guo, Guobao Xiao, Shiping Wang +1
Most of existing correspondence pruning methods only concentrate on gathering the context information as much as possible while neglecting effective ways to utilize such informatio…