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cs.CV2026
UniH: Unifying Hierarchical Homogeneity and Heterogeneity for All-in-One Medical Image Restoration
Zhiwen Yang, Jiayin Li, Chengyu Liu +3
All-in-One medical image restoration (MedIR) aims to address diverse tasks across modalities and degradation types using a single universal model. Existing methods typically priori…
cs.CV2026
U-TTT: Towards Generalizable PET Image Denoising via Test-Time Training
Zhiwen Yang, Jiayin Li, Hao Lu +3
Existing deep learning models for Positron Emission Tomography (PET) image denoising often suffer from severe performance degradation under distribution shifts, fundamentally restr…