423 citations · 430 across the 4 of their papers we have counts for
4 papers
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…
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)…
Global Attention Mechanism: Retain Information to Enhance Channel-Spatial Interactions
Yichao Liu, Zongru Shao, Nico Hoffmann
A variety of attention mechanisms have been studied to improve the performance of various computer vision tasks. However, the prior methods overlooked the significance of retaining…
NAM: Normalization-based Attention Module
Yichao Liu, Zongru Shao, Yueyang Teng +1
Recognizing less salient features is the key for model compression. However, it has not been investigated in the revolutionary attention mechanisms. In this work, we propose a nove…