220 citations · 296 across the 22 of their papers we have counts for
9 papers · 1 filter
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…
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)…
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…
NL-CS Net: Deep Learning with Non-Local Prior for Image Compressive Sensing
Shuai Bian, Shouliang Qi, Chen Li +2
Deep learning has been applied to compressive sensing (CS) of images successfully in recent years. However, existing network-based methods are often trained as the black box, in wh…
Subspace Nonnegative Matrix Factorization for Feature Representation
Junhang Li, Jiao Wei, Can Tong +6
Traditional nonnegative matrix factorization (NMF) learns a new feature representation on the whole data space, which means treating all features equally. However, a subspace is of…
Entropy Regularized Iterative Weighted Shrinkage-Thresholding Algorithm (ERIWSTA): An Application to CT Image Restoration
Bingxue Wu, Jiao Wei, Chen Li +2
The iterative weighted shrinkage-thresholding algorithm (IWSTA) has shown superiority to the classic unweighted iterative shrinkage-thresholding algorithm (ISTA) for solving linear…
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…
EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation
Hechen Yang, Chen Li, Xin Zhao +10
The Environmental Microorganism Image Dataset Seventh Version (EMDS-7) is a microscopic image data set, including the original Environmental Microorganism images (EMs) and the corr…