DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising

24 August 2021

Papers citing "DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising"

6 / 6 papers shown

Title
MVMS-RCN: A Dual-Domain Unfolding CT Reconstruction with Multi-sparse-view and Multi-scale Refinement-correction Xiaohong Fan Ke-long Chen Huaming Yi Yin Yang Jianping Zhang 41 0 0 27 May 2024
Multi-Scale Texture Loss for CT denoising with GANs Francesco Di Feola L. Tronchin V. Guarrasi Paolo Soda MedIm 26 2 0 25 Mar 2024
Learn From Orientation Prior for Radiograph Super-Resolution: Orientation Operator Transformer Y. Huang Tomo Miyazaki Xiaofeng Liu Kaiyuan Jiang Zhengmi Tang S. Omachi MedIm 26 1 0 27 Dec 2023
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization Q. Gao Zilong Li Junping Zhang Yi Zhang Hongming Shan DiffM MedIm 27 49 0 04 Apr 2023
LIT-Former: Linking In-plane and Through-plane Transformers for Simultaneous CT Image Denoising and Deblurring Zhihao Chen Chuang Niu Qi Gao Ge Wang Hongming Shan MedIm ViT 3DV 36 20 0 21 Feb 2023
Transforming Image Generation from Scene Graphs Renato Sortino S. Palazzo C. Spampinato ViT 29 2 0 01 Jul 2022