Search Results for author:
Found 4 papers, 1 papers with code
TC-DiffRecon: Texture coordination MRI reconstruction method based on diffusion model and modified MF-UNet method
We also suggest the incorporation of the MF-UNet module, designed to enhance the quality of MRI images generated by the model while mitigating the over-smoothing issue to a certain extent.
A Peer-to-peer Federated Continual Learning Network for Improving CT Imaging from Multiple Institutions
In this work, we propose a novel peer-to-peer federated continual learning strategy to improve low-dose CT imaging performance from multiple institutions.
Direct Energy-resolving CT Imaging via Energy-integrating CT images using a Unified Generative Adversarial Network
In this study, the present uGAN generates ErCT images at 70keV, 90keV, 110keV, and 130keV simultaneously from EiCT images at140kVp.
Generative Adversarial Network
Image-to-Image Translation
+1
Unsupervised/Semi-supervised Deep Learning for Low-dose CT Enhancement
To address this issue, we propose an unsupervised DL method for LdCT enhancement that incorporates unlabeled LdCT sinograms directly into the network training.
