Abstract Currently, coronavirus disease 2019 (COVID‐19) has not been contained. It is a
safe and effective way to detect infected persons in chest X‐ray (CXR) images based on …

Effective elimination of unique CT noise pattern while preserving adequate image quality is
crucial in reducing radiation dose to ultra-low-dose level in CT imaging practice. In this …

The coronavirus disease 2019 (COVID-19) is highly contagious and pathogenic, posing a
serious threat to the public safety of the people. Owing to the low resolution of computed …

Computed Tomography (CT) is an advanced imaging technology used in many important
applications. Here we present a deep-learning (DL) based CT super-resolution (SR) method …

Abstract X-ray Computed Tomography (CT) techniques play a vitally important role in clinical
diagnosis, but radioactivity exposure can also induce the risk of cancer for patients. Sparse …

Low-dose computed tomography (LDCT) helps to reduce radiation risks in CT scanning
while maintaining image quality, which involves a consistent pursuit of lower incident rays …

Super-resolution imaging is extensively deliberated in medical imaging modalities
nowadays, there being a wide panic on the effect of COVID-19 virus impression. Generally …

Coronavirus disease has rapidly spread globally since early January of 2020. With millions
of deaths, it is essential for an automated system to be utilized to aid in the clinical diagnosis …

The current mainstream computed tomography (CT) reconstruction methods based on deep
learning usually need to fix the scanning geometry and dose level, which significantly …

Background With the rapid development of deep learning technology, deep neural networks
can effectively enhance the performance of computed tomography (CT) reconstructions. One …