An image quality matrix provides a significant principle for objectively observing an image
based on an alteration between the original and distorted images. During the past two …

Artificial Intelligence (AI) is a broad discipline of computer science and engineering. Modern
application of AI encompasses intelligent models and algorithms for automated data …

Noise is inherent to low-dose CT acquisition. We propose to train a convolutional neural
network (CNN) jointly with an adversarial CNN to estimate routine-dose CT images from low …

Low-dose computed tomography (LDCT) has offered tremendous benefits in radiation-
restricted applications, but the quantum noise as resulted by the insufficient number of …

The wide applications of X-ray computed tomography (CT) bring low-dose CT (LDCT) into a
clinical prerequisite, but reducing the radiation exposure in CT often leads to significantly …

Purpose In recent years, health risks concerning high‐dose x‐ray radiation have become a
major concern in dental computed tomography (CT) examinations. Therefore, adopting low …

To reduce the potential risk of radiation to the patient, low-dose computed tomography
(LDCT) has been widely adopted in clinical practice for reconstructing cross-sectional …

To suppress noise and artifacts caused by the reduced radiation exposure in low-dose
computed tomography, several deep learning (DL)-based image restoration methods have …

How to reduce radiation dose while preserving the image quality as when using standard
dose is an important topic in the computed tomography (CT) imaging domain because the …

Low-dose computed tomography (LDCT) has attracted significant attention in the domain of
medical imaging due to the inherent risks of normal-dose computed tomography (NDCT) …