In recent years, there have been multiple advances in positron emission
tomography/computed tomography (PET/CT) that improve cancer imaging. The present …

It is known that metal artifacts can be reduced by modifying standard acquisition and
reconstruction, by modifying projection data and/or image data and by using virtual …

In the presence of metal implants, metal artifacts are introduced to x-ray computed
tomography CT images. Although a large number of metal artifact reduction (MAR) methods …

The image biomarker standardisation initiative (IBSI) is an independent international
collaboration which works towards standardising the extraction of image biomarkers from …

Computed tomography (CT) has been widely used for medical diagnosis, assessment, and
therapy planning and guidance. In reality, CT images may be affected adversely in the …

Current deep neural network based approaches to computed tomography (CT) metal artifact
reduction (MAR) are supervised methods that rely on synthesized metal artifacts for training …

Filtered back projection (FBP) is the most widely used method for image reconstruction in X-
ray computed tomography (CT) scanners, and can produce excellent images in many cases …

We propose an approach based on a conditional generative adversarial network (cGAN) for
the reduction of metal artifacts (RMA) in computed tomography (CT) ear images of cochlear …

A significant and increasing number of patients receiving radiation therapy present with
metal objects close to, or even within, the treatment area, resulting in artifacts in computed …

Accurate tooth segmentation is an essential step for reconstructing the three-dimensional
tooth models used in various clinical applications. In this paper, we propose a convolutional …