Many clinical applications based on deep learning and pertaining to radiology have been
proposed and studied in radiology for classification, risk assessment, segmentation tasks …

As one of the most popular approaches in artificial intelligence, deep learning (DL) has
attracted a lot of attention in the medical physics field over the past few years. The goals of …

MRI and CT are most widely used medical imaging modalities. It is often necessary to
acquire multi-modality images for diagnosis and treatment such as radiotherapy planning …

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 …

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 …

Background Cervical cancer is the fifth most common cancer among women, which is the
third leading cause of cancer death in women worldwide. Brachytherapy is the most effective …

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 …

Emerging neural reconstruction techniques based on tomography (eg, NeRF, NeAT, and
NeRP) have started showing unique capabilities in medical imaging. In this work, we …

Objectives The susceptibility of CT imaging to metallic objects gives rise to strong streak
artefacts and skewed information about the attenuation medium around the metallic …

This report presents an overview of how machine learning is rapidly advancing clinical
translational imaging in ways that will aid in the early detection, prediction, and treatment of …