In recent years, cardiovascular diseases (CVDs) have become one of the leading causes of
mortality globally. At early stages, CVDs appear with minor symptoms and progressively get …

Background Intra‐scan rigid‐body motion is a costly and ubiquitous problem in clinical
magnetic resonance imaging (MRI) of the head. Purpose State‐of‐the‐art methods for …

Purpose This study proposed a novel retrospective motion reduction method named motion
artifact unsupervised disentanglement generative adversarial network (MAUDGAN) that …

Assessing and controlling the quality of medical data such as images, as well as AI-derived
parameters from these data, is an important component of clinical imaging and retrospective …

In this chapter the key concepts of artificial intelligence and machine learning are
introduced. The importance of first identifying and defining the right problem is emphasised …

In this chapter we will delve into the world of AI and machine learning in a bit more detail.
We will look at what issues we need to consider and what decisions we should make when …

While machine learning approaches perform well on their training domain, they generally
tend to fail in a real-world application. In cardiovascular magnetic resonance imaging …