Aortic pathologies are numerous, presenting manifestations are varied, and aortic diseases
present to many clinical services, including primary physicians, emergency department …

Cardiovascular disease (CVD) is the leading single cause of morbidity and mortality,
causing over 17. 9 million deaths worldwide per year with associated costs of over $800 …

Cardiac magnetic resonance (CMR) has become an essential tool for the evaluation of
patients affected or at risk of developing cardiomyopathies (CMPs). In fact, CMR not only …

Good quality of medical images is a prerequisite for the success of subsequent image
analysis pipelines. Quality assessment of medical images is therefore an essential activity …

Of the clinical practice guideline of the Japanese Circulation Society concerning aortic
diseases, the Guidelines on Diagnosis and Treatment of Aortic Dissection (first edition) were …

Segmenting anatomical structures in medical images has been successfully addressed with
deep learning methods for a range of applications. However, this success is heavily …

The success of neural networks on medical image segmentation tasks typically relies on
large labeled datasets for model training. However, acquiring and manually labeling a large …

From the aOxford Centre for Clinical Magnetic Resonance Research, Division of
Cardiovascular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford …

Purpose In this paper, we proposed a Denoising Super-resolution Generative Adversarial
Network (DnSRGAN) method for high-quality super-resolution reconstruction of noisy …

A key advantage of cardiac magnetic resonance (CMR) imaging over other cardiac imaging
modalities is the ability to perform detailed tissue characterization. CMR techniques continue …