Motion analysis is used in computer vision to understand the behaviour of moving objects in
sequences of images. Optimizing the interpretation of dynamic biological systems requires …

Abstract Machine learning promises to assist physicians with predictions of mortality and of
other future clinical events by learning complex patterns from historical data, such as …

Abstract Machine learning analysis of biomedical images has seen significant recent
advances. In contrast, there has been much less work on medical videos, despite the fact …

Sudden cardiac death from arrhythmia is a major cause of mortality worldwide. In this study,
we developed a novel deep learning (DL) approach that blends neural networks and …

Abstract Background and Objective: Survival prediction of heart failure patients is critical to
improve the prognostic management of the cardiovascular disease. The existing survival …

Cardiac motion estimation and segmentation play important roles in quantitatively assessing
cardiac function and diagnosing cardiovascular diseases. In this paper, we propose a novel …

Despite progressive improvements over the decades, the rich temporally resolved data in an
echocardiogram remain underutilized. Human assessments reduce the complex patterns of …

Accurate assessment of cardiac function is crucial for the diagnosis of cardiovascular
disease, screening for cardiotoxicity and decisions regarding the clinical management of …

Advances in technology have always had the potential and opportunity to shape the practice
of medicine, and in no medical specialty has technology been more rapidly embraced and …

Gastric cancer and Colon adenocarcinoma represent widespread and challenging
malignancies with high mortality rates and complex treatment landscapes. In response to the …