The left ventricular of ejection fraction is one of the most important metric of cardiac function.
It is used by cardiologist to identify patients who are eligible for life-prolonging therapies …

Cardiac ultrasound imaging is used to diagnose various heart diseases. Common analysis
pipelines involve manual processing of the video frames by expert clinicians. This suffers …

Accurate LVEF measurement is important in clinical practice as it identifies patients who may
be in need of life-prolonging treatments. This paper presents a deep learning based …

Learning spatiotemporal features is an important task for efficient video understanding
especially in medical images such as echocardiograms. Convolutional neural networks …

In the fight of heart disease (the# 1 global killer), Left ventricular ejection fraction (EF)
calculated via echocardiography plays crucial role for disease diagnosis and treatment …

Right ventricular ejection fraction (RVEF) is an important indicator of cardiac function and
has a well-established prognostic value. In scenarios where imaging modalities capable of …

BACKGROUND Left ventricular ejection fraction calculation automation typically requires
complex algorithms and is dependent of optimal visualization and tracing of endocardial …

Accurate left ventricular (LV) ejection fraction (LVEF) assessment is essential for diagnosing
and managing many medical conditions, including heart failure, myocardial infarction …

Cardiovascular diseases are the leading cause of death worldwide. These diseases are
related with a broad range of factors but usually show high correlation with diminished left …

Deep learning (DL) has been applied for automatic left ventricle (LV) ejection fraction (EF)
measurement, but the diagnostic performance was rarely evaluated for various phenotypes …