This article reviews recent advances in intelligent robotic ultrasound imaging systems. We
begin by presenting the commonly employed robotic mechanisms and control techniques in …

Artificial intelligence applications have shown success in different medical and health care
domains, and cardiac imaging is no exception. However, some machine learning models …

Deep learning (DL) methods where interpretability is intrinsically considered as part of the
model are required to better understand the relationship of clinical and imaging-based …

Left-ventricular ejection fraction (LVEF) is an important indicator of heart failure. Existing
methods for LVEF estimation from video require large amounts of annotated data to achieve …

Echocardiography is a very important medical examination that helps in the computation of
critical heart functions. Boundary identification, segmentation and estimation of the volume …

Echocardiography is an essential examination for cardiac disease diagnosis, from which
anatomical structures segmentation is the key to assessing various cardiac functions …

Automated segmentation is a challenging task in medical image analysis that usually
requires a large amount of manually labeled data. However, most current supervised …

Color Doppler echocardiography is a widely used noninvasive imaging modality that
provides real-time information about intracardiac blood flow. In an apical long-axis view of …

We propose a novel echocardiographical video segmentation model by adapting SAM to
medical videos to address some long-standing challenges in ultrasound video segmentation …

Automatic segmentation of left ventricular endocardium in echocardiography videos is
critical for assessing various cardiac functions and improving the diagnosis of cardiac …