Research into artificial intelligence (AI) has made tremendous progress over the past
decade. In particular, the AI-powered analysis of images and signals has reached human …

Cardiovascular magnetic resonance (CMR) has become a key imaging modality in clinical
cardiology practice due to its unique capabilities for non-invasive imaging of the cardiac …

Background Preservation and improvement of heart and vessel health is the primary
motivation behind cardiovascular disease (CVD) research. Development of advanced …

Image registration has been used for a wide variety of tasks within cardiovascular imaging.
This study aims to provide an overview of the existing image registration methods to assist …

Segmentation of the left ventricle from cardiac magnetic resonance images (MRI) is an
essential step to quantitatively analyze global and regional cardiac function. The aim of this …

Left ventricle segmentation in short-axis cardiac magnetic resonance images is important to
diagnose heart disease. However, repetitive manual segmentation of these images requires …

An efficient approach to dynamically reconstruct region of interest (ROI) on a beating heart
from stereo-endoscopic video is developed. A ROI is first pre-reconstructed with a …

Introduction As the life expectancy of children with congenital heart disease (CHD) is rapidly
increasing and the adult population with CHD is growing, there is an unmet need to improve …

Heart disease diagnosis is a very hard task in the medical field, so the mortality rate is
increased every day. Also, the diagnosing process is implemented in recent times to predict …

We introduce a tool to build a surface mesh able to deal with sparse, heterogeneous, non-
parallel, cross-sectional, non-coincidental contours and show its application to reconstruct …