Machine learning (ML) methods are pervading an increasing number of fields of application
because of their capacity to effectively solve a wide variety of challenging problems. The …

Recovering the 3D motion of the heart from cine cardiac magnetic resonance (CMR)
imaging enables the assessment of regional myocardial function and is important for …

We present a novel multimodal deep learning framework for cardiac resynchronisation
therapy (CRT) response prediction from 2D echocardiography and cardiac magnetic …

Abstract 3D motion estimation from cine cardiac magnetic resonance (CMR) images is
important for the assessment of cardiac function and diagnosis of cardiovascular diseases …

Purpose. This study aims to develop and validate a multi-view learning method by the
combination of primary tumor radiomics and lymph node (LN) radiomics for the preoperative …

Background and objective: Abnormalities of the heart motion reveal the presence of a
disease. However, a quantitative interpretation of the motion is still a challenge due to the …

Image-based food and ingredient recognition have important application value for health
Information and healthy diet recommendations. However, most current approaches classify …

Zusammenfassung Klinisches/methodisches Problem Kardiale Erkrankungen sind weltweit
die führende Todesursache. Viele Erkrankungen können gezielt behandelt werden, sobald …

The morbidity and mortality associated with cardiovascular disease has steadily decreased
owing to advances in patient care. Nevertheless, it prevails as the world's leading cause of …

El diagnóstico asistido por ordenador de enfermedades cardiovasculares (CVD) con
resonancia magnética cardíaca (CMR) es un campo importante de investigación para el …