Artificial intelligence (AI) has the potential to bring transformative improvements to the field of
radiology; yet, there are barriers to widespread clinical adoption. One of the most important …

Cardiac motion estimation is important for assessing the contractile health of the heart, and
performing this in 3D can provide advantages due to the complex 3D geometry and motions …

Transthoracic Echocardiography (TTE) is a crucial tool for assessing cardiac morphology
and function quickly and non-invasively without ionising radiation. However, the …

Three-dimensional echocardiography (3D ECHO) and magnetic resonance (MR) imaging
are frequently used in patients and animals to evaluate heart functions. Inverse finite …

Cardiac anatomy segmentation is essential for clinical assessment of cardiac function and
disease diagnosis to inform treatment and intervention. In performing segmentation, deep …

Echocardiography is a key tool for the diagnosis of cardiac diseases, and accurate left
ventricular (LV) segmentation in echocardiographic videos is crucial for the assessment of …

Mesh reconstruction of the cardiac anatomy from medical images is useful for shape and
motion measurements and biophysics simulations to facilitate the assessment of cardiac …

Congenital heart disease (CHD) is the most prevalent congenital ailment. One in every four
newborns born with serious coronary artery disease will require surgery or other early …

Large amounts of labelled data are typically needed to develop robust deep learning
methods for medical image analysis. However, issues related to the high costs of …

Echocardiography motion estimation is essential for clinical cardiac health assessments,
such as myocardial strain and ejection fraction. Attaining reliable performance with deep …