… Cardiac MRI is the most frequently segmented modality, which is due in part to the presence
of publically available, moderately sized, computer vision competition datasets. Further …

… and/or echocardiographic suspicion of cardiac amyloidosis and 2) confirmation of
amyloid disease by tissue biopsy, nuclear medicine scan, cardiac MRI, or genetic testing (transthyretin …

… Late gadolinium enhancement (LGE) cardiac magnetic resonance imaging (CMR) is
currently the only available tool for its non-invasive assessment. This plugin was developed to …

… (Contrast agent) in Cardiac MRI by computer vision techniques. The proposed work consists
… enhanced and non-contrast enhanced cardiac MRI which causes myocardial abnormalities …

… on computer vision in MRI (magnetic resonance imaging) is … The reason is that the same
computer vision technique may … with applications to cardiac magnetic resonance imaging data …

… Exploiting spatio-temporal information for view recognition in cardiac echo videos. In: 2008
IEEE Computer Society conference on computer vision and pattern recognition workshops. …

… The model was trained end to end in a supervised learning stage from whole cardiac MRI
images input and ground truth to make a per pixel classification. For its design, development …

… Network for Cardiac Segmentation architecture for pixel-wise labeling in cardiac MRI. The
… on a range of publicly available benchmark cardiac MRI datasets. Section 4 reports results …

… Landmark detection by using deep learning has not been extensively studied for CMR but
has been investigated for computer vision applications, such as facial key point detection (33,…

… Chamber segmentation from cardiac MRI datasets is an … myocardial segmentation approach
for cardiac MRI based on deep … Several recent studies in computer vision and pattern …