Continuous advances in imaging technologies enable ever more comprehensive
phenotyping of human anatomy and physiology. Concomitant reduction of imaging costs …

A collaborative framework was initiated to establish a community resource of ground truth
segmentations from cardiac MRI. Multi-site, multi-vendor cardiac MRI datasets comprising …

Abstract Purpose of Review Anatomical segmentation has played a major role within clinical
cardiology. Novel techniques through artificial intelligence-based computer vision have …

The trend towards large-scale studies including population imaging poses new challenges
in terms of quality control (QC). This is a particular issue when automatic processing tools …

Automatic segmentation of cardiac MRI is an important but challenging task in clinical study
of cardiac morphology. Recently, fusing segmentations from multiple classifiers has been …

Background The trend towards large-scale studies including population imaging poses new
challenges in terms of quality control (QC). This is a particular issue when automatic …

Purpose Magnetic resonance imaging (MRI), specifically late‐enhanced MRI, is the
standard clinical imaging protocol to assess cardiac viability. Segmentation of myocardial …

In this paper, we develop a framework for the automatic detection and segmentation of the
ventricle and myocardium from multi-slice, short-axis cine MR images. The segmentation …

With an increasing number of large-scale population-based cardiac magnetic resonance
(CMR) imaging studies being conducted nowadays, there comes the mammoth task of …

Segmentation of cardiac anatomical structures in cardiac magnetic resonance images
(CMRI) is a prerequisite for automatic diagnosis and prognosis of cardiovascular diseases …