Xènia Albà

TL;DR: The benchmarking evaluation framework can be used to test and benchmark future algorithms that detect and quantify infarct in LGE CMR images of the LV, with the exception of the Full-Width-at-Half-Maximum (FWHM) fixed-thresholding method.

TL;DR: A challenge to test shape characterization in MI given a set of three-dimensional left ventricular surface points to establish a common dataset and test whether statistical shape modeling provides additional information characterizing MI patients over standard clinical measures.

TL;DR: A fully automatic method for initializing cardiac MRI segmentation is proposed by using image features and random forests regression to predict an initial position of the heart and key anatomical landmarks in an MRI volume, and a quality control measure capable of identifying incorrect cardiac segmentations with no visual assessment is introduced.

TL;DR: This paper presents and evaluates a cardiac magnetic resonance (CMR) image analysis pipeline that properly scales up and can provide a fully automatic analysis of the UKB CMR study, and provides 3D anatomical bi-ventricular models of the heart.

TL;DR: In this paper, a decoupled, modified graph cut approach with control points was proposed to automatically segment the left ventricle myocardium using intensity information and shape and interslice smoothness constraints.