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Found 4 papers, 2 papers with code
Unsupervised shape and motion analysis of 3822 cardiac 4D MRIs of UK Biobank
First, with a feature extraction method previously published based on deep learning models, we extract from each case 9 feature values characterizing both the cardiac shape and motion.
Explainable cardiac pathology classification on cine MRI with motion characterization by semi-supervised learning of apparent flow
We propose a method to classify cardiac pathology based on a novel approach to extract image derived features to characterize the shape and motion of the heart.
3D Consistent & Robust Segmentation of Cardiac Images by Deep Learning with Spatial Propagation
We propose a method based on deep learning to perform cardiac segmentation on short axis MRI image stacks iteratively from the top slice (around the base) to the bottom slice (around the apex).
3D Consistent Biventricular Myocardial Segmentation Using Deep Learning for Mesh Generation
We present a novel automated method to segment the myocardium of both left and right ventricles in MRI volumes.
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