Titlebook: Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges; Third International Oscar Camara,Tommaso Mans

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Landmark Detection in Cardiac MRI Using Learned Local Image Statisticsned using morphological operations and graph cut segmentation. The final landmarks are determined using random forests (RF) classifiers which were trained on low level features derived from the neighborhood of annotated landmarks on training images. We use features like intensity, texture, shape asy

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Computational and Physical Phantom Setups for the Second Cardiac Motion Analysis Challenge (cMAC2)a repository for the benchmark of motion and strain quantification algorithms on 3D ultrasound images. The data currently includes synthetic images that combine ultrasound and biomechanical simulators. We also collected sonomicrometry curves and ultrasound images acquired on a Polyvinyl alcohol phan

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Temporal Diffeomorphic Free Form Deformation to Quantify Changes Induced by Left and Right Bundle Brlied the Temporal Diffeomorphic Free Form Deformation (TDFFD) algorithm to the datasets. This algorithm builds upon a diffeomorphic version of the FFD, to provide a 3. + . continuous and differentiable transform. The similarity metric includes a comparison between consecutive images, and between a r

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