LEAP: Learning embeddings for atlas propagation


We propose a novel framework for the automatic propagation of a set of manually labeled brain atlases to a diverse set of images of a population of subjects. A manifold is learned from a coordinate system embedding that allows the identification of neighborhoods which contain images that are similar based on a chosen criterion. Within the new coordinate… (More)
DOI: 10.1016/j.neuroimage.2009.09.069


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