Weakly Supervised Learning of Metric Aggregations for Deformable Image Registration
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2018.2869700
Abstract: Deformable registration has been one of the pillars of biomedical image computing. Conventional approaches refer to the definition of a similarity criterion that, once endowed with a deformation model and a smoothness constraint, determines the… read more here.
Keywords: registration; learning metric; image; weakly supervised ... See more keywords
Learning Metric Fields for Fast Low‐Distortion Mesh Parameterizations
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DOI: 10.1111/cgf.70061
Abstract: We present a fast and robust method for computing an injective parameterization with low isometric distortion for disk‐like triangular meshes. Harmonic function‐based methods, with their rich mathematical foundation, are widely used. Harmonic maps are particularly… read more here.
Keywords: fast low; fields fast; isometric distortion; distortion ... See more keywords