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An Algorithm for Learning Shape and Appearance Models without Annotations
This paper presents a framework for automatically learning shape and appearance models for medical (and certain other) images.
Diffeomorphic brain shape modelling using Gauss-Newton optimisation
Shape modelling describes methods aimed at capturing the natural variability of shapes and commonly relies on probabilistic interpretations of dimensionality reduction techniques such as principal component analysis.
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