Abstract. Analysis of shape variability is important for diagnostic classification and understanding of biological processes. We present a novel shape analysis approach based on a ...
Paul A. Yushkevich, Stephen M. Pizer, Sarang C. Jo...
Quantification and visualization of anatomical shape variability in different populations is essential for diagnosis and tracking progression of diseases. We present a new 3D med...
We propose to increment a statistical shape model with surrogate variables such as anatomical measurements and patient-related information, allowing conditioning the shape distribu...
Statistical shape modeling is a widely used technique for the representation and analysis of the shapes and shape variations present in a population. A statistical shape model mod...
We introduce Localized Components Analysis (LoCA) for describing surface shape variation in an ensemble of biomedical objects using a linear subspace of spatially localized shape c...
Dan A. Alcantara, Owen T. Carmichael, Eric Delson,...