This paper addresses the problem of creating probabilistic brain atlases from manually labeled training data. We propose a general mesh-based atlas representation, and compare diff...
Abstract. Shape correspondence is the foundation for accurate statistical shape analysis; this is usually accomplished by identifying a set of sparsely sampled and well-corresponde...
This paper introduces a new benchmark study of evaluating landmark-based shape correspondence used for statistical shape analysis. Different from previous shape-correspondence eval...
Shape comparisons of two groups of objects often have two goals: to create a classifier to separate the groups and to provide information that shows differences between classes. We...
Samson J. Timoner, Polina Golland, Ron Kikinis, Ma...
Abstract. This paper describes the construction of 3D dynamic statistical deformable models for complex topological shapes. It significantly extents the existing framework in that ...