We introduce a new method for segmentation of 3D medical data based on geometric variational principles. A minimal variance criterion is coupled with a geometric edge alignment mea...
Michal Holtzman-Gazit, Dorith Goldsher, Ron Kimmel
We present a novel method of statistical surface-based morphometry based on the use of non-parametric permutation tests. In order to evaluate morphologicaldifferences of brain str...
Dimitrios Pantazis, Richard M. Leahy, Thomas E. Ni...
We propose a novel Bayesian learning framework of hierarchical mixture model by incorporating prior hierarchical knowledge into concept representations of multi-level concept struc...
Spatial region (image) segmentation is a fundamental step for many computer vision applications. Although many methods have been proposed, less work has been done in developing sui...
Lutz Goldmann, Tomasz Adamek, Peter Vajda, Mustafa...
Animal development can be described as a complex, threedimensional cellular system that changes dramatically across time as a consequence of cell proliferation, differentiation an...
Stephan Preibisch, Radoslaw Ejsmont, Torsten Rohlf...