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
In this paper, we propose a hybrid similarity measure for 2D-3D image registration that is a weighted combination of an intensitybased image similarity measure and a point-based me...
Daniel B. Russakoff, Torsten Rohlfing, Ramin Shahi...
We present a method for estimating the 3-D structure of the cortical surface using an operating microscope whose binocular optics are fitted with two CCD cameras. The cortical surf...
Hai Sun, Hany Farid, Kyle Rick, Alex Hartov, David...
In this paper we introduce user-defined segmentation constraints within the level set methods. Snake-driven methods are powerful and widely explored techniques for object extractio...
This paper concerns a method to automatically detect drusen in a retinal image without human supervision or interaction. We use a multi-level approach, beginning with classificatio...