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» An Adaptive Level Set Method for Medical Image Segmentation
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ISBI
2004
IEEE
15 years 10 months ago
Brain Warping with Implicit Representations
In this paper, a new framework for brain warping via landmark matching is proposed using implicit representations or the level set method. We demonstrate this powerful technique b...
Alexia Leow, Paul M. Thompson, Hillary Protas, Sun...
IPMI
2007
Springer
15 years 10 months ago
Regional Appearance in Deformable Model Segmentation
Automated medical image segmentation is a challenging task that benefits from the use of effective image appearance models. In this paper, we compare appearance models at three reg...
Joshua Stough, Robert E. Broadhurst, Stephen M. Pi...
ICCV
2003
IEEE
15 years 11 months ago
How To Deal with Point Correspondences and Tangential Velocities in the Level Set Framework
In this paper, we overcome a major drawback of the level set framework: the lack of point correspondences. We maintain explicit backward correspondences from the evolving interfac...
Jean-Philippe Pons, Gerardo Hermosillo, Renaud Ker...
MICCAI
2005
Springer
15 years 10 months ago
A Unifying Approach to Registration, Segmentation, and Intensity Correction
We present a statistical framework that combines the registration of an atlas with the segmentation of magnetic resonance images. We use an Expectation Maximization-based algorithm...
Kilian M. Pohl, John W. Fisher III, James J. Levit...
PAMI
2006
181views more  PAMI 2006»
14 years 9 months ago
Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach
Efficient segmentation of globally optimal surfaces representing object boundaries in volumetric data sets is important and challenging in many medical image analysis applications....
Kang Li, Xiaodong Wu, Danny Z. Chen, Milan Sonka