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MICCAI
2009
Springer
15 years 4 months ago
Conditional Variability of Statistical Shape Models Based on Surrogate Variables
We propose to increment a statistical shape model with surrogate variables such as anatomical measurements and patient-related information, allowing conditioning the shape distribu...
Rémi Blanc, Mauricio Reyes, Christof Seiler...
ICIP
2005
IEEE
15 years 3 months ago
Atlas-based segmentation of medical images locally constrained by level sets
Atlas-based segmentation has become a standard paradigm for exploiting prior knowledge in medical image segmentation. In this paper, we propose a method to exploit both the robust...
Valerie Duay, Nawal Houhou, Jean-Philippe Thiran
CVPR
2004
IEEE
15 years 11 months ago
A Graphical Model Framework for Coupling MRFs and Deformable Models
This paper proposes a new framework for image segmentation based on the integration of MRFs and deformable models using graphical models. We first construct a graphical model to r...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
CVPR
2005
IEEE
15 years 11 months ago
Particle Filtering for Geometric Active Contours with Application to Tracking Moving and Deforming Objects
Geometric active contours are formulated in a manner which is parametrization independent. As such, they are amenable to representation as the zero level set of the graph of a hig...
Yogesh Rathi, Namrata Vaswani, Allen Tannenbaum, A...
PAMI
2006
243views more  PAMI 2006»
14 years 9 months ago
Dynamical Statistical Shape Priors for Level Set-Based Tracking
In recent years, researchers have proposed to introduce statistical shape knowledge into level set based segmentation methods in order to cope with insufficient low-level informati...
Daniel Cremers