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» Shape Deformation: SVM Regression and Application to Medical...
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ICCV
2003
IEEE
14 years 6 months ago
Landmark-based Shape Deformation with Topology-Preserving Constraints
This paper presents a novel approach for landmarkbased shape deformation, in which fitting error and shape difference are formulated into a support vector machine (SVM) regression...
Song Wang, Jim Xiuquan Ji, Zhi-Pei Liang
IPMI
2005
Springer
14 years 5 months ago
Multi-object Segmentation Using Shape Particles
Deformable template models, in which a shape model and its corresponding appearance model are deformed to optimally fit an object in the image, have proven successful in many medic...
Marleen de Bruijne, Mads Nielsen
SCALESPACE
1999
Springer
13 years 9 months ago
Region Tracking on Surfaces Deforming via Level-Sets Methods
Since the work by Osher and Sethian on level-sets algorithms for numerical shape evolutions, this technique has been used for a large number of applications in numerous fields. In...
Marcelo Bertalmío, Guillermo Sapiro, Gregor...
ISBI
2006
IEEE
14 years 5 months ago
Group mean differences of voxel and surface objects via nonlinear averaging
Building of atlases representing average and variability of a population of images or of segmented objects is a key topic in application areas like brain mapping, deformable objec...
Shun Xu, Martin Andreas Styner, Brad Davis, Sarang...
ISBI
2006
IEEE
14 years 5 months ago
An evaluation of three approaches to tetrahedral mesh generation for deformable registration of brain MR images
In this paper we evaluate three conceptually different approaches to mesh generation for deformable Finite Element Method (FEM) registration of Magnetic Resonance (MR) images of b...
Andriy Fedorov, Nikos Chrisochoides, Ron Kikinis, ...