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» Training Deformable Models for Localization
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ECCV
2004
Springer
14 years 1 months ago
A 2D Fourier Approach to Deformable Model Segmentation of 3D Medical Images
Anatomical shapes present a unique problem in terms of accurate representation and medical image segmentation. Three-dimensional (3D) statistical shape models have been extensivel...
Eric Berg, Mohamed Mahfouz, Christian Debrunner, W...
IPMI
2003
Springer
14 years 1 months ago
Neighbor-Constrained Segmentation with 3D Deformable Models
A novel method for the segmentation of multiple objects from 3D medical images using inter-object constraints is presented. Our method is motivated by the observation that neighbor...
Jing Yang, Lawrence H. Staib, James S. Duncan
MICCAI
2008
Springer
14 years 9 months ago
LV Motion and Strain Computation from tMRI Based on Meshless Deformable Models
Tagged Magnetic Resonance Imaging (tMRI) is a non-invasive way of tracking the in-vivo myocardial motion during cardiac cycles. Tags are material points which deform along the myo...
Xiaoxu Wang, Ting Chen, Shaoting Zhang, Dimitri...
FBIT
2007
IEEE
14 years 2 months ago
An Efficient Soft Tissue Characterization Method for Haptic Rendering of Soft Tissue Deformation in Medical Simulation
The modeling of soft tissue behavior is essential in haptic rendering for virtual reality based medical simulators, which provide a safe and objective medium for training medical ...
Bummo Ahn, Jung Kim
PRL
2006
129views more  PRL 2006»
13 years 8 months ago
Learning spatial relations in object recognition
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
Thang V. Pham, Arnold W. M. Smeulders