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» Evaluating Modelling Approaches for Medical Image Annotation...
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MICCAI
2010
Springer
14 years 8 months ago
Cardiac Motion Estimation Using a ProActive Deformable Model: Evaluation and Sensitivity Analysis
To regularize cardiac motion recovery from medical images, electromechanical models are increasingly popular for providing a priori physiological motion information. Although these...
Ken C. L. Wong, Florence Billet, Tommaso Mansi, Ra...
MICCAI
2003
Springer
15 years 10 months ago
Three-Dimensional Segmentation of Brain Aneurysms in CTA Using Non-parametric Region-Based Information and Implicit Deformable M
Abstract. Knowledge of brain aneurysm dimensions is essential in minimally invasive surgical interventions using Guglielmi Detachable Coils. These parameters are obtained in clinic...
Monica Hernandez, Alejandro F. Frangi, Guillermo S...
MICCAI
2007
Springer
15 years 10 months ago
Statistical Shape Modeling Using MDL Incorporating Shape, Appearance, and Expert Knowledge
Abstract. We propose a highly automated approach to the point correspondence problem for anatomical shapes in medical images. Manual landmarking is performed on a small subset of t...
Aaron D. Ward, Ghassan Hamarneh
MICCAI
2005
Springer
15 years 10 months ago
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker,...
MICCAI
2003
Springer
15 years 10 months ago
Geostatistical Medical Image Registration
Abstract. We propose a novel approach to landmark-based medical image registration based on the geostatical method of Kriging prediction. Our method exploits the spatial statistica...
Carl-Fredrik Westin, Carlos Alberola-López,...