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MICCAI
2007
Springer
16 years 7 months ago
MCMC Curve Sampling for Image Segmentation
Abstract. We present an algorithm to generate samples from probability distributions on the space of curves. We view a traditional curve evolution energy functional as a negative l...
Ayres C. Fan, John W. Fisher III, William M. Wells...
MICCAI
2007
Springer
16 years 7 months ago
Active-Contour-Based Image Segmentation Using Machine Learning Techniques
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
Patrick Etyngier, Florent Ségonne, Renaud K...
MICCAI
2004
Springer
16 years 7 months ago
Three-Dimensional Shape-Motion Analysis of the Left Anterior Descending Coronary Artery in EBCT Images
In this paper, we present a physics-based deformable model framework for the quantification of shape and motion parameters of the Left Anterior Descending (LAD) coronary artery in ...
Alberto Santamaría-Pang, Amol Pednekar, Ioa...
MICCAI
2005
Springer
16 years 7 months ago
The Use of Unwrapped Phase in MR Image Segmentation: A Preliminary Study
This paper considers the problem of tissue classification in 3D MRI. More specifically, a new set of texture features, based on phase information, is used to perform the segmentati...
Pierrick Bourgeat, Jurgen Fripp, Andrew L. Janke, ...
ISBI
2002
IEEE
16 years 7 months ago
Parcellation of brain images with anatomical and functional constraints for fMRI data analysis
In this paper we propose a methodology for brain parcellation with anatomical and functional constraints dedicated to fMRI data analysis. The aim is to provide a representation of...
Denis Rivière, Ferath Kherif, Guillaume Fla...