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» Active Region Models for Segmenting Medical Images
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ICIAR
2009
Springer
14 years 2 months ago
Implicit Active-Contouring with MRF
In this paper, we present a new image segmentation method based on energy minimization for iteratively evolving an implicit active contour. Methods for active contour evolution is ...
Pierre-Marc Jodoin, Venkatesh Saligrama, Janusz Ko...
ISBI
2006
IEEE
14 years 8 months ago
Joint detection-estimation of brain activity in fMRI using an autoregressive noise model
Different approaches have been considered so far to cope with the temporal correlation of fMRI data for brain activity detection. However, it has been reported that modeling this ...
Jérôme Idier, Jean-Baptiste Poline, P...
MICCAI
2009
Springer
14 years 8 months ago
Supervised Nonparametric Image Parcellation
Segmentation of medical images is commonly formulated as a supervised learning problem, where manually labeled training data are summarized using a parametric atlas. Summarizing th...
Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leem...
ICIP
2007
IEEE
14 years 1 months ago
Modeling vs. Segmenting Images Using A Probabilistic Approach
Image segmentation is conventionally formulated as a pixellabeling problem, in which “hard” decisions have to be made to partition pixels into regions. As image segmentation i...
Datong Chen
MICCAI
2007
Springer
14 years 8 months ago
Segmentation of Q-Ball Images Using Statistical Surface Evolution
In this article, we develop a new method to segment Q-Ball imaging (QBI) data. We first estimate the orientation distribution function (ODF) using a fast and robust spherical harmo...
Maxime Descoteaux, Rachid Deriche