298 search results - page 21 / 60 » A Markov Random Field Model for Medical Image Denoising |
194
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MICCAI
2010
Springer
15 years 4 months ago
2010
Springer
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
176
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
This paper presents a nonparametric approach to labeling
of local image regions that is inspired by recent developments
in information-theoretic denoising. The chief novelty
of ...
158
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ICCV
2003
IEEE
16 years 8 months ago
2003
IEEE
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
150
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MICCAI
2004
Springer
16 years 6 months ago
2004
Springer
This paper presents an approach for deformable registration of a normal brain atlas to visible anatomic structures in a tumor-diseased brain image. We restrict our attention to cor...
180
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ICCV
2009
IEEE
16 years 11 months ago
2009
IEEE
In recent years the Markov Random Field (MRF) has
become the de facto probabilistic model for low-level vision
applications. However, in a maximum a posteriori
(MAP) framework, ...