EM Algorithm-based Segmentation of Magnetic Resonance Image Corrupted by Bias Field |
김승구 (상지대학교 응용통계학과) |
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On Statistical analysis of dirty picture(discusion)
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2 |
Contribution to the discussion of paper by J. Besang
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Automated Model-Based Bias Field Correction of MR Images of the Brain
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DOI ScienceOn |
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Automated Model-Based Tissue Classification of MR Images of the Brain
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DOI ScienceOn |
5 |
Maximum Likelihood estimation via the ECM algorithm: a general framework
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6 |
Stochastic relaxations and EM algorithms for Markov random fields
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DOI ScienceOn |
7 |
Estimating the Bias Field of MR Images
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DOI ScienceOn |
8 |
A mixture model approach to segmentation of magnetic resonance images
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9 |
Adaptive Segmentaion of MRI Data
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DOI ScienceOn |
10 |
An Algorithm for unsupervised learning via normal mixture model
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11 |
Estimation of parameters in hidden Markov models
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DOI |
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13 |
Image labelling and the statistical analysis of incomplete data
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14 |
Segmentation of Brain MR Images Through a Hidden Markov Random Field Model and the Expectation-Maximization Algorithm
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DOI ScienceOn |