A new look at Markov random field (MRF) model-based MR image analysis

Mapping Intimacies ◽

10.1117/12.596251 ◽

2005 ◽

Author(s):

Tianhu Lei ◽

Jayaram K. Udupa

Keyword(s):

Image Analysis ◽

Random Field ◽

Markov Random Field ◽

Mr Image ◽

Model Based ◽

Markov Random ◽

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A Model-Based Approach to Gene Clustering with Missing Observation Reconstruction in a Markov Random Field Framework

Journal of Computational Biology ◽

10.1089/cmb.2008.0078 ◽

2009 ◽

Vol 16 (3) ◽

pp. 475-486 ◽

Author(s):

Juliette Blanchet ◽

Matthieu Vignes

Keyword(s):

Random Field ◽

Markov Random Field ◽

Gene Clustering ◽

Model Based ◽

Markov Random ◽

Missing Observation

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Brain MR Image Segmentation Using Fuzzy Clustering with Spatial Constraints Based on Markov Random Field Theory

Lecture Notes in Computer Science - Medical Imaging and Augmented Reality ◽

10.1007/978-3-540-28626-4_23 ◽

2004 ◽

pp. 188-195 ◽

Author(s):

Yanqiu Feng ◽

Wufan Chen

Keyword(s):

Field Theory ◽

Image Segmentation ◽

Random Field ◽

Fuzzy Clustering ◽

Markov Random Field ◽

Spatial Constraints ◽

Mr Image ◽

Random Field Theory ◽

Markov Random ◽

Mr Image Segmentation

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Region-based active contour model based on markov random field to segment images with intensity non-uniformity and noise

Journal of Medical Signals & Sensors ◽

10.4103/2228-7477.103149 ◽

2012 ◽

Vol 2 (1) ◽

pp. 17 ◽

Author(s):

Kamran Kazemi ◽

Zahra Shahvaran ◽

MohammadSadegh Helfroush ◽

Nassim Jafarian

Keyword(s):

Random Field ◽

Markov Random Field ◽

Active Contour ◽

Active Contour Model ◽

Model Based ◽

Markov Random ◽

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A Mixture Model Based Markov Random Field for Discovering Patterns in Sequences

Advances in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/11752912_5 ◽

2006 ◽

pp. 25-34

Author(s):

Konstantinos Blekas

Keyword(s):

Random Field ◽

Mixture Model ◽

Markov Random Field ◽

Model Based ◽

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Fully Automated Model-Based Prostate Boundary Segmentation Using Markov Random Field in Ultrasound Images

2012 International Conference on Digital Image Computing Techniques and Applications (DICTA) ◽

10.1109/dicta.2012.6411706 ◽

2012 ◽

Author(s):

Rasa Vafaie ◽

Javad Alirezaie ◽

Paul Babyn

Keyword(s):

Random Field ◽

Markov Random Field ◽

Ultrasound Images ◽

Model Based ◽

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Markov Random Field Applications in Image Analysis

Data Analysis in Astronomy IV ◽

10.1007/978-1-4615-3388-7_5 ◽

1992 ◽

pp. 39-50 ◽

Author(s):

Anil K. Jain ◽

Sateesha G. Nadabar

Keyword(s):

Image Analysis ◽

Random Field ◽

Markov Random Field ◽

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Traffic Video Image Segmentation Model Based on Bayesian and Spatio-Temporal Markov Random Field

Journal of Physics Conference Series ◽

10.1088/1742-6596/910/1/012041 ◽

2017 ◽

Vol 910 ◽

pp. 012041

Author(s):

Jun Zhou ◽

Xu Bao ◽

Dawei Li ◽

Yongwen Yin

Keyword(s):

Image Segmentation ◽

Random Field ◽

Markov Random Field ◽

Video Image ◽

Model Based ◽

Markov Random ◽

Traffic Video ◽

Spatio Temporal

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A New Hybrid PDE Denoising Model Based on Markov Random Field

First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06) ◽

10.1109/icicic.2006.211 ◽

2006 ◽

Author(s):

Ji-ying Wu ◽

Qiu-qi Ruan

Keyword(s):

Random Field ◽

Markov Random Field ◽

Model Based ◽

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A Markov random field model-based approach to image interpretation

Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.1989.37888 ◽

2003 ◽

Author(s):

J.W. Modestino ◽

J. Zhang

Keyword(s):

Random Field ◽

Markov Random Field ◽

Field Model ◽

Image Interpretation ◽

Random Field Model ◽

Markov Random Field Model ◽

Model Based ◽

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Gaussian Mixture Model with Markov Random Field for MR Image Segmentation

2006 IEEE International Conference on Industrial Technology ◽

10.1109/icit.2006.372426 ◽

2006 ◽

Author(s):

Huiguang He ◽

Ke Lu ◽

Bin Lv

Keyword(s):

Image Segmentation ◽

Random Field ◽

Gaussian Mixture Model ◽

Mixture Model ◽

Markov Random Field ◽

Gaussian Mixture ◽

Mr Image ◽

Markov Random ◽

Mr Image Segmentation

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