Stroke Lesion Segmentation in FLAIR MRI Datasets Using Customized Markov Random Fields by Nagesh K. Subbanna, Deepthi Rajashekar, Bastian Cheng, Götz Thomalla, Jens Fiehler, Tal Arbel, Nils D. Forkert

“…Using this initial segmentation, a customized voxel-level Markov random field model based on intensity as well as Gabor texture features is employed to refine the stroke lesion segmentation. …”
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Broadband Spectrum Sensing of Distributed Modulated Wideband Converter Based on Markov Random Field by Zhi Li, Jiawei Zhu, Ziyong Xu, Wei Hua

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A JOINT PIXEL AND REGION BASED MULTISCALE MARKOV RANDOM FIELD FOR IMAGE CLASSIFICATION by T. Mei, L. Zheng, S. Zhong

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Hidden Markov Random Field for Multi-Agent Optimal Decision in Top-Coal Caving by Yi Yang, Zhiwei Lin, Bingfeng Li, Xinwei Li, Lizhi Cui, Keping Wang

Subjects: “…Hidden Markov random field…”
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Bayesian Markov Random Field analysis for protein function prediction based on network data. by Yiannis A I Kourmpetis, Aalt D J van Dijk, Marco C A M Bink, Roeland C H J van Ham, Cajo J F ter Braak

“…We take a Bayesian approach to an existing Markov Random Field method by performing simultaneous estimation of the model parameters and prediction of protein functions. …”
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Inference Tools for Markov Random Fields on Lattices: The R Package mrf2d by Victor Freguglia, Nancy Lopes Garcia

Subjects: “…markov random fields…”
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Probabilistic edge inference of gene networks with markov random field-based bayesian learning by Yu-Jyun Huang, Rajarshi Mukherjee, Chuhsing Kate Hsiao, Chuhsing Kate Hsiao

Subjects: “…Bayesian markov random field…”
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Detection Of Road For Landing Of Aircraft In An Unfamiliar Environment: A Comparative Study by Ali Mobin Memon, Imran Amin

Subjects: “…Markov Random Field…”
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Skin Lesion Segmentation Using Stochastic Region-Merging and Pixel-Based Markov Random Field by Omran Salih, Serestina Viriri

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IMAGE ENHANCEMENT AND SPECKLE REDUCTION OF FULL POLARIMETRIC SAR DATA BY GAUSSIAN MARKOV RANDOM FIELD by M. Mahdian, M. Motagh, V. Akbari

“…Indeed, speckle degrade radiometric resolution of PolSAR images, therefore it is needful to perform speckle filtering on the SAR data type. Markov Random Field (MRF) has proven to be a powerful method for drawing out eliciting contextual information from remotely sensed images. …”
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3D CLASSIFICATION OF CROSSROADS FROM MULTIPLE AERIAL IMAGES USING MARKOV RANDOM FIELDS by S. Kosov, F. Rottensteiner, C. Heipke, J. Leitloff, S. Hinz

“…The precise classification and reconstruction of crossroads from multiple aerial images is a challenging problem in remote sensing. We apply the Markov Random Fields (MRF) approach to this problem, a probabilistic model that can be used to consider context in classification. …”
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Dim and Small Target Detection Based on Gaussian Markov Random Field Motion Direction Estimation by Lei Min, Xiangsuo Fan, Juliu Li, Zhengrong Xiang, Qiqi Wu

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Fast Road Network Extraction in Satellite Images Using Mathematical Morphology and Markov Random Fields by Géraud Thierry, Mouret Jean-Baptiste

Subjects: “…Markov random field…”
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Improved adaptive Markov random field based super-resolution mapping for mangrove tree identification by H. Aghighi, J. Trinder, S. Lim, Y. Tarabalka

“…In this paper we have improved an adaptive Markov random field approach for super-resolution mapping (MRF-SRM) based on spatially adaptive MRF-SPM to overcome the limitation of equal covariance matrices assumption for all classes. …”
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Segmentasi Citra Kanker Serviks Menggunakan Markov Random Field dan Algoritma K-Means by Raihana Salsabila Darma Wijaya, Adiwijaya, Andriyan B Suksmono, Tati LR Mengko

Subjects: “…cervical cancer, k-means clustering, k-nearest neighbor, markov random field, pap smear…”
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Integrating wavelet transformation with Markov random field analysis for the depth estimation of light‐field images by Wei‐Yu Lee, Chi‐Ying Li, Jia‐Yush Yen

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Texture segmentation using the co-occurence matrix and the binomial Markov Random field for remote sensing images / by Norliza Mohd. Noor 420412, Omar Mohd. Rijal 225846, Ishak Ismail, Universiti Teknologi Malaysia. Fakulti Kejuruteraan Elektrik

Bayesian markov random fields analysis for protein function prediction based on protein-protein interaction data / by Nordayana A. Rahim, 1988-, author, Siti Zaiton Mohd. Hashim, supervisor, Mohd. Saberi Mohamad, supervisor, Fakulti Sains Komputer dan Sistem Maklumat

Bayesian markov random fields analysis for protein function prediction based on protein-protein interaction data / by Nordayana A. Rahim, 1988-, author, Mohd. Saberi Mohamad, supervisor, Siti Zaiton Mohd. Hashim, supervisor, Fakulti Sains Komputer dan Sistem Maklumat

MarkovFit: Structure Fitting for Protein Complexes in Electron Microscopy Maps Using Markov Random Field by Eman Alnabati, Juan Esquivel-Rodriguez, Genki Terashi, Daisuke Kihara, Daisuke Kihara

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