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Prostate Cancer Segmentation With Simultaneous Estimation of Markov Random Field Parameters and Class.

, , , , , and . IEEE Trans. Med. Imaging, 28 (6): 906-915 (2009)

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Simultaneous estimation of the Markov random field parameters and the classes for image segmentation., , and . ICIP, page 3048-3051. IEEE, (2008)Automated prostate cancer localization with MRI without the need of manually extracted peripheral zone., , and . ISBI, page 2099-2102. IEEE, (2011)Prostate Cancer Segmentation With Simultaneous Estimation of Markov Random Field Parameters and Class., , , , , and . IEEE Trans. Med. Imaging, 28 (6): 906-915 (2009)Estimating Parametric Line-Source Models With Electroencephalography., , , , and . IEEE Trans. Biomed. Engineering, 53 (11): 2156-2165 (2006)Prostate Cancer Localization Using Multiparametric MRI based on Semisupervised Techniques With Automated Seed Initialization., and . IEEE Trans. Information Technology in Biomedicine, 16 (6): 1313-1323 (2012)Fully automated blink detection for uveal melanoma radiotherapy., , and . EMBC, page 628-631. IEEE, (2017)Performance Bounds on Image Registration., and . ICASSP (2), page 117-120. IEEE, (2005)Improved prostate cancer localization with spatially regularized dynamic contrast -enhanced magnetic resonance imaging., , , and . ISBI, page 644-647. IEEE, (2010)Unsupervised 3D Prostate Segmentation Based on Diffusion-Weighted Imaging MRI Using Active Contour Models with a Shape Prior., , and . J. Electrical and Computer Engineering, (2011)Line-source modeling and estimation with magnetoencephalography., , , and . IEEE Trans. Biomed. Engineering, 52 (5): 839-851 (2005)