A Belief Propagation algorithm for bias field estimation and image segmentation
暂无分享,去创建一个
[1] Koenraad Van Leemput,et al. Automated model-based bias field correction of MR images of the brain , 1999, IEEE Transactions on Medical Imaging.
[2] Ron Kikinis,et al. Markov random field segmentation of brain MR images , 1997, IEEE Transactions on Medical Imaging.
[3] Bostjan Likar,et al. A Review of Methods for Correction of Intensity Inhomogeneity in MRI , 2007, IEEE Transactions on Medical Imaging.
[4] Stephen M. Smith,et al. Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.
[5] Yair Weiss,et al. Deriving intrinsic images from image sequences , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[6] Michael Brady,et al. Estimating the bias field of MR images , 1997, IEEE Transactions on Medical Imaging.
[7] Tomaso Poggio,et al. Probabilistic Solution of Ill-Posed Problems in Computational Vision , 1987 .
[8] William T. Freeman,et al. Understanding belief propagation and its generalizations , 2003 .
[9] Koenraad Van Leemput,et al. Automated model-based tissue classification of MR images of the brain , 1999, IEEE Transactions on Medical Imaging.
[10] Judea Pearl,et al. Probabilistic reasoning in intelligent systems - networks of plausible inference , 1991, Morgan Kaufmann series in representation and reasoning.
[11] Edward H. Adelson,et al. Belief Propagation and Revision in Networks with Loops , 1997 .
[12] Hugues Benoit-Cattin,et al. Intensity non-uniformity correction in MRI: Existing methods and their validation , 2006, Medical Image Anal..
[13] Alin Achim,et al. 18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, September 11-14, 2011 , 2011, ICIP.
[14] J. Besag. On the Statistical Analysis of Dirty Pictures , 1986 .
[15] Olga Veksler,et al. Fast approximate energy minimization via graph cuts , 2001, Proceedings of the Seventh IEEE International Conference on Computer Vision.
[16] Moncef Gabbouj,et al. Multi-dimensional evolutionary feature synthesis for content-based image retrieval , 2011, 2011 18th IEEE International Conference on Image Processing.
[17] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] W. Eric L. Grimson,et al. Adaptive Segmentation of MRI Data , 1995, CVRMed.