Regularization of inverse visual problems involving discontinuities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
Fuzzy c-means approach to tissue classification in multimodal medical imaging
Information Sciences—Informatics and Computer Science: An International Journal
Spatial models for fuzzy clustering
Computer Vision and Image Understanding
On Discontinuity-Adaptive Smoothness Priors in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Image Processing
Knowledge and intelligent computing system in medicine
Computers in Biology and Medicine
Fuzzy C-Means Cluster Segmentation Algorithm Based on Modified Membership
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part II
Modified bias field fuzzy C-means for effective segmentation of brain MRI
Transactions on computational science VIII
Modified bias field fuzzy C-means for effective segmentation of brain MRI
Transactions on computational science VIII
A spatially constrained fuzzy hyper-prototype clustering algorithm
Pattern Recognition
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This paper presents a regularized fuzzy c-means clustering method for brain tissue segmentation from magnetic resonance images. A regularizer of the total variation type is explored and a method to estimate the regularization parameter is proposed.