Gaussian mixture model based segmentation methods for brain MRI images

New spatial based MRI image de-noising algorithm

(2011) M. A. Balafar   ARTIFICIAL INTELLIGENCE REVIEW

Spatial based Expectation Maximizing (EM)

(2011) M A Balafar   Diagnostic Pathology

A new method for MR grayscale inhomogeneity correction

(2010) M. A. Balafar et al.   ARTIFICIAL INTELLIGENCE REVIEW

Review of brain MRI image segmentation methods

(2010) M. A. Balafar et al.   ARTIFICIAL INTELLIGENCE REVIEW

MEDICAL IMAGE SEGMENTATION USING FUZZY C-MEAN (FCM) AND USER SPECIFIED DATA

(2010) M. A. BALAFAR et al.   JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS

IMPROVED FAST FUZZY C-MEAN AND ITS APPLICATION IN MEDICAL IMAGE SEGMENTATION

(2010) M. A. BALAFAR et al.   JOURNAL OF CIRCUITS SYSTEMS AND COMPUTERS

Brain MRI tissue classification based on local Markov random fields

(2010) Jussi Tohka et al.   MAGNETIC RESONANCE IMAGING

MR Image Segmentation Using a Power Transformation Approach

(2009) Juin-Der Lee et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Distributed Local MRF Models for Tissue and Structure Brain Segmentation

(2009) B. Scherrer et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Bayesian mixture models of variable dimension for image segmentation

(2008) Adelino R. Ferreira da Silva   COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE

An EM Approach to MAP Solution of Segmenting Tissue Mixtures: A Numerical Analysis

(2008) Zhengrong Liang et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains

(2008) S. Bricq et al.   MEDICAL IMAGE ANALYSIS