Fully automatic segmentation of multiple sclerosis lesions in brain MR FLAIR images using adaptive mixtures method and markov random field model
- 31 March 2008
- journal article
- Published by Elsevier BV in Computers in Biology and Medicine
- Vol. 38 (3), 379-390
- https://doi.org/10.1016/j.compbiomed.2007.12.005
Abstract
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This publication has 20 references indexed in Scilit:
- Automated segmentation of multiple sclerosis lesion subtypes with multichannel MRINeuroImage, 2006
- Fully automatic segmentation of white matter hyperintensities in MR images of the elderlyNeuroImage, 2005
- Probabilistic segmentation of white matter lesions in MR imagingNeuroImage, 2004
- Automatic "pipeline" analysis of 3-D MRI data for clinical trials: application to multiple sclerosisIEEE Transactions on Medical Imaging, 2002
- Automated segmentation of multiple sclerosis lesions by model outlier detectionIEEE Transactions on Medical Imaging, 2001
- Automatic Morphology-Based Brain Segmentation (MBRASE) from MRI-T1 DataNeuroImage, 2000
- Multiple sclerosis lesion quantification using fuzzy-connectedness principlesIEEE Transactions on Medical Imaging, 1997
- Segmentation of multiple sclerosis lesions in intensity corrected multispectral MRIIEEE Transactions on Medical Imaging, 1996
- Model-based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain imagesIEEE Transactions on Medical Imaging, 1995
- Morphometric analysis of white matter lesions in MR images: method and validationIEEE Transactions on Medical Imaging, 1994