A fully automatic and robust brain MRI tissue classification method
Top Cited Papers
- 8 October 2003
- journal article
- Published by Elsevier in Medical Image Analysis
- Vol. 7 (4) , 513-527
- https://doi.org/10.1016/s1361-8415(03)00037-9
Abstract
No abstract availableKeywords
This publication has 44 references indexed in Scilit:
- Automatic Morphology-Based Brain Segmentation (MBRASE) from MRI-T1 DataNeuroImage, 2000
- Voxel-Based Morphometry—The MethodsNeuroImage, 2000
- Structural Maturation of Neural Pathways in Children and Adolescents: In Vivo StudyScience, 1999
- Partial-volume Bayesian classification of material mixtures in MR volume data using voxel histogramsIEEE Transactions on Medical Imaging, 1998
- Automatic quantification of MS lesions in 3D MRI brain data sets: Validation of INSECTPublished by Springer Nature ,1998
- Estimating the bias field of MR imagesIEEE Transactions on Medical Imaging, 1997
- Statistical approach to segmentation of single-channel cerebral MR imagesIEEE Transactions on Medical Imaging, 1997
- Model-based 3-D segmentation of multiple sclerosis lesions in magnetic resonance brain imagesIEEE Transactions on Medical Imaging, 1995
- Method for Quantification of Brain, Ventricular, and Subarachnoid CSF Volumes from MR ImagesJournal of Computer Assisted Tomography, 1992
- A Coefficient of Agreement for Nominal ScalesEducational and Psychological Measurement, 1960