Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm

Maximum Likelihood from Incomplete Data Via the EM Algorithm

1977 • 46,601 citations

A Threshold Selection Method from Gray-Level Histograms

1979 • 39,466 citations

A tutorial on hidden Markov models and selected applications in speech recognition

1989 • 22,242 citations

Neural networks for pattern recognition

1994 • 19,343 citations

Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

1984 • 17,865 citations

Neural Networks for Pattern Recognition

1995 • 10,372 citations

On the Convergence Properties of the EM Algorithm

1983 • 3,229 citations

Markov Random Field Modeling in Computer Vision

1995 • 1,297 citations

Adaptive segmentation of MRI data

1996 • 1,284 citations

Markov random field segmentation of brain MR images

1997 • 491 citations

Estimating the bias field of MR images

1997 • 324 citations

Recognition of handwritten word: First and second order hidden Markov model based approach

1989 • 155 citations

Segmentation of MR images with intensity inhomogeneities

1998 • 149 citations

The mean field theory in EM procedures for blind Markov random field image restoration

1993 • 147 citations

Statistical approach to X-ray CT imaging and its applications in image analysis. II. A new stochastic model-based image segmentation technique for X-ray CT image

1992 • 89 citations

Enhanced spatial priors for segmentation of magnetic resonance imagery

1998 • 72 citations

Hidden Markov models for character recognition

1992 • 55 citations

Local segmentation of biomedical images

1990 • 29 citations

Automated Segmentation of MS Lesions from Multi-channel MR Images

1999 • 25 citations

<title>Optimized intensity thresholds for volumetric analysis of magnetic-resonance imaging data (Proceedings Only)</title>

1992 • 15 citations