Markov chain Monte Carlo in image analysis

[1]  A. Sokal.  Monte Carlo Methods in Statistical Mechanics: Foundations and New Algorithms , 1997 .

[2]  L. Bernardinelli,et al.  Bayesian methods for mapping disease risk , 1996 .

[3]  Jesper Møller,et al.  Estimating Distribution Maps From Atlas Data Using Methods of Statistical Image Analysis , 1995 .

[4]  Ingrid K. Glad,et al.  A Bayesian approach to synthetic magnetic resonance imaging , 1995 .

[5]  J. Besag,et al.  Bayesian Computation and Stochastic Systems , 1995 .

[6]  J. Heikkinen,et al.  Fully Bayesian Approach to Image Restoration with an Application in Biogeography , 1994 .

[7]  Michael I. Miller,et al.  REPRESENTATIONS OF KNOWLEDGE IN COMPLEX SYSTEMS , 1994 .

[8]  P. Green,et al.  Modelling data from single photon emission computed tomography , 1994 .

[9]  D. Spiegelhalter,et al.  Modelling Complexity: Applications of Gibbs Sampling in Medicine , 1993 .

[10]  J. Besag,et al.  Spatial Statistics and Bayesian Computation , 1993 .

[11]  Yali Amit,et al.  Deformable template models for emission tomography , 1993, IEEE Trans. Medical Imaging.

[12]  A. Baddeley,et al.  Stochastic geometry models in high-level vision , 1993 .

[13]  Julian Besag,et al.  Towards Bayesian image analysis , 1993 .

[14]  Peter Green,et al.  Spatial statistics and Bayesian computation (with discussion) , 1993 .

[15]  E. Besag,et al.  Bayesian Inference for Agricultural Field , 1993 .

[16]  Donald Geman,et al.  A nonlinear filter for film restoration and other problems in image processing , 1992, CVGIP Graph. Model. Image Process..

[17]  P. Green,et al.  Metropolis Methods, Gaussian Proposals and Antithetic Variables , 1992 .

[18]  Peter J. Diggle,et al.  Contribution to discussion meeting on the future of honours degree courses in mathematics and statistics. , 1992 .

[19]  P. Green,et al.  Global and local priors, and the location of lesions using gamma-camera imagery , 1991, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.

[20]  U. Grenander,et al.  Structural Image Restoration through Deformable Templates , 1991 .

[21]  J. Besag,et al.  Bayesian image restoration, with two applications in spatial statistics , 1991 .

[22]  Ulf Grenander,et al.  Hands: A Pattern Theoretic Study of Biological Shapes , 1990 .

[23]  A. L. Sutherland,et al.  Finding spiral structures in images of galaxies , 1990, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.

[24]  Donald Geman,et al.  Boundary Detection by Constrained Optimization , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[25]  P. Green.  Bayesian reconstructions from emission tomography data using a modified EM algorithm. , 1990, IEEE transactions on medical imaging.

[26]  D. Geman.  Random fields and inverse problems in imaging , 1990 .

[27]  Brandt,et al.  Simulations without critical slowing down: Ising and three-state Potts models. , 1989, Physical review. B, Condensed matter.

[28]  Peter Clifford,et al.  Reconstruction of polygonal images , 1989 .

[29]  A. Sokal,et al.  Generalization of the Fortuin-Kasteleyn-Swendsen-Wang representation and Monte Carlo algorithm. , 1988, Physical review. D, Particles and fields.

[30]  David B. Cooper,et al.  Simple Parallel Hierarchical and Relaxation Algorithms for Segmenting Noncausal Markovian Random Fields , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[31]  Wang,et al.  Nonuniversal critical dynamics in Monte Carlo simulations. , 1987, Physical review letters.

[32]  Stuart Geman,et al.  Statistical methods for tomographic image reconstruction , 1987 .

[33]  J. Besag.  On the Statistical Analysis of Dirty Pictures , 1986 .

[34]  Donald Geman,et al.  Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[35]  Michael Creutz,et al.  Confinement and the critical dimensionality of space-time , 1979 .

[36]  W. K. Hastings,et al.  Monte Carlo Sampling Methods Using Markov Chains and Their Applications , 1970 .

[37]  N. Metropolis,et al.  Equation of State Calculations by Fast Computing Machines , 1953, Resonance.