Image processing, image analysis, Markov random fields, and MCMC
S. Geman and D. Geman. Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images. IEEE-PAMI, 6, 1984, 721-741. (pdf)
S. Geman and D.E. McClure. Bayesian image analysis: An application to single photon emission tomography. 1985 Proceedings of the American Statistical Association. Statistical Computing Section, 1985, 12-18. (pdf)
S. Geman and C.-R.
Hwang. Diffusions for global optimization.
D. Geman and S. Geman. Bayesian
image analysis. Disordered Systems and Biological Organization. Ed. E. Bienenstock,
F. Fogelman, G. Weisbuch. NATO ASI Series, Vol.
D. Geman, S. Geman, and C. Graffigne. Locating texture and object boundaries. Pattern
Recognition Theory and Application. Ed. P. Devijver. NATO ASI Series, Springer-Verlag,
S. Geman and D.E. McClure. Discussion of: "On the statistical analysis of dirty pictures," by Julian Besag, J. R. Statist. Soc. B, 48, 1986, 259-302.
S. Geman and C. Graffigne.
Markov random field image models and their applications to
computer vision. Proceedings of the International Congress of
Mathematicians 1986. Ed.
A.M. Gleason, American Mathematical Society,
S. Geman and D.E. McClure. Statistical methods for tomographic image reconstruction. Proceedings of the 46th Session of the International Statistical Institute, Bulletin of the ISI, 52, 1987. (pdf)
S. Geman. Experiments in
Bayesian Image Analysis. Bayesian Statistics 3. Ed. J.M. Bernardo, M.H. DeGroot,
D.V. Lindley and A.F.M. Smith,
S. Geman. Stochastic relaxation methods for image restoration and expert systems. Maximum Entropy and Bayesian Methods in Science and Engineering (Vol. 2). Ed. G.J.
Erickson and C.R. Smith, Kluwer Academic Publishers, 1988.
D. Geman, S. Geman, C. Graffigne, and P. Dong. Boundary detection by constrained optimization. IEEE-PAMI, 12, 1990, 609-628. (pdf)
D. Geman and S. Geman. Discussion of: "Bayesian image restoration, with two applications in spatial statistics," by J.E. Besag, Jeremy York and Annie Mollié, Annals of the
S. Geman, D.E. McClure, and D. Geman. A nonlinear filter for film restoration and other problems in image processing. CVGIP: Graphical and Image Processing, 54, 1992, 281-289. (pdf)
S. Geman, K. Manbeck,
and D.E. McClure. A comprehensive statistical model for
single photon emission tomography. In: Markov Random Fields: Theory and
Applications. Eds. R. Chellappa and A. Jain. Academic Press,
S. Geman, K. Manbeck,
and D.E. McClure. "Coarse-to-fine
search and rank-sum statistics in object recognition." Technical Report, Division
of Applied Mathematics,
H. Künsch, S. Geman, and A. Kehagias. Hidden Markov random fields. Annals of Applied Probability, 5, 1995, 577-602. (pdf)
(complete proofs can be found in this ``appendix" pdf)
L.-B. Chang, Y. Jin, W. Zhang, E. Borenstein, and S. Geman. Context, Computation, and Optimal ROC Performance in Hierarchical Models. IJCV, 93(2), 2011, 117-140. (pdf)
T.-L. Chen and S. Geman. Image Warping Using Radial Basis Functions. J. of Applied Statistics, 42(2), 2014, 242-258. (pdf)