Bone labelling on micro-magnetic resonance images
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Theocharis Antoniadis | Jean-Pierre Scarpelli | Jean-Pierre Ruaud | Patrick Gonord | Geneviève Guillot | G. Guillot | P. Gonord | J. Ruaud | Theocharis Antoniadis | Jean-Pierre Scarpelli
[1] Steven W. Zucker,et al. Continuous Relaxation and Local Maxima Selection: Conditions for Equivalence , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] C. K. Jackson,et al. The scanning electron microscope in studies of trabecular bone from a human vertebral body. , 1971, Journal of anatomy.
[3] P. Röschmann,et al. Susceptibility artefacts in NMR imaging. , 1985, Magnetic resonance imaging.
[4] H. Gundersen,et al. Quantification of connectivity in cancellous bone, with special emphasis on 3-D reconstructions. , 1993, Bone.
[5] S. Majumdar,et al. High Resolution Magnetic Resonance Imaging of the Calcaneus: Age-Related Changes in Trabecular Structure and Comparison with Dual X-Ray Absorptiometry Measurements , 1997, Calcified Tissue International.
[6] Olivier D. Faugeras,et al. Improving Consistency and Reducing Ambiguity in Stochastic Labeling: An Optimization Approach , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Steven W. Zucker,et al. On the Foundations of Relaxation Labeling Processes , 1983, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] M. Kleerekoper,et al. Relationships between surface, volume, and thickness of iliac trabecular bone in aging and in osteoporosis. Implications for the microanatomic and cellular mechanisms of bone loss. , 1983, The Journal of clinical investigation.
[9] Azriel Rosenfeld,et al. Scene Labeling by Relaxation Operations , 1976, IEEE Transactions on Systems, Man, and Cybernetics.
[10] C. Simmons,et al. Trabecular bone morphology from micro‐magnetic resonance imaging , 1996, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[11] Donald Geman,et al. Bayes Smoothing Algorithms for Segmentation of Binary Images Modeled by Markov Random Fields , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Shmuel Peleg,et al. A New Probabilistic Relaxation Scheme , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] J. A. Richards,et al. Pixel Labeling by Supervised Probabilistic Relaxation , 1981, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Haluk Derin,et al. Modeling and Segmentation of Noisy and Textured Images Using Gibbs Random Fields , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Steven D. Kugelmass,et al. Quantitative analysis of trabecular microstructure by 400 MHz nuclear magnetic resonance imaging , 1995, Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research.
[17] W. J. Whitehouse. The quantitative morphology of anisotropic trabecular bone , 1974, Journal of microscopy.
[18] S C Cowin,et al. The fabric dependence of the orthotropic elastic constants of cancellous bone. , 1990, Journal of biomechanics.
[19] J. Besag. On the Statistical Analysis of Dirty Pictures , 1986 .