Assessing quantification for the EMS algorithm
暂无分享,去创建一个
[1] P. Green. On Use of the EM Algorithm for Penalized Likelihood Estimation , 1990 .
[2] D L Bailey,et al. SPECT evaluation of arterial perfusion in regional chemotherapy. , 1988, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.
[3] J. D. Wilson,et al. A smoothed EM approach to indirect estimation problems, with particular reference to stereology and emission tomography , 1990 .
[4] R. Anderssen,et al. A hyperplane approach to the EMS algorithm , 1992 .
[5] Y. Vardi,et al. From image deblurring to optimal investments : maximum likelihood solutions for positive linear inverse problems , 1993 .
[6] H. Schneider. Note on the Fundamental Theorem on Irreducible Non-Negative Matrices , 1958, Proceedings of the Edinburgh Mathematical Society.
[7] Henryk Minc,et al. On the Maximal Eigenvector of a Positive Matrix , 1970 .
[8] Charles R. Johnson,et al. Matrix analysis , 1985, Statistical Inference for Engineers and Data Scientists.
[9] L. Shepp,et al. Maximum Likelihood Reconstruction for Emission Tomography , 1983, IEEE Transactions on Medical Imaging.
[10] Robert S. Anderssen,et al. On the stabilization inherent in the EMS algorithm , 1994 .
[11] D. Nychka. Some properties of adding a smoothing step to the EM algorithm , 1990 .
[12] L. Shepp,et al. A Statistical Model for Positron Emission Tomography , 1985 .
[13] A. Brauer. The theorems of Ledermann and Ostrowski on positive matrices , 1957 .
[14] A. Ostrowski. On the Eigenvector belonging to the Maximal Root of a Non-negative Matrix , 1960 .
[15] Charles L. Byrne,et al. Iterative image reconstruction algorithms based on cross-entropy minimization , 1993, IEEE Trans. Image Process..
[16] P. Green. Bayesian reconstructions from emission tomography data using a modified EM algorithm. , 1990, IEEE transactions on medical imaging.