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TMI
1998
145views more  TMI 1998»
13 years 10 months ago
Maximum Likelihood Estimation of Rician Distribution Parameters
— The problem of parameter estimation from Rician distributed data (e.g., magnitude Magnetic Resonance images) is addressed. The properties of conventional estimation methods are...
Jan Sijbers, Arnold Jan den Dekker, Paul Scheunder...
ISBI
2008
IEEE
14 years 11 months ago
Robust maximum likelihood estimation in Q-space MRI
Q-space imaging is an emerging diffusion weighted MR imaging technique to estimate molecular diffusion probability density functions (PDF's) without the need to assume a Gaus...
Bennett A. Landman, Jonathan A. D. Farrell, Seth A...
DICTA
2003
14 years 8 days ago
Adaptive Magnetic Resonance Image Denoising Using Mixture Model and Wavelet Shrinkage
Abstract. This paper proposes a new adaptive wavelet-based Magnetic Resonance images denoising algorithm. A Rician distribution for background-noise modelling is introduced and a M...
Lei Jiang, Wenhui Yang
PROCEDIA
2010
74views more  PROCEDIA 2010»
13 years 9 months ago
A maximum likelihood estimator for parameter distributions in heterogeneous cell populations
J. Hasenauer, Steffen Waldherr, N. Radde, M. Doszc...

Publication
204views
13 years 8 months ago
Maximum Likelihood Active Contours Specialized for Mammography Segmentation
We present a region-based active contour approach to segmenting masses in digital mammograms. The algorithm developed in a Maximum Likelihood approach is based on the calculation o...
Peyman Rahmati, A. Ayatollahi