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» Maximum Likelihood Estimators in Magnetic Resonance Imaging
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TMI
2010
123views more  TMI 2010»
13 years 2 months ago
Optimal Experimental Design for Diffusion Kurtosis Imaging
Diffusion Kurtosis Imaging (DKI) is a new magnetic resonance imaging model that describes the non-Gaussian diffusion behavior in tissues. It has recently been shown that DKI param...
Dirk H. J. Poot, Arnold Jan den Dekker, Eric Achte...
ISBI
2007
IEEE
14 years 1 months ago
Efficient Use of Cerebral Cortical Thickness to Correct Brain Mr Segmentation
Efficient, automatic and robust tools for measurement of cerebral cortical thickness would aid diagnosis and longitudinal studies of neurodegenerative disorders. In this work, we...
Thanh-Mai Diep, Pierrick Bourgeat, Sébastie...
ISBI
2007
IEEE
14 years 1 months ago
Sub-Resolution Maximum-Likelihood Based Localization of Fluorescent Nanoparticles in Three Dimensions
Several recent studies have shown that fluorescent particles can be localized with an accuracy that is well beyond traditional resolution limits. Using a theoretical model of the...
François Aguet, Dimitri Van De Ville, Micha...
CIMCA
2005
IEEE
14 years 1 months ago
Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
Kazuyuki Tanaka

Publication
204views
13 years 4 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