Titlebook: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006; 9th International Co Rasmus Larsen,Mads Nielsen,Jon Sporring Conf

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Pedagogy

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Gabriele Lohmann,D. Yves von Cramon,Alan C. F. Colchester for a given reduced order model, we define the correlation measure between the plant and the model outputs to be the minimum of the ratio of weighted signal energy to weighted error energy. We give a criterion for the evaluation of the correlation measure in terms of minimization of a parameter occ

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Raúl San José Estépar,George G. Washko,Edwin K. Silverman,John J. Reilly,Ron Kikinis,Carl-Fredrik We for a given reduced order model, we define the correlation measure between the plant and the model outputs to be the minimum of the ratio of weighted signal energy to weighted error energy. We give a criterion for the evaluation of the correlation measure in terms of minimization of a parameter occ

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Tomaž Vrtovec,Sébastien Ourselin,Lavier Gomes,Boštjan Likar,Franjo Pernuš for a given reduced order model, we define the correlation measure between the plant and the model outputs to be the minimum of the ratio of weighted signal energy to weighted error energy. We give a criterion for the evaluation of the correlation measure in terms of minimization of a parameter occ

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Luke Fu,Vladimir Fonov,Bruce Pike,Alan C. Evans,D. Louis Collinsf organisations that provides or arranges to provide a co-ordinated continuum of services to a defined population and is willing to be held clinically and fiscally responsible for the outcomes and the health status of the population served (Shortell .., 1996). In Canada health regions were created i

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Prostate Segmentation in 2D Ultrasound Images Using Image Warping and Ellipse Fitting lower than inter-observer variability. Area-based metrics showed an average sensitivity greater than 97% and average accuracy greater than 93%. The proposed algorithm was almost two times faster than manual segmentation and has potential for real-time applications.