Titlebook: Medical Image Computing and Computer-Assisted Intervention - MICCAI 2000; Third International Scott L. Delp,Anthony M. DiGoia,Branislav Ja

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C. J. Beeston,C. J. Taylorhal levels. To counteract these inci­ dents proton pumps evolved. Two independent systems were devel­ oped. One was a proton pump coupled to energetically downh978-3-662-22267-6978-3-662-22265-2Series ISSN 1431-0414

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Rotator-Cuff

Fulminate

Registration of 3D Intraoperative MR Images of the Brain Using a Finite Element Biomechanical Modelthm tracks key surfaces (cortical surface and the lateral ventricles) in the image sequence using an active surface algorithm. The volumetric deformation field of the objects the surfaces are embedded in is then inferred from the displacements at the boundary surfaces using a biomechanical finite el

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Communicate

Automatic Recognition of Cortical Sulci Using a Congregation of Neural NetworksMR images leading to abstract structural representations of the cortical folding. The representation nodes are cortical folds, which are given a sulcus name by a contextual pattern recognition method. This method can be interpreted as a graph matching approach, which is driven by the minimization of

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BrainSuite: An Automated Cortical Surface Identification Tool the human brain. The tool provides a sequence of low-level operations in a single package that can produce accurate brain segmentations in clinical time. The tools include skull and scalp removal, image nonuniformity compensation, voxel-based tissue classification, topological correction, rendering

为现场

Incorporating Spatial Priors into an Information Theoretic Approach for ,MRI Data Analysisrk the use of mutual information as a measure of activation resulted in a nonparametric calculation of the activation map. Nonparametric approaches are attractive as the implicit assumptions are milder than the strong assumptions of popular approaches based on the general linear model popularized by

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