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

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Alan Colchester,Sébastien Ourselin,Yonggen Zhu,Eric Bardinet,Yang He,Alexis Roche,Safa Al-Sarraj,Bilgery requires a determined commitment to training and is no easy option, but once acquired is rewarded by the extreme profes­ sional satisfaction experienced when one witnesses the remarkable progress of patients who have undergone major surgical interventions, with minimal discomfort and pain, lowe

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David G. Gobbi,Roch M. Comeau,Terry M. Petersgery requires a determined commitment to training and is no easy option, but once acquired is rewarded by the extreme profes­ sional satisfaction experienced when one witnesses the remarkable progress of patients who have undergone major surgical interventions, with minimal discomfort and pain, lowe

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Simulation of Corticospinal Tract Displacement in Patients with Brain Tumorswas evaluated in 5 patients with extrinsic tumors of different histopathology and location by comparing selected anatomical landmark structures from the projected atlas to their manually segmented counterpart in the patient. Our method enables the visualization of complex anatomical information with

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Small Sample Size Learning for Shape Analysis of Anatomical Structureslysis where little is known about the true nature of the input data. Support Vector Machines with Radial Basis Function kernels are used as a training method and the VC dimension is used for the theoretical analysis of the classifier capacity..We demonstrate the method by applying it to shape classi