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The modern analysis of multivariate electrical brain signals requires advanced statistical tools to automatically extract and quantify their information content. These tools include machine learning techniques and information theory. They are currently used both in basic neuroscience and challenging applications such as brain computer interfaces. We review here how these methods have been used at...
L’IRM permet d’étudier l’atteinte de structures cérébrales impliquées dans différentes pathologies. L’hippocampe est une structure impliquée de façon précoce dans la maladie d’Alzheimer. L’extraction de son volume à partir des IRM a donné lieu à la création de nombreuses méthodes, avec différents niveaux d’automatisation. Nous avons proposé une méthode de déformation de régions permettant la segmentation...
External beam radiotherapy is one of the standard treatments for prostate cancer. Despite advanced radiotherapy techniques allowing precise dose delivery on cancer targets, efficiency of the treatment is limited by the risk of side-effects due to the irradiation to the surrounding organs. Characterizing the local dose–toxicity relationship is crucial to provide new recommendations for treatment planning...
Purpose: We aim at studying intrinsic structures of the intracranial subarachnoid space.Material and methods: Magnetic resonance images were obtained using the SPACE sequence, and the segmentation of the superior intracranial subarachnoid space was performed using geometrical features and a topological assumption of the shapes. Given such segmentation results, we present a method based on a geodesic...
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