Résultats de recherche

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La quasi-totalité du monde eucaryote partage un même système de défense immunitaire : l’immunité innée, fondée sur l’identification des profils moléculaires propres au monde microbien et non présents chez l’hôte. Toutes les cellules possèdent un tel …

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In this talk, I will first present a quick overview of the development of Medical Augmented Reality since early 90s. I will summarize our efforts in the last decade not only in improving depth perception and user interaction within augmented environments, …

Personalized computer models of the human anatomy and physiology have the potential to improve the patient’s risk stratification, outcome prediction, and therapy selection, guidance and follow-up. This lecture will present advances in personalized cardiac …

Documents et médias Télécharger le support Télécharger le CV de David Hawkes …

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The development of methods to accurately and reproducibly recover useful quantitative information from biomedical images is often hampered by uncertainties in handling the data related to: image acquisition parameters, the variability of normal human …

Multi-scale models of organs and organ systems are being developed under the umbrella of the Physiome Project of the International Union of Physiological Sciences (IUPS) and the Virtual Physiological Human (VPH) project funded by the European Commission. …

I argue for the importance of developing a statistical neuroscience in the spirit of Ludwig Boltzman's statistical mechanics. Neuronal phenomena occur and are observed at different scales, spatial and temporal. Large populations of neurons behave in ways …

Rapid advances in image acquisition and shape capturing technology provide continuous or time-discrete 3-D volumetric images and/or surfaces, motivated by the notion that dynamic spatiotemporal changes may provide information not available from snapshots …

I will talk about recent developments in the area of decision trees and forests and their application to medical image analysis. Decision forests have enjoyed much popularity due to their efficiency and good predictive power. Decision jungles are a …

Documents et médias Télécharger le support Télécharger la biographie de Michael Brady …

This lecture will focus on the convergence medical imaging and machine learning techniques for the discovery and quantification of clinically useful information from medical images: The first part of the lecture will describe machine learning techniques …