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Aix-Marseille Université
Institut de Mathématiques de Marseille (I2M) - UMR 7373
Site Saint-Charles : 3 place Victor Hugo, Case 19, 13331 Marseille Cedex 3
Site Luminy : Campus de Luminy - Case 907 - 13288 Marseille Cedex 9

Séminaire

Sylvain TAKERKART – Learning from structured fMRI patterns using graph kernels


LIF, Aix-Marseille Université

Date(s) : 27/09/2012   iCal
14h00 - 15h00

Learning from structured fMRI patterns using graph kernels. (by Sylvain Takerkart, LIF).

Classification of medical images in multi-subjects settings is a difficult challenge due to the variability that exists between individuals. Here we introduce a new graph-based framework specifically designed to deal with inter-subject functional variability present in functional MRI data. A graphical representation is built to encode the functional\, geometric and structural properties of local activation patterns. The design of a specific graph kernel allows to conduct SVM classification directly in graph space. I will present results obtained on both simulated and real datasets, describe potential applications and discuss future directions for this work.

Emplacement
I2M Chateau-Gombert - CMI

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