Connectivity feature extraction for spatio-functional clustering of fMRI data

Samuel Emeriau 1 Frédéric Blanchard 2 Jean-Baptiste Poline 3, 4 Laurent Pierot 5 Éric Bittar 2
1 CHU Reims - Centre Hospitalier Universitaire de Reims
2 CRESTIC - Centre de Recherche en Sciences et Technologies de l'Information et de la Communication - EA 3804
3 LNAO - Laboratoire de Neuroimagerie Assistée par Ordinateur
4 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data
Inria Saclay - Ile de France, NEUROSPIN - Service NEUROSPIN
5 Hôpital Maison Blanche
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Conference papers
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https://hal.univ-reims.fr/hal-02079665
Contributor : Frédéric Blanchard <>
Submitted on : Tuesday, March 26, 2019 - 11:08:50 AM
Last modification on : Wednesday, March 27, 2019 - 1:23:38 AM

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  • HAL Id : hal-02079665, version 1

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URCA | CRESTIC | CEA | INRIA | JOLIOT | CEA-DRF | NEUROSPIN

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Samuel Emeriau, Frédéric Blanchard, Jean-Baptiste Poline, Laurent Pierot, Éric Bittar. Connectivity feature extraction for spatio-functional clustering of fMRI data. International Conference on Image Processing Theory, Tools and Applications, 2010, Paris, France. ⟨hal-02079665⟩

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