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Michel Dojat

Showing results (1-10 of 60) with videos related to

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Artificial Intelligence in Medicine|March 3, 2004
Artificial intelligence in neuroimaging: four challenges to improve interpretation of brain imagesMichel Dojat
Frontiers in Human Neuroscience|April 16, 2015
A critical review of the neuroimaging literature on synesthesiaJean-Michel Hupé, Michel Dojat
Physical Review. E|February 17, 2023
Nodal-statistics-based equivalence relation for graph collectionsLucrezia Carboni, Michel Dojat, Sophie Achard
Journal of Biomedical Informatics|November 9, 2007
Knowledge construction from time series data using a collaborative exploration systemThomas Guyet, Catherine Garbay, Michel Dojat
Medical Image Analysis|September 29, 2004
Statistical shape modeling of low level visual area bordersIsabelle Corouge, Michel Dojat, Christian Barillot
Artificial Intelligence in Medicine|March 25, 2004
Automated segmentation of human brain MR images using a multi-agent approachNathalie Richard, Michel Dojat, Catherine Garbay
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
A conditional random field approach for coupling local registration with robust tissue and structure segmentationBenoit Scherrer, Florence Forbes, Michel Dojat
Cerebral Cortex (New York, N.Y. : 1991)|September 15, 2011
The neural bases of grapheme-color synesthesia are not localized in real color-sensitive areasJean-Michel Hupé, Cécile Bordier, Michel Dojat
Plos One|April 5, 2018
Magnetic resonance imaging does not reveal structural alterations in the brain of grapheme-color synesthetesMichel Dojat, Fabrizio Pizzagalli, Jean-Michel Hupé
Neuroimage|March 20, 2012
A BOLD signature of eyeblinks in the visual cortexJean-Michel Hupé, Cécile Bordier, Michel Dojat
Pageof 6

Showing results (1-10 of 60) with videos related to

Sort By:
Pageof 6
Artificial Intelligence in Medicine|March 3, 2004
Artificial intelligence in neuroimaging: four challenges to improve interpretation of brain imagesMichel Dojat
Frontiers in Human Neuroscience|April 16, 2015
A critical review of the neuroimaging literature on synesthesiaJean-Michel Hupé, Michel Dojat
Physical Review. E|February 17, 2023
Nodal-statistics-based equivalence relation for graph collectionsLucrezia Carboni, Michel Dojat, Sophie Achard
Journal of Biomedical Informatics|November 9, 2007
Knowledge construction from time series data using a collaborative exploration systemThomas Guyet, Catherine Garbay, Michel Dojat
Medical Image Analysis|September 29, 2004
Statistical shape modeling of low level visual area bordersIsabelle Corouge, Michel Dojat, Christian Barillot
Artificial Intelligence in Medicine|March 25, 2004
Automated segmentation of human brain MR images using a multi-agent approachNathalie Richard, Michel Dojat, Catherine Garbay
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention|April 30, 2010
A conditional random field approach for coupling local registration with robust tissue and structure segmentationBenoit Scherrer, Florence Forbes, Michel Dojat
Cerebral Cortex (New York, N.Y. : 1991)|September 15, 2011
The neural bases of grapheme-color synesthesia are not localized in real color-sensitive areasJean-Michel Hupé, Cécile Bordier, Michel Dojat
Plos One|April 5, 2018
Magnetic resonance imaging does not reveal structural alterations in the brain of grapheme-color synesthetesMichel Dojat, Fabrizio Pizzagalli, Jean-Michel Hupé
Neuroimage|March 20, 2012
A BOLD signature of eyeblinks in the visual cortexJean-Michel Hupé, Cécile Bordier, Michel Dojat
Pageof 6