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Predicting conversion to clinically definite multiple sclerosis using machine learning on the basis of cerebral grey matter segmentations

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https://hal-univ-rennes1.archives-ouvertes.fr/hal-01259385
Contributor : Laurent Jonchère <>
Submitted on : Wednesday, January 20, 2016 - 1:09:55 PM
Last modification on : Monday, January 20, 2020 - 8:56:02 AM

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  • HAL Id : hal-01259385, version 1

Citation

K. Bendfeldt, B. Taschler, L. Gaetano, P. Madoerin, P. Kuster, et al.. Predicting conversion to clinically definite multiple sclerosis using machine learning on the basis of cerebral grey matter segmentations. Multiple Sclerosis Journal, SAGE Publications, 2015, 31st Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS), Barcelona, SPAIN, OCT 07-10, 2015, 21 (11), pp.498--499. ⟨hal-01259385⟩

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