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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 Connect in order to contact the contributor
Submitted on : Wednesday, January 20, 2016 - 1:09:55 PM
Last modification on : Wednesday, March 30, 2022 - 2:37:03 PM

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  • HAL Id : hal-01259385, version 1

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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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