Predicting conversion to clinically definite multiple sclerosis using machine learning on the basis of cerebral grey matter segmentations - Université de Rennes Access content directly
Journal Articles Multiple Sclerosis Journal Year : 2015

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

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hal-01259385 , version 1 (20-01-2016)

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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, 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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