@article{bendfeldt:hal-01259385,
TITLE = {Predicting conversion to clinically definite multiple sclerosis using machine learning on the basis of cerebral grey matter segmentations},
AUTHOR = {Bendfeldt, K. and Taschler, B. and Gaetano, L. and Madoerin, P. and Kuster, P. and Mueller-Lenke, N. and Amann, M. and Vrenken, H. and Barkhof, F. and Borgwardt, S. and Kloeppel, S. and Nichols, T. E. and Suarez, G. and Kappos, Ludwig and Edan, Gilles and Freedman, M. S. and Montalban, X. and Hartung, H. -P. and Pohl, C. and Sandbrink, R. and Wuerfel, J. and Radue, E. -W. and Sprenger, T},
URL = {https://univ-rennes.hal.science/hal-01259385},
JOURNAL = {Multiple Sclerosis Journal},
PUBLISHER = {SAGE Publications},
SERIES = {31st Congress of the European-Committee-for-Treatment-and-Research-in-Multiple-Sclerosis (ECTRIMS), Barcelona, SPAIN, OCT 07-10, 2015},
VOLUME = {21},
NUMBER = {11},
PAGES = {498--499},
YEAR = {2015},
MONTH = Sep, HAL_ID = {hal-01259385},
HAL_VERSION = {v1},
}