 |
 |
 |
Journal articles
Predicting conversion to clinically definite multiple sclerosis using machine learning on the basis of cerebral grey matter segmentations
K. Bendfeldt
1
B. Taschler
L. Gaetano
1
P. Madoerin
1
P. Kuster
1
N. Mueller-Lenke
1
M. Amann
1
H. Vrenken
F. Barkhof
2
S. Borgwardt
1
S. Kloeppel
T. E. Nichols
G. Suarez
L. Kappos
1
Gilles Edan
3, 4
M. S. Freedman
X. Montalban
H. -P. Hartung
C. Pohl
R. Sandbrink
J. Wuerfel
1
E. -W. Radue
1
T Sprenger
1
1
University Hospital Basel [Basel] (Hebelstrasse 32
CH - 4031 Basel - Switzerland)
2
VU - Vrije Universiteit Amsterdam [Amsterdam] (De Boelelaan 1105 1081 HV Amsterdam - Netherlands)
3
Service de Neurologie [Rennes] (2 Rue Henri Le Guilloux 35033 Rennes Cedex 9 - France)
- UR1 - Université de Rennes 1 (2 rue du Thabor - CS 46510 - 35065 Rennes cedex - France)
- UNIV-RENNES - Université de Rennes (France)
- Hôpital Pontchaillou (France)
- CHU Pontchaillou [Rennes] (2 Rue Henri le Guilloux, 35000 Rennes - France)
4
CIC - Centre d'Investigation Clinique [Rennes] (Rue Henri Le Guilloux - Pavillon Clémenceau 35033 Rennes Cedex 9 - France)
- UR1 - Université de Rennes 1 (2 rue du Thabor - CS 46510 - 35065 Rennes cedex - France)
- UNIV-RENNES - Université de Rennes (France)
- Hôpital Pontchaillou (France)
- INSERM - Institut National de la Santé et de la Recherche Médicale : CIC1414 (101, rue de Tolbiac, 75013 Paris - France)
Abstract : no abstract
Document type :
Journal articles
Domain :
Complete list of metadata
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 : Thursday, January 14, 2021 - 11:23:52 AM
Contributor : Laurent Jonchère <>
Submitted on : Wednesday, January 20, 2016 - 1:09:55 PM
Last modification on : Thursday, January 14, 2021 - 11:23:52 AM
Identifiers
- HAL Id : hal-01259385, version 1
Collections
UNIV-RENNES1 | CIC | CIC203 | BIOSIT | UR1-UFR-SVE | UNIV-RENNES
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⟩
Metrics
Record views