, Lesion segmentation and manual warping to a reference brain: Intra- and interobserver reliability, Human Brain Mapping, vol.22, issue.4, pp.192-211, 2000.
DOI : 10.1002/(SICI)1097-0193(200004)9:4<192::AID-HBM2>3.0.CO;2-Y
, Automatic segmentation of non-enhancing brain tumors in magnetic resonance images, Artificial Intelligence in Medicine, vol.21, issue.1-3, pp.43-63, 2001.
DOI : 10.1016/S0933-3657(00)00073-7
, procedures using mean field-like approximations for Markov model-based image segmentation, Pattern Recognition, vol.36, pp.1-2003
URL : https://hal.archives-ouvertes.fr/inria-00072526
, Diffusion-weighted MR Imaging: Diagnostic Accuracy in Patients Imaged within 6 Hours of Stroke Symptom Onset, Radiology, vol.210, issue.1, pp.155-162, 1999.
DOI : 10.1148/radiology.210.1.r99ja02155
, Automated segmentation of multiple sclerosis lesions by model outlier detection, IEEE Transactions on Medical Imaging, vol.20, issue.8, 2001.
DOI : 10.1109/42.938237
, Arterial Hyperintensity on Fast Fluid-attenuated Inversion Recovery Images: A Subtle Finding for Hyperacute Stroke Undetected by Diffusion-weighted MR Imaging, AJNR Am J Neuroradiol, vol.22, pp.632-636, 2001.
, Multimodal MR examination in acute ischemic stroke, Neuroradiology, vol.46, issue.4, pp.238-246, 2006.
DOI : 10.1007/s00234-005-0045-0
, A brain tumor segmentation framework based on outlier detection*1, Medical Image Analysis, vol.8, issue.3, pp.217-231, 2004.
DOI : 10.1016/j.media.2004.06.007
, Comparable Studies of the Incidence of Stroke and its Pathological Types : Results From an International Collaboration, Stroke, vol.28, issue.3, pp.491-500, 1997.
DOI : 10.1161/01.STR.28.3.491
, Nonlinear Diffusion Scale-Space and Fast Marching Level Sets for Segmentation of MR Imagery and Volume Estimation of Stroke Lesions, MICCAI 2003, pp.496-504, 2003.
DOI : 10.1007/978-3-540-39903-2_61