Multiscale Classification of Remote Sensing Images, IEEE Transactions on Geoscience and Remote Sensing, vol.50, issue.10, 2012. ,
DOI : 10.1109/TGRS.2012.2186582
URL : https://hal.archives-ouvertes.fr/hal-00753160
Automatic Segmentation and Classification of Multiple Sclerosis in Multichannel MRI, IEEE Transactions on Biomedical Engineering, vol.56, issue.10, 2009. ,
DOI : 10.1109/TBME.2008.926671
Spatial decision forests for MS lesion segmentation in multi-channel magnetic resonance images, NeuroImage, vol.57, issue.2, 2011. ,
DOI : 10.1016/j.neuroimage.2011.03.080
URL : https://hal.archives-ouvertes.fr/inria-00616194
Decision Forests for Tissue-Specific Segmentation of High-Grade Gliomas in Multi-channel MR, MICCAI (3), 2012. ,
DOI : 10.1007/978-3-642-33454-2_46
SLIC superpixels compared to state-ofthe-art superpixel methods, IEEE Trans. Pattern Anal. Mach. Intell, vol.34, issue.11, 2012. ,
DOI : 10.1109/tpami.2012.120
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.646.3048
Spatial Random Tree Grammars for Modeling Hierarchal Structure in Images with Regions of Arbitrary Shape, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.9, 2007. ,
DOI : 10.1109/TPAMI.2007.1169
Random forests, Machine Learning, 2001. ,
Fully Automatic Segmentation of Brain Tumor Images Using Support Vector Machine Classification in Combination with Hierarchical Conditional Random Field Regularization, 2011. ,
DOI : 10.1007/978-3-540-85988-8_9