@InProceedings{2015_stamile324,
	author = "Claudio Stamile and Gabriel Kocevar and Salem Hannoun and Carole Frindel and François Cotton and Françoise Durand-dubief and David Rousseau",
	title = "A Random Forest Based Method for classification of White Matter Fiber-Bundles in Multiple Sclerosis",
	booktitle = "25° Colloque sur le traitement du signal et des images",
	year = "2015",
	publisher = "GRETSI - Groupe de Recherche en Traitement du Signal et des Images",
	number = "001-084",
	pages = "p. 337-340",
	month = "Sep # 8--11",
	address = "Lyon",
	doi = "",
	pdf = "2015_stamile324.pdf",
	abstract = "With the development of advanced image acquisition and processing techniques providing better biomarkers for the characterization of brain diseases, the automatic classification of biomedical imaging constitutes an important field in research. In this work, we describe a new fully automated random forest based method to classify multiple sclerosis clinical forms using information derived from diffusion tensor imaging. This method allows to identify: i) how each fiber-bundle contributes to the classification; ii) what diffusion metric is more descriptive to analyze the degeneration occurring in certain fiber-bundles..pdf",
}