@InProceedings{FrancescoCiompi2010,
author="Francesco Ciompi
and Oriol Pujol
and E Fernandez-Nofrerias
and J. Mauri
and Petia Radeva",
title="Conditional Random Fields for image segmentation in Intravascular Ultrasound",
booktitle="Medical Image Computing in Catalunya: Graduate Student Workshop",
year="2010",
pages="13--14",
abstract="We present a Conditional Random Fields based approach for segmenting Intravascular Ultrasond (IVUS) images. The presented method uses a contextual discriminative graphical model to deal with the presence of distorsions and artifacts in IVUS images, that turns the segmentation of interesting regions into a difficult task. An accurate lumen segmentation on IVUS longitudinal images is achieved.",
optnote="MILAB;HUPBA",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1453), last updated on Thu, 18 Jan 2018 11:59:52 +0100"
}