@inproceedings{
    Goncalves2009,
    author = {Gonçalves, Nicolau and Nikkil{\"a}, Janne and Vig{\'a}rio, Ricardo},
    comment = {Mario K\"{o}ppen and Nikola Kasabov and George Coghill},
    isbn = "978-3-642-03039-0",
    eventdetails = "15th International Conference on Neural Information Processing, {ICONIP 2008}, New Zealand, 25 November 2008 - 28 November 2008",
    abstract = "Magnetic resonance imaging (MRI) is a imaging and diagnostic tool widely used, with excellent spatial resolution, and efficient in distinguishing between soft tissues. Here, we present a method for semiautomatic identification of brain tissues in MRI, based on a combination of machine learning approaches. Our approach uses self-organising maps (SOMs) for voxel labelling, which are used to seed the discriminative clustering (DC) classification algorithm. This method reduces the intensive need for a specialist, and allows for a rather systematic follow-up of the evolution of brain lesions, or their treatment.",
    il = "yes",
    file = "Goncalves2009.pdf:Goncalves2009.pdf:PDF",
    year = "2009",
    owner = "ngoncalv",
    title = "Partial Clustering for Tissue Segmentation in {MRI}",
    booktitle = "Proceedings of ICONIP 2008",
    juforank = "1",
    unitcode = "T306-100",
    impactfactor = "A4",
    timestamp = "2009.05.28",
    volume = "LNCS 5507",
    internalpdf = "Goncalves2009.pdf",
    kay = "C",
    pages = "559-566",
    responsibleauthor = "Gon\c{c}alves, Nicolau",
    doi = "10.1007/978-3-642-03040-6",
    language = "eng",
    keyword = "Computer Science",
    url = "http://www.springerlink.com/content/233437505k3627x6/",
    flags = "public airc"
}