Exploració per autor "Vilamala Muñoz, Albert"

Ara es mostren els items 1-5 de 5

    • A MAP approach for convex non-negative matrix factorization in the diagnosis of brain tumors 

      Vilamala Muñoz, Albert; Belanche Muñoz, Luis Antonio; Vellido Alcacena, Alfredo (2014)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Convex non-negative matrix factorization is a blind signal separation technique that has previously demonstrated to be well-suited for the task of human brain tumor diagnosis from magnetic resonance spectroscopy data. This ...

    • Bayesian semi non-negative matrix factorisation 

      Vilamala Muñoz, Albert; Vellido Alcacena, Alfredo; Belanche Muñoz, Luis Antonio (I6doc.com, 2016)
      Text en actes de congrés
      Accés obert
      Non-negative Matrix Factorisation (NMF) has become a standard method for source identification when data, sources and mixing coefficients are constrained to be positive-valued. The method has recently been extended to allow ...

    • Classifying malignant brain tumours from 1H-MRS data using Breadth Ensemble Learning 

      Vilamala Muñoz, Albert; Belanche Muñoz, Luis Antonio; Vellido Alcacena, Alfredo (Institute of Electrical and Electronics Engineers (IEEE), 2012)
      Text en actes de congrés
      Accés obert
      In neuro oncology, the accurate diagnostic identification and characterization of tumours is paramount for determining their prognosis and the adequate course of treatment. This is usually a difficult problem per se, due ...

    • Discriminant convex non-negative matrix factorization for the classification of human brain tumours 

      Vilamala Muñoz, Albert; Lisboa, Paulo J G; Ortega Martorell, Sandra; Vellido Alcacena, Alfredo (2013-10-15)
      Article
      Accés restringit per política de l'editorial
      The medical analysis of human brain tumours commonly relies on indirect measurements. Among these, magnetic resonance imaging (MRI) and spectroscopy (MRS) predominate in clinical settings as tools for diagnostic assistance. ...

    • Multivariate methods for interpretable analysis of magnetic resonance spectroscopy data in brain tumour diagnosis 

      Vilamala Muñoz, Albert (Universitat Politècnica de Catalunya, 2015-12-18)
      Tesi
      Accés obert
      Malignant tumours of the brain represent one of the most difficult to treat types of cancer due to the sensitive organ they affect. Clinical management of the pathology becomes even more intricate as the tumour mass increases ...