Browsing by Author "Vilamala Muñoz, Albert"
Vilamala Muñoz, Albert; Belanche Muñoz, Luis Antonio; Vellido Alcacena, Alfredo (2014)
Restricted access - publisher's policyConvex 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 ...
Vilamala Muñoz, Albert; Vellido Alcacena, Alfredo; Belanche Muñoz, Luis Antonio (I6doc.com, 2016)
Open AccessNon-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 ...
Vilamala Muñoz, Albert; Belanche Muñoz, Luis Antonio; Vellido Alcacena, Alfredo (Institute of Electrical and Electronics Engineers (IEEE), 2012)
Open AccessIn 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)
Restricted access - publisher's policyThe 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)
Open AccessMalignant 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 ...