• 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)
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      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)
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      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. ...
    • Exploratory characterization of outliers in a multi-centre 1H-MRS brain tumour dataset 

      Vellido Alcacena, Alfredo; Julià Sapé, Margarida; Romero Merino, Enrique; Arús, Carles (2008-09)
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      As part of the AIDTumour research project, the analysis of MRS data corresponding to various tumour pathologies is used to assist expert diagnosis. The high dimensionality of the MR spectra might obscure atypical aspects ...
    • Feature selection for the prediction and visualization of brain tumor types using proton magnetic resonance spectroscopy data 

      González Navarro, Félix Fernando; Belanche Muñoz, Luis Antonio (Springer, 2012)
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      In cancer diagnosis, classification of the different tumor types is of great importance. An accurate prediction of basic tumor types provides better treatment and may minimize the negative impact of incorrectly targeted ...
    • Rule-based assistance to brain tumour diagnosis using LR-FIR 

      Nebot Castells, M. Àngela; Castro Espinoza, Félix Agustín; Vellido Alcacena, Alfredo; Julià Sapé, Margarida; Arús, Carles (2008-09)
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      This paper describes a process of rule-extraction from a multi-centre brain tumour database consisting of nuclear magnetic res- onance spectroscopic signals. The expert diagnosis of human brain tumours can benefit from ...
    • Rule-based assistance to brain tumour diagnosis using LR-FIR 

      Nebot Castells, M. Àngela; Castro Espinoza, Félix Agustín; Vellido Alcacena, Alfredo; Julià Sapé, Margarida; Arús, Carles (Future Technology Press, 2009-01-31)
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      This paper describes a process of rule-extraction from a multi-centre brain tumour database consisting of nuclear magnetic res- onance spectroscopic signals. The expert diagnosis of human brain tumours can benefit from ...