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14 p, 1.1 MB A Novel Semi-Supervised Methodology for Extracting Tumor Type-Specific MRS Sources in Human Brain Data / Ortega-Martorell, Sandra (Liverpool John Moores University. Department of Mathematics and Statistics) ; Ruiz, Héctor (Liverpool John Moores University. Department of Mathematics and Statistics) ; Vellido, Alfredo (Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics) ; Olier, Iván (University of Manchester. Institute of Population Health) ; Romero, Enrique (Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics) ; Julià Sapé, Ma. Margarita (Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN)) ; Martín, José D. (Universidad de Valencia. Departamento de Ingeniería Electrónica.) ; Jarman, Ian H. (Liverpool John Moores University. Department of Mathematics and Statistics) ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Lisboa, Paulo J. G. (Liverpool John Moores University. Department of Mathematics and Statistics)
Background: the clinical investigation of human brain tumors often starts with a non-invasive imaging study, providing information about the tumor extent and location, but little insight into the biochemistry of the analyzed tissue. [...]
2013 - 10.1371/journal.pone.0083773
PLoS one, Vol. 8 Issue 12 (December 2013) , p. e83773  

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