A Novel Semi-Supervised Methodology for Extracting Tumor Type-Specific MRS Sources in Human Brain Data

• Sandra Ortega-Martorell,

  Affiliation Department of Mathematics and Statistics, Liverpool John Moores University, Liverpool, United Kingdom

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• Héctor Ruiz,

  Affiliation Department of Mathematics and Statistics, Liverpool John Moores University, Liverpool, United Kingdom

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• Alfredo Vellido,

  Affiliation Department of Computer Languages and Systems, Universitat Politècnica de Catalunya - BarcelonaTech, Barcelona, Spain

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• Iván Olier,

  Affiliation Institute of Population Health, The University of Manchester, Manchester, United Kingdom

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• Enrique Romero,

  Affiliation Department of Computer Languages and Systems, Universitat Politècnica de Catalunya - BarcelonaTech, Barcelona, Spain

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• Margarida Julià-Sapé,

  Affiliations Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Vallès, Spain, Departament de Bioquímica i Biología Molecular, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain, Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain

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• José D. Martín,

  Affiliation Departamento de Ingeniería Electrónica, Universidad de Valencia, Burjassot, Spain

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• Ian H. Jarman,

  Affiliation Department of Mathematics and Statistics, Liverpool John Moores University, Liverpool, United Kingdom

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• Carles Arús,

  Affiliations Departament de Bioquímica i Biología Molecular, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain, Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Vallès, Spain, Institut de Biotecnologia i de Biomedicina, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain

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• Paulo J. G. Lisboa

  * E-mail: P.J.Lisboa@ljmu.ac.uk

  Affiliation Department of Mathematics and Statistics, Liverpool John Moores University, Liverpool, United Kingdom

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