Articles

Articles 16 records found  previous11 - 16  jump to record: Search took 0.00 seconds. 
11.
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  
12.
20 p, 570.3 KB Non-negative matrix factorisation methods for the spectral decomposition of MRS data from human brain tumours / Ortega-Martorell, Sandra (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Lisboa, Paulo J. G. (Liverpool John Moores University. Department of Mathematics and Statistics) ; Vellido, Alfredo (Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics) ; Julià Sapé, Ma. Margarita (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Background: In-vivo single voxel proton magnetic resonance spectroscopy (SV 1H-MRS), coupled with supervised pattern recognition (PR) methods, has been widely used in clinical studies of discrimination of brain tumour types and follow-up of patients bearing abnormal brain masses. [...]
2012 - 10.1186/1471-2105-13-38
BMC Bioinformatics, Vol. 13, N. 38 (March 2012) , p. 1-20  
13.
17 p, 2.5 MB DCE@urLAB : a dynamic contrast-enhanced MRI pharmacokinetic analysis tool for preclinical data / Ortuño, Juan E. (CIBER de Bioingeniería, Biomateriales y Nanomedicina (Saragosssa, Aragó)) ; Ledesma Carbayo, María J. (Universidad Politécnica de Madrid. Departamento de Ingeniería Electrónica) ; Simões, Rui V. (Universitat de Barcelona) ; Candiota Silveira, Ana Paula (Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí") ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Santos, Andrés (CIBER de Bioingeniería, Biomateriales y Nanomedicina (Saragosssa, Aragó))
Background: DCE@urLAB is a software application for analysis of dynamic contrast-enhanced magnetic resonance imaging data (DCE-MRI). The tool incorporates a friendly graphical user interface (GUI) to interactively select and analyze a region of interest (ROI) within the image set, taking into account the tissue concentration of the contrast agent (CA) and its effect on pixel intensity. [...]
2013 - 10.1186/1471-2105-14-316
BMC Bioinformatics, Vol. 14, N. 316 (November 2013) , p. 1-17  
14.
12 p, 816.6 KB The INTERPRET Decision-Support System version 3.0 for evaluation of Magnetic Resonance Spectroscopy data from human brain tumours and other abnormal brain masses / Pérez Ruiz, Alexander (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Julià Sapé, Ma. Margarita (Universitat Autònoma de Barcelona. Departament de Bioquímica i Biologia Molecular) ; Mercadal, Guillem (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Olier, Iván (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Majós, Carles (Institut de Diagnòstic per la Imatge) ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Background: Proton Magnetic Resonance (MR) Spectroscopy (MRS) is a widely available technique for those clinical centres equipped with MR scanners. Unlike the rest of MR-based techniques, MRS yields not images but spectra of metabolites in the tissues. [...]
2010 - 10.1186/1471-2105-11-581
BMC Bioinformatics, Vol. 11 N. 581 (November 2010) , p. 1-12  
15.
14 p, 1.6 MB SpectraClassifier 1.0 : a user friendly, automated MRS-based classifier-development system / Ortega-Martorell, Sandra (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Olier, Iván (Universitat Autònoma de Barcelona. Institut de Neurociències) ; Julià Sapé, Ma. Margarita (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Background: SpectraClassifier (SC) is a Java solution for designing and implementing Magnetic Resonance Spectroscopy (MRS)-based classifiers. The main goal of SC is to allow users with minimum background knowledge of multivariate statistics to perform a fully automated pattern recognition analysis. [...]
2010 - 10.1186/1471-2105-11-106
BMC Bioinformatics, Vol. 11, N. 106 (February 2010) , p. 1-14  
16.
17 p, 1.5 MB Convex non-negative matrix factorization for brain tumor delimitation from MRSI data. / Ortega-Martorell, Sandra (Universitat Autònoma de Barcelona. Departament de Bioquímica i Biologia Molecular) ; Lisboa, P. J. G. (Liverpool John Moores University. Department of Mathematics and Statistics) ; Vellido, Alfredo (Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics) ; Simões, Rui V. (Memorial Sloan-Kettering Cancer Center (Nova York, Estats Units d’Amèrica). Department of Medical Physics) ; Pumarola i Batlle, Martí (Universitat Autònoma de Barcelona. Departament de Medicina i Cirurgia Animals) ; Julià Sapé, Ma. Margarita (Universitat Autònoma de Barcelona. Departament de Bioquímica i Biologia Molecular) ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i Biologia Molecular)
Background: Pattern Recognition techniques can provide invaluable insights in the field of neuro-oncology. This is because the clinical analysis of brain tumors requires the use of non-invasive methods that generate complex data in electronic format. [...]
2012 - 10.1371/journal.pone.0047824
PLoS one, Vol. 7, Issue 10 (October 2012) , p. e47824  

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