Resultats globals: 5 registres trobats en 0.04 segons.
Articles, 4 registres trobats
Documents de recerca, 1 registres trobats
Articles 4 registres trobats  
1.
10 p, 1.4 MB Brain metabolic pattern analysis using a magnetic resonance spectra classification software in experimental stroke / Jiménez Xarrié, Elena (Institut d'Investigació Biomèdica de Sant Pau. Unitat de Malalties Vasculars Cerebrals) ; Dávila Huerta, Myriam (Universitat Autònoma de Barcelona. Departament de Bioquímica i Biologia Molecular) ; Candiota Silveira, Ana Paula (Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí") ; Delgado-Mederos, Raquel (Institut d'Investigació Biomèdica de Sant Pau. Unitat de Malalties Vasculars Cerebrals) ; Ortega-Martorell, Sandra (Liverpool John Moores University. Department of Applied Mathematics) ; 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 Biologia Molecular) ; Martí-Fàbregas, Joan (Institut d'Investigació Biomèdica de Sant Pau. Unitat de Malalties Vasculars Cerebrals)
Magnetic resonance spectroscopy (MRS) provides non-invasive information about the metabolic pattern of the brain parenchyma in vivo. The SpectraClassifier software performs MRS pattern-recognition by determining the spectral features (metabolites) which can be used objectively to classify spectra. [...]
2017 - 10.1186/s12868-016-0328-x
BMC Neuroscience, Vol. 18, issue 1 (Jan. 2017) , art. 13  
2.
11 p, 2.4 MB From raw data to data-analysis for magnetic resonance spectroscopy – the missing link : jMRUI2XML / Mocioiu, Victor (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Ortega-Martorell, Sandra (Liverpool John Moores University. Department of Mathematics and Statistics) ; Olier, Iván (University of Manchester. Institute of Population Health) ; Jablonski, Michal (Institute of Scientific Instruments of the CAS (Brno, República Txeca)) ; Starcukova, Jana (Institute of Scientific Instruments of the CAS (Brno, República Txeca)) ; Lisboa, Paulo J. G. (Liverpool John Moores University. Department of Mathematics and Statistics) ; Arús i Caraltó, Carles (Universitat Autònoma de Barcelona. Departament de Bioquímica i Biologia Molecular) ; Julià Sapé, Ma. Margarita (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular)
Background: Magnetic resonance spectroscopy provides metabolic information about living tissues in a non-invasive way. However, there are only few multi-centre clinical studies, mostly performed on a single scanner model or data format, as there is no flexible way of documenting and exchanging processed magnetic resonance spectroscopy data in digital format. [...]
2015 - 10.1186/s12859-015-0796-5
BMC Bioinformatics, Vol. 16, N. 378 (November 2015) , p. 1-11  
3.
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  
4.
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  

Documents de recerca 1 registres trobats  
1.
11 p, 316.1 KB Brain metabolic pattern analysis using a magnetic resonance spectra classification software in experimental stroke / Jiménez Xarrié, Elena (Institut d'Investigació Biomèdica Sant Pau)
2016
2 documents

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