Resultados globales: 6 registros encontrados en 0.02 segundos.
Artículos, Encontrados 5 registros
Documentos de investigación, Encontrados 1 registros
Artículos Encontrados 5 registros  
1.
21 p, 4.1 MB Embedding MRI information into MRSI data source extraction improves brain tumour delineation in animal models / Ortega-Martorell, Sandra (Liverpool John Moores University. Department of Applied Mathematics) ; Candiota Silveira, Ana Paula (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Thomson, Ryan (Liverpool John Moores University. Department of Applied Mathematics) ; Riley, Patrick (Liverpool John Moores University. Department of Applied Mathematics) ; Julià Sapé, Ma. Margarita (Universitat Autònoma de Barcelona. Departament de Bioquímica i de Biologia Molecular) ; Olier, Ivan (Liverpool John Moores University. Department of Applied Mathematics) ; Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí"
Glioblastoma is the most frequent malignant intra-cranial tumour. Magnetic resonance imaging is the modality of choice in diagnosis, aggressiveness assessment, and follow-up. However, there are examples where it lacks diagnostic accuracy. [...]
2019 - 10.1371/journal.pone.0220809
PloS one, Vol. 14, Núm. 8 (2019) , art. e0220809  
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 (Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí")
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) ; Universitat Autònoma de Barcelona. Institut de Biotecnologia i de Biomedicina "Vicent Villar Palasí"
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.
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  
5.
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  

Documentos de investigación Encontrados 1 registros  
1.
1 p, 172.6 KB MRI-MRSI-GL261 mice / Ortega-Martorell, Sandra (Liverpool John Moores University. Department of Applied Mathematics) ; Candiota Silveira, Ana Paula (Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN)) ; Thomson, Ryan (Liverpool John Moores University. Department of Applied Mathematics) ; Julià Sapé, Ma. Margarita (Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN)) ; Olier, Ivan (Liverpool John Moores University. Department of Applied Mathematics) ; Universitat Autònoma de Barcelona. Departament de Bioquímica i Biologia Molecular
MRI/MRSI data from GL261 tumor-bearing mice, from Bruker vendor.
Universitat Autònoma de Barcelona 2017 - 10.5565/ddd.uab.cat/201551
2 documentos

Vea también: autores con nombres similares
6 Olier, Iván
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