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Listar por palabra clave "Magnetic resonance spectroscopy"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por palabra clave "Magnetic resonance spectroscopy"

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    Biomedical signal analysis in automatic classification problems 
    Fuster García, Elíes (Editorial Universitat Politècnica de València, 2012-09-20)
    A lo largo de la última década hemos asistido a un desarrollo sin precedentes de las tecnologías de la salud. Los avances en la informatización, la creación de redes, las técnicas de imagen, la robótica, las micro/nano ...
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    Compatibility between 3T 1H SV-MRS data and automatic brain tumour diagnosis support systems based on databases of 1.5T 1H SV-MRS spectra 
    Fuster García, Elíes; Navarro., Clara; Vicente Robledo, Javier; Tortajada Velert, Salvador; García Gómez, Juan Miguel; Sáez Silvestre, Carlos; Calvar ., Jorge; Griffiths ., John; Julia Sape, Margarita; Howe ., Franklyn A; Pujol ., Jesús; Peet ., Andrew C; Heerschap ., Arend; Moreno Torres, Àngel; Martínez-Bisbal, M.Carmen; Martinez Granados, Beatriz; Wesseling ., Pieter; Semmler ., Wolfhard; Capellades ., Jaume; Majós ., Carles; Alberich Bayarri, Ángel; Capdevila ., Antoni; Monleón ., Daniel; Marti Bonmati, Luis; Arús ., Carles; Celda ., Bernardo; Robles Viejo, Montserrat (Springer Verlag (Germany), 2011-02)
    Object: This study demonstrates that 3T SV-MRS data can be used with the currently available automatic brain tumour diagnostic classifiers which were trained on databases of 1.5T spectra. This will allow the existing large ...
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    Incremental gaussian discriminant analysis based on graybill and deal weighted combination of estimators for brain tumour diagnosis 
    Tortajada Velert, Salvador; Fuster García, Elíes; Vicente Robledo, Javier; Wesseling, Pieter; Howe, Franklyn; Julià-Sapé, Margarida; Candiota, Ana-Paula; Monleón, Daniel; Moreno-Torres, Àngel; Pujol, Jesús; Griffiths, Jonh R.; Wright, Alan; Peet, Andrew C.; Martínez-Bisbal, M. Carmen; Celda, Bernardo; Arús, Carles; Robles Viejo, Montserrat; García Gómez, Juan Miguel (Elsevier, 2011-08)
    In the last decade, machine learning (ML) techniques have been used for developing classifiers for automatic brain tumour diagnosis. However, the development of these ML models rely on a unique training set and learning ...
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    Magnetic resonance spectroscopy and imaging on fresh human brain tumor biopsies at microscopic resolution 
    Martínez-Bisbal, M.Carmen; Martínez-Granados, Beatriz; Rovira, Vicente; Celda, Bernardo; Esteve, Vicent (Springer Verlag (Germany), 2015-09)
    [EN] The metabolic compn. and concn. knowledge provided by magnetic resonance spectroscopy (MRS) liq. and high-resoln. magic angle spinning spectroscopy (HR-MAS) has a relevant impact in clin. practice during magnetic ...
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    Multi-parametric MR Imaging Biomarkers Associated to Clinical Outcomes in Gliomas: A Systematic Review 
    Oltra-Sastre, Miquel; Fuster García, Elíes; Juan -Albarracín, Javier; Sáez Silvestre, Carlos; Perez-Girbes, Alexandre; Sanz-Requena, Roberto; Revert-Ventura, Antonio; Mocholí Salcedo, Antonio; Urchueguía Schölzel, Javier Fermín; Hervás, Antonio; Reynes, Gaspar; Font-de-Mora, Jaime; Muñoz-Langa, Jose; Botella, Carlos; Aparici, Fernando; Garcia-Gomez, Juan M (Bentham Science, 2019)
    [EN] Purpose: To systematically review evidence regarding the association of multi-parametric biomarkers with clinical outcomes and their capacity to explain relevant subcompartments of gliomas. Materials and Methods: ...
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    Multiproject-multicenter evaluation of automatic brain tumor classification by magnetic resonance spectroscopy 
    Garcia-Gomez, Juan M; Luts, Jan; Julia-Sape, Margarida; Krooshof, Patrick; Tortajada Velert, Salvador; Vicente Robledo, Javier; Melssen, Willem; Fuster García, Elíes; Olier, Ivan; Postma, Geert; Monleon, Daniel; Moreno-Torres, Angel; Pujol, Jesus; Candiota, Ana-Paula; Martínez-Bisbal, M.Carmen; Suykens, Johan; Buydens, Lutgarde; Celda, Bernardo; Van Huffel, Sabine; Arus, Carles; Robles Viejo, Montserrat (Springer-Verlag, 2009-02)
    [EN] Automatic brain tumor classification by MRS has been under development for more than a decade. Nonetheless, to our knowledge, there are no published evaluations of predictive models with unseen cases that are subsequently ...
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    Workshop on reconstruction schemes for magnetic resonance data: summary of findings and recommendations 
    Ozturk-Isik, Esin; Marshall, Ian; Filipiak, Patryk; Benjamin, Arnold J. V.; Ones, Valia Guerra; Ortiz-Ramón, Rafael; Valdes Hernandez, Maria del C. (The Royal Society, 2017)
    [EN] The high fidelity reconstruction of compressed and low-resolution magnetic resonance (MR) data is essential for simultaneously improving patient care, accuracy in diagnosis and quality in clinical research. Sponsored ...