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Browsing by Author "Romero Gómez, José Enrique"

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Browsing by Author "Romero Gómez, José Enrique"

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    CERES: A new cerebellum lobule segmentation method 
    Romero Gómez, José Enrique; Coupe, Pierrick; Giraud, Remi; Ta, Vinh-Thong; Fonov, Vladimir; Park, Min Tae M; Chalcravarty, M. Mallar; Voineskos, Aristotle N.; Manjón Herrera, José Vicente (Elsevier, 2017)
    [EN] The human cerebellum is involved in language, motor tasks and cognitive processes such as attention or emotional processing. Therefore, an automatic and accurate segmentation method is highly desirable to measure and ...
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    Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images 
    Carass, Aaron; Cuzzocreo, Jennifer L.; Han, Shuo; Hernandez-Castillo, Carlos R.; Rasser, Paul E.; Ganz, Melanie; Beliveau, Vincent; Dolz, Jose; Ben Ayed, Ismail; Desrosiers, Christian; Thyreau, Benjamin; Romero Gómez, José Enrique; Coupe, Pierrick; Manjón Herrera, José Vicente; Fonov, Vladimir (Elsevier, 2018-12)
    [EN] The human cerebellum plays an essential role in motor control, is involved in cognitive function (i.e., attention, working memory, and language), and helps to regulate emotional responses. Quantitative in-vivo assessment ...
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    HIPS: A new hippocampus subfield segmentation method 
    Romero Gómez, José Enrique; Coupe, Pierrick; Manjón Herrera, José Vicente (Elsevier, 2017-12)
    [EN] The importance of the hippocampus in the study of several neurodegenerative diseases such as Alzheimer's disease makes it a structure of great interest in neuroimaging. However, few segmentation methods have been ...
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    NABS: non-local automatic brain hemisphere segmentation 
    Romero Gómez, José Enrique; Manjón Herrera, José Vicente; Tohka, Jussi; Coupé, Pierrick; Robles Viejo, Montserrat (Elsevier, 2015-05)
    In this paper, we propose an automatic method to segment the five main brain sub-regions (i.e. left/right hemispheres, left/right cerebellum and brainstem) from magnetic resonance images. The proposed method uses a library ...
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    Non-local intracranial cavity extraction 
    Manjón Herrera, José Vicente; Eskildsen, Simon F.; Coupé, Pierrick; Romero Gómez, José Enrique; Collins, Louis; Robles Viejo, Montserrat (Hindawi Publishing Corporation, 2014-09-28)
    [EN] Automatic and accurate methods to estimate normalized regional brain volumes from MRI data are valuable tools which may help to obtain an objective diagnosis and followup of many neurological diseases. To estimate ...
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    Nuevos métodos para el análisis automático del volumen de estructuras cerebrales a partir de imágenes de resonancia magnética nuclear 
    Romero Gómez, José Enrique (Universitat Politècnica de València, 2018-07-27)
    En la actualidad, la medicina y en especial el área de imagen médica, ha sido uno de los campos de la ciencia que más se ha beneficiado de las tecnologías de la información. En esta tesis nos centramos en las imágenes de ...
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    Regional hippocampal vulnerability in early multiple sclerosis: a dynamic pathological spreading from dentate gyrus to CA1 
    Planche, Vicent; Koubiyr, Ismail; Romero Gómez, José Enrique; Manjón Herrera, José Vicente; Coupe, Pierrick; Deloire, Mathilde; Dousset, Vincent; Brochet, Bruno; Ruet, Aurélie; Tourdias, Thomas (John Wiley & Sons, 2018-04)
    [EN] Background: Whether hippocampal subfields are differentially vulnerable at the earliest stages of multiple sclerosis (MS) and how this impacts memory performance is a current topic of debate. Method: We prospectively ...
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    Software para el estudio del volumen de estructuras corticales en imágenes de RMN cerebrales 
    Romero Gómez, José Enrique (Universitat Politècnica de València, 2012-01-02)
    El estudio del volumen intracraneal requiere del uso de herramientas que permitan objetivar el diagnóstico y ofrezcan un rendimiento y precisión elevados. La segmentación automática del volumen cerebral es el primer paso ...