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Listar por palabra clave "Brain MRI"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por palabra clave "Brain MRI"

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    Assessment of mesial temporal sclerosis through MRI processing 
    Castillo-Malla, Darwin Patricio; Samaniego, R.; Jimenez-Gaona, Yuliana; Sánchez, A.; Carrión, J.; Rodríguez-Álvarez, M. J. (SPIE, The International Society for Optical Engineering, 2020-08-20)
    [EN] Mesial temporal sclerosis (MTS) is the principal cause of complex epilepsy, is manifested principally by gliosis and hippocampal volume loss. This project aims to develop an algorithm that allows automatic measurement ...
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    MR Images, Brain Lesions, and Deep Learning 
    Castillo, Darwin; Lakshminarayanan, Vasudevan; Rodríguez-Álvarez, MJ (MDPI AG, 2021-02-13)
    [EN] Medical brain image analysis is a necessary step in computer-assisted/computer-aided diagnosis (CAD) systems. Advancements in both hardware and software in the past few years have led to improved segmentation and ...
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    MRI texture-based radiomics analysis for the identification of altered functional networks in alcoholic patients and animal models 
    Ruiz-España, Silvia; Ortiz-Ramón, Rafael; Pérez-Ramírez, María Úrsula; Díaz-Parra, Antonio; Ciccocioppo, Roberto; Bach, Patrick; Vollstädt-Klein, Sabine; Kiefer, Falk; Sommer, Wolfgang H.; Canals, Santiago; Moratal, David (Elsevier, 2023-03)
    [EN] Alcohol use disorder (AUD) is a complex condition representing a leading risk factor for death, disease and disability. Its high prevalence and severe health consequences make necessary a better understanding of the ...
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    MTS image analyzer: a software tool to identify mesial temporal sclerosis in MRI images 
    Castillo, D.; Macas, J.; Samaniego, R.; Jiménez, Y.; Díaz, P.; Rodríguez-Álvarez, M. J.; Lakshminarayanan, Vasudevan (SPIE, The International Society for Optical Engineering, 2021-08-01)
    [EN] Epilepsy is a chronic neurological disorder that causes unprovoked and recurrent seizures which according to WHO affects approximately 50 million people worldwide. Functional magnetic resonance images (MRI) help to ...