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Listar por autor "Jiménez Gaona, Yuliana del Cisne"

RiuNet: Repositorio Institucional de la Universidad Politécnica de Valencia

Listar por autor "Jiménez Gaona, Yuliana del Cisne"

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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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    Deep-Learning-Based Computer- Aided Systems for Breast Cancer Imaging: A Critical Review 
    Jiménez-Gaona, Yuliana; Rodríguez Álvarez, María José; Lakshminarayanan, Vasudevan (MDPI AG, 2020-11)
    [EN] This paper provides a critical review of the literature on deep learning applications in breast tumor diagnosis using ultrasound and mammography images. It also summarizes recent advances in computer-aided diagnosis/detection ...
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    Identifying Demyelinating and Ischemia brain diseases through magnetic resonance images processing 
    Castillo, Darwin P.; Samaniego, René J.; Jimenez, Yuliana; Cuenca, Luis A.; Vivanco, Oscar A; Álvarez-Gómez, Juan Manuel; Rodríguez-Álvarez, María J. (IEEE, 2019-11-02)
    [EN] ¿Brain Magnetic Resonance Images are a very useful tool for the diagnosis of brain diseases and analyse brain changes. The appropriate processing (neuroimaging) can help to identify, measure and classify different ...
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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 ...