• Assessment of methods for volumetric quantification of intracerebral hematomas in computerized tomography images 

      Vera, Miguel; Huérfano, Yoleidy; Barrera, Doris; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Hernández, Carlos; Vivas, Marisela; Borrero, Maryury; Molina, Ángel Valentín; Martínez, Luis Javier; Salazar, Juan; Gelvez, Elkin; Contreras, Yudith; Sáenz, Frank (Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
      This work evaluates the performance of computational methods aimed at volume generation of five intracerebral hematomas (ICH), present in multi-layer computed tomography images, by means of three complementary steps. ...
    • Automatic segmentation of a cerebral glioblastoma using a smart computational technique 

      Vera, Miguel; Huérfano, Yoleidy; Valbuena, Oscar; Hoyos, Diego; Arias, Yeni; Contreras, Yudith; Salazar, Williams; Vera, María Isabel; Borrero, Maryury; Vivas, Marisela; Hernández, Carlos; Barrera, Doris; Molina, Ángel Valentín; Martínez, Luis Javier; Salazar, Juan; Gelvez, Elkin (Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
      We propose an intelligent computational technique for the image segmentation of a type IV brain tumor, identified as multiform glioblastoma (MGB), which is present in multi-layer computed tomography images. This technique ...
    • Automatic segmentation of a meningioma using a computational technique in magnetic resonance imaging 

      Vera, Miguel; Huérfano, Yoleidy; Molina, Ángel Valentín; Valbuena, Oscar; Vivas, Marisela; Cuberos, María; Salazar, Williams; Vera, María Isabel; Borrero, Maryury; Hernández, Carlos; Barrera, Doris; Martínez, Luis Javier; Salazar, Juan; Gelvez, Elkin; Contreras, Yudith; Sáenz, Frank (Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
      Through this work we propose a computational technique for the segmentation of a brain tumor, identified as meningioma (MGT), which is present in magnetic resonance images (MRI). This technique consists of 3 stages ...
    • Automatic segmentation of epidural hematomas using a computational technique based on intelligent operators: a clinical utility 

      Salazar, Juan; Vera, Miguel; Huérfano, Yoleidy; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Gelvez, Elkin; Contreras, Yudith; Borrero, Maryury; Vivas, Marisela; Barrera, Doris; Hernández, Carlos; Molina, Ángel Valentín; Martínez, Luis Javier; Sáenz, Frank (Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
      This paper proposes a non-linear computational technique for the segmentation of epidural hematomas (EDH), present in 7 multilayer computed tomography brain imaging databases. This technique consists of 3 stages developed ...
    • Digital processing of medical images: application in synthetic cardiac datasets using the CRISP_DM methodology 

      Contreras, Yudith; Vera, Miguel; Huérfano, Yoleidy; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Borrero, Maryury; Barrera, Doris; Hernández, Carlos; Molina, Ángel Valentín; Martínez, Luis Javier; Sáenz, Frank; Vivas, Marisela; Salazar, Juan; Gelvez, Elkin (Sociedad Latinoamericana de Hipertensión, 2018)
      In this work an adaptation of the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology, in the context of digital medical image processing is proposed. Specifically, synthetic images reported in the ...
    • High grade glioma segmentation in magnetic resonance imaging 

      Vera, Miguel; Huérfano, Yoleidy; Martínez, Luis Javier; Contreras, Yudith; Salazar, Williams; Vera, María Isabel; Valbuena, Oscar; Borrero, Maryury; Hernández, Carlos; Barrera, Doris; Molina, Ángel Valentín; Salazar, Juan; Gelvez, Elkin; Sáenz, Frank; Hoyos, Diego; Arias, Yeny (Sociedad Latinoamericana de Hipertensión, 2018)
      Through this work we propose a computational technique for the segmentation of magnetic resonance images (MRI) of a brain tumor, identified as high grade glioma (HGG), specifically grade III anaplastic astrocytoma. ...
    • Low grade glioma segmentation using an automatic computational technique in magnetic resonance imaging 

      Vera, Miguel; Huérfano, Yoleidy; Valbuena, Oscar; Contreras, Yudith; Cuberos, María; Vivas, Marisela; Salazar, Williams; Vera, María Isabel; Borrero, Maryury; Hernández, Carlos; Barrera, Doris; Molina, Ángel Valentín; Martínez, Luis Javier; Salazar, Juan; Gelvez, Elkin; Sáenz, Frank (Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
      Through this work we propose a computational technique for the segmentation of a brain tumor, identified as low grade glioma (LGG), specifically grade II astrocytoma, which is present in magnetic resonance images (MRI). ...
    • Una revisión actual de las técnicas computacionales para la caracterización de enfermedades vinculadas con la válvula aórtica 

      Valbuena, Oscar; Vera, Miguel; Borrero, Maryuri; Huérfano, Yuleidy; Capacho, Yulian (Sociedad Venezolana de HipertensiónSociedad Latinoamericana de Hipertensión, 2020)
      En los últimos años, los avances en imagenología médica estan cambiado la forma de obtener información anatómica y funcional de las estructuras vinculadas con el corazón, particularmente, de las válvulas cardíacas. En este ...
    • Semi-automated detection of aortic root in human heart MSCT images using nonlinear filtering and unsupervised clustering 

      Valbuena, Oscar; Vera, Miguel Ángel; Del Mar, Atilio; Roa, Felida Andreina; Bravo, Antonio José (Inderscience Publishers, 2021)
      Abstract: A semiautomatic technique to detect the aortic root in three-dimensional multi-slice computerised tomography images is proposed. Three steps are considered: conditioning, filtering, and detection. The conditioning ...
    • Smoothing filters in synthetic cerebral magnetic resonance images: A comparative study 

      Gelvez, Elkin; Vera, Miguel; Huérfano, Yoleidy; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Borrero, Maryury; Barrera, Doris; Hernández, Carlos; Molina, Ángel Valentín; Martínez, Luis Javier; Sáenz, Frank; Vivas, Marisela; Contreras, Julio; Restrepo, Jorge; Vanegas, Juan; Salazar, Juan; Contreras, Yudith (Sociedad Latinoamericana de Hipertensión, 2018)
      This paper presents the evaluation of two computational techniques for smoothing noise that might be present in synthetic images or numerical phantoms of magnetic resonance (MRI). The images that will serve as the ...
    • Volumetry of epidural hematomas in computed tomography images: Comparative study between linear and volumetric methods 

      Vera, Miguel; Huérfano, Yoleidy; Hernández, Carlos; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Barrera, Doris; Borrero, Maryury; Molina, Ángel Valentín; Martínez, Luis Javier; Salazar, Juan; Gelvez, Elkin; Contreras, Yudith; Saenz, Frank (Sociedad Latinoamericana de Hipertensión, 2018)
      This work evaluates the performance of some methods employed for assessing the volume of seven subdural hematomas (EDH), present in multi-layer computed tomography images. Firstly, a reference volume is considered to ...
    • Volumetry of subdural hematomas in computed tomography images: ABC methods versus an intelligent computational technique 

      Vera, Miguel; Huérfano, Yoleidy; Borrero, Maryury; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Barrera, Doris; Hernández, Carlos; Molina, Ángel Valentín; Martínez, Luis Javier; Salazar MSc, Juan; Gelvez, Elkin; Contreras, Yudith; Sáenz, Frank (Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
      This work evaluates the performance of some methods oriented towards the generation of the volume of four subdural hematomas (SDH), present in multi-layer computed tomography images. To do this, firstly, a reference ...