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Listar por autor "Jiménez-Partinen, Ariadna"
Mostrando ítems 1-5 de 5
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CADICA: A new dataset for coronary artery disease detectionby using invasive coronary angiograph
Jiménez-Partinen, Ariadna; Molina-Cabello, Miguel Ángel; Thurnhofer-Hemsi, Karl; Palomo-Ferrer, Esteban José; Rodríguez Capitán, Jorge; Molina Ramos, Ana Isabel; Jiménez-Navarro, Manuel Francisco[et al.] (Wiley, 2024)Coronary artery disease (CAD) remains the leading cause of death globally and invasive coronary angiography (ICA) is considered the gold standard of anatomical imaging evaluation when CAD is suspected. However, risk ... -
Deep learning for coronary artery disease severity classification
Jiménez-Partinen, Ariadna; Thurnhofer-Hemsi, Karl; Palomo-Ferrer, Esteban José; Molina-Ramos, Ana I. (2023)Medical imaging evaluations are one of the fields where computed-aid diagnosis could improve the efficiency of diagnosis supporting physician decisions. Cardiovascular Artery Disease (CAD) is diagnosed using the gold ... -
Innovations that empower teachers: the case of i-Spring to design tailor-made learning materials.
Montijano-Cabrera, María del Pilar; Jiménez-Partinen, Ariadna; Thurnhofer-Hemsi, Karl; Fernández-Rodríguez, Jose David (2023)Organizations must acknowledge the necessity of change and adopt diverse management strategies to swiftly adapt to the evolving technology and the new knowledge landscape. In the context of educational changes, an increasing ... -
Reliability Study of Inertial Sensors LIS2DH12 Compared to ActiGraph GT9X: Based on Free Code
Martín-Martín, Jaime; Jiménez-Partinen, Ariadna; De Torres García, Irene; Escriche-Escuder, Adrián; González-Sánchez, Manuel; Muro Culebras, Antonio Luis; Roldán-Jiménez, Cristina; Ruiz-Muñoz, María; Mayoral Cleries, Fermín; Biró, Attila; Tang, Wen; Nikolova, Borjanka; Salvatore, Alfredo; Cuesta-Vargas, Antonio[et al.] (IOAP-MPDI, 2022-05-05)The study’s purpose was to assess the reliability of the LIS2DH12 in two different positions, using the commercial sensor Actigraph GT9X as a reference instrument. Five participants completed two gait tests on a treadmill. ... -
Stenosis detection in coronary angiography images using deep learning models
Luque-Baena, Rafael Marcos; Romero Granados, Irene; Jiménez-Partinen, Ariadna; Palomo-Ferrer, Esteban José (2022)The emergence of deep learning has caused its massive application to different fields in industry and research, among which is the clinical field, especially in those where the data is structured in the form of images ...