Výsledky vyhledávání - "Jose Carlos Antoranz"

Akademický článek

Age-Dependence of Flow Homeostasis in the Left Ventricle

Autor: Yolanda Benito, Pablo Martinez-Legazpi, Lorenzo Rossini, Candelas Pérez del Villar, Raquel Yotti, Yolanda Martín Peinador, Daniel Rodríguez-Pérez, M. Mar Desco, Constancio Medrano, Jose Carlos Antoranz, Francisco Fernández-Avilés, Juan C. del Álamo, Javier Bermejo

Publikováno v: Frontiers in Physiology, Vol 10 (2019)

Background: Intracardiac flow homeostasis requires avoiding blood stasis and platelet activation during its transit through the cardiac chambers. However, the foundations of intraventricular blood washout and its exposure to shear stresses have been

Externí odkaz: https://doaj.org/article/0e5d035a017144f293cfc2adc8c12161

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[P081] A population-based and mixed model approach for enhancing iodine biokinetics in radioiodine therapy for hyperthyroidism

Autor: Yolanda Santaella Guardiola, Antonio Orellana Salas, Jesús Melgar Pérez, Jose Carlos Antoranz Callejo

Publikováno v: Physica Medica. 52:124

Purpose Individualized calculation of radioiodine 131 I activity for the treatment of benign thyroid disease is imperative according to Euratom Directive 59/13. In general, measurements taken per patient are very limited to obtain an accurate estimat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::34b95af1cb442e8e98478ae61985898b
https://doi.org/10.1016/j.ejmp.2018.06.402

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Estimation of reference indices of left ventricular chamber function from echocardiographic images with multidimensional kernel methods

Autor: Santiago-Mozos, Ricardo, Rojo-Alvarez, Jose Luis, Jose Carlos Antoranz, Rodriguez, Daniel, Desco, Mar, Barrio, Alicia, Benito, Yolanda, Yotti, Raquel, Bermejo, Javier

Publikováno v: Scopus-Elsevier
ResearcherID
BURJC-Digital. Repositorio Institucional de la Universidad Rey Juan Carlos
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Advanced nonlinear estimation methods can compete with their linear counterparts for the estimation of left ventricular (LV) function indices from color-Doppler M-mode images. We benchmarked three methods: Support Vector Regression, Partial Least Squ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::994a27727fd7c1e2a4caa628b97052cb
http://www.scopus.com/inward/record.url?eid=2-s2.0-84875653614&partnerID=MN8TOARS