Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Ignacio García-Fernández"'
Autor:
Pau Romero, Miguel Lozano, Francisco Martínez-Gil, Dolors Serra, Rafael Sebastián, Pablo Lamata, Ignacio García-Fernández
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
The combination of machine learning methods together with computational modeling and simulation of the cardiovascular system brings the possibility of obtaining very valuable information about new therapies or clinical devices through in-silico exper
Externí odkaz:
https://doaj.org/article/3720adf61ae8450b91959633ab26d7cb
Publikováno v:
Modelling in Science Education and Learning, Vol 12, Iss 1, Pp 31-46 (2019)
While mathematics courses are a basic topic in engineering studies, they are often considered as a difficult subject by students. In this work we present a learning experience based on computer animation and using the perspective of mathematical mode
Externí odkaz:
https://doaj.org/article/5457fe780c674258950791d915c406bb
Autor:
Francisco Martinez-Gil, Miguel Lozano, Ignacio García-Fernández, Pau Romero, Dolors Serra, Rafael Sebastián
Publikováno v:
Mathematics, Vol 8, Iss 9, p 1479 (2020)
Reinforcement learning is one of the most promising machine learning techniques to get intelligent behaviors for embodied agents in simulations. The output of the classic Temporal Difference family of Reinforcement Learning algorithms adopts the form
Externí odkaz:
https://doaj.org/article/75d2d27e05b04d70aa077f95e941c310
Autor:
Eduardo Jorge Godoy, Miguel Lozano, Ignacio García-Fernández, Ana Ferrer-Albero, Rob MacLeod, Javier Saiz, Rafael Sebastian
Publikováno v:
Frontiers in Physiology, Vol 9 (2018)
Introduction: Focal atrial tachycardia is commonly treated by radio frequency ablation with an acceptable long-term success. Although the location of ectopic foci tends to appear in specific hot-spots, they can be located virtually in any atrial regi
Externí odkaz:
https://doaj.org/article/d84ea5c7e1d64462bcd173c44bf24193
Autor:
Josselin Duchateau, Edward J. Vigmond, Michel Haïssaguerre, Fernando Barber, Mélèze Hocini, Rafael Sebastian, Miguel Lozano, Ignacio García-Fernández, Peter Langfield
Publikováno v:
IEEE Transactions on Medical Imaging. 40:2182-2194
The Purkinje system is a heart structure responsible for transmitting electrical impulses through the ventricles in a fast and coordinated way to trigger mechanical contraction. Estimating a patient-specific compatible Purkinje Network from an electr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4e89d98df49b59ee51586bb57b6dadc
https://doi.org/10.1109/tmi.2021.3073499
https://doi.org/10.1109/tmi.2021.3073499
Autor:
Dolors Serra, Paula Franco, Pau Romero, Ignacio García-Fernández, Miguel Lozano, David Soto, Diego Penela, Antonio Berruezo, Oscar Camara, Rafael Sebastian
Publikováno v:
Statistical Atlases and Computational Models of the Heart. Regular and CMRxMotion Challenge Papers ISBN: 9783031234422
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3d076c47c386e80ae527a8e7b870f58
https://doi.org/10.1007/978-3-031-23443-9_6
https://doi.org/10.1007/978-3-031-23443-9_6
Autor:
Francisco Martinez-Gil, Pau Romero, Pablo Lamata, Miguel Lozano, Dolors Serra, Ignacio García-Fernández, Rafael Sebastian
Publikováno v:
Frontiers in Physiology
Frontiers in Physiology, Vol 12 (2021)
Frontiers in Physiology, Vol 12 (2021)
The combination of machine learning methods together with computational modeling and simulation of the cardiovascular system brings the possibility of obtaining very valuable information about new therapies or clinical devices through in-silico exper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::74de1152265a8dbed5a05907b8d96be0
http://europepmc.org/articles/PMC8440937
http://europepmc.org/articles/PMC8440937
Publikováno v:
Modelling in Science Education and Learning, Vol 12, Iss 1, Pp 31-46 (2019)
Pla i Castells, Marta García Fernández, Ignacio Gimeno Sancho, Jesús Ferrando Palomares, Irene 2019 Computer Animation to teach interpolation Modelling in Science Education and Learning 12 1 31 46
RODERIC. Repositorio Institucional de la Universitat de Valéncia
instname
Pla i Castells, Marta García Fernández, Ignacio Gimeno Sancho, Jesús Ferrando Palomares, Irene 2019 Computer Animation to teach interpolation Modelling in Science Education and Learning 12 1 31 46
RODERIC. Repositorio Institucional de la Universitat de Valéncia
instname
Aunque las asignaturas de matemáticas son un tema básico en los estudios de una ingeniería, a menudo son considerados por los estudiantes como una asignatura difícil. En este trabajo presentamos una experiencia de aprendizaje basada en la animaci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7675f7996efe9c34fe643a8c71c2fe3d
https://polipapers.upv.es/index.php/MSEL/article/view/10976
https://polipapers.upv.es/index.php/MSEL/article/view/10976
Publikováno v:
Medicina General y de Familia. 8:151-160
espanolObjetivo. Evaluar las caracteristicas de la ruta asistencial del paciente adulto con dolor cronico articular en Espana. Esta informacion sera de utilidad para optimizar la calidad asistencial en beneficio de paciente y de la disminucion de la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9630130ba4d34fc257f15b3678adebc6
https://doi.org/10.24038/mgyf.2019.048
https://doi.org/10.24038/mgyf.2019.048
Autor:
Miguel Rodrigo, Alfonso Bueno-Orovio, Alejandro Liberos, Pau Romero, Dolors Serra, Ignacio García-Fernández, Miguel Lozano, Antonio Berruezo, Rafael Sebastian
Publikováno v:
Functional Imaging and Modeling of the Heart ISBN: 9783030787097
FIMH
FIMH
Patients that have suffered a myocardial infarction are at lifetime high risk for sudden cardiac death (SCD). Personalized 3D computational modeling and simulation can help to find non-invasively arrhythmogenic features of patients’ infarcts, and t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a0c0e5e88292272f84abfa6c1690af3
https://doi.org/10.1007/978-3-030-78710-3_51
https://doi.org/10.1007/978-3-030-78710-3_51