Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Pau Romero"'
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
Autor:
Dolors Serra, Pau Romero, Ignacio Garcia-Fernandez, Miguel Lozano, Alejandro Liberos, Miguel Rodrigo, Alfonso Bueno-Orovio, Antonio Berruezo, Rafael Sebastian
Publikováno v:
Mathematics, Vol 10, Iss 8, p 1293 (2022)
Personalized cardiac electrophysiology simulations have demonstrated great potential to study cardiac arrhythmias and help in therapy planning of radio-frequency ablation. Its application to analyze vulnerability to ventricular tachycardia and sudden
Externí odkaz:
https://doaj.org/article/da89dd12013c464aab0a89106ea2fa42
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:
'Pau Romero, Miguel Lozano, Giada Sira Romitti, Dolors Serra, Ignacio Garcia-Fernandez, Alejandro Liberos, Miguel Rodrigo, Rafael Sebastian\\'
Publikováno v:
Computing in Cardiology Conference (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df60fef6c4db7597dd800ae8a789ef37
https://doi.org/10.22489/cinc.2022.400
https://doi.org/10.22489/cinc.2022.400
Autor:
'Giada Sira Romitti, Pau Romero de Antonio, Alejandro Liberos Mascarell, Dolors Serra Almor, Ignacio García Fernandez, Miguel Lozano Ibañez, Rafael Sebastian Aguilar, Miguel Rodrigo Bort\\'
Publikováno v:
Computing in Cardiology Conference (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e49d4ee419d10f9efd9e1e5b5983af0d
https://doi.org/10.22489/cinc.2022.258
https://doi.org/10.22489/cinc.2022.258
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:
Dolors Serra, Pau Romero, Miguel Lozano, Ignacio Garcia-Fernandez, Alejandro Liberos, Miguel Rodrigo, Antonio Berruezo, Alfonso Bueno-Orovio, Rafael Sebastian
Publikováno v:
2021 Computing in Cardiology (CinC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::849567f36fe0378a00385561db6b0c1b
https://doi.org/10.23919/cinc53138.2021.9662767
https://doi.org/10.23919/cinc53138.2021.9662767
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
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
Publikováno v:
Functional Imaging and Modeling of the Heart ISBN: 9783030787097
FIMH
FIMH
The ellipse can be an appropriate geometry for aorta cross-section fitting on the lumen contour. However, in some regions of the aorta, such as the Sinuses of Valsalva, this approximation can suffer of a relatively high error. Thus, some authors use
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab4596ab4b2673412ee262ae52bfac6a
https://doi.org/10.1007/978-3-030-78710-3_9
https://doi.org/10.1007/978-3-030-78710-3_9