Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Cesar Acebes"'
Autor:
Silvia Bolaños, Cesar Acebes, Óscar Martínez-Expósito, José Antonio Boga, Javier Fernández, Carlos Rodríguez-Lucas
Publikováno v:
Antibiotics, Vol 13, Iss 7, p 641 (2024)
High-level delafloxacin-resistant (H-L DLX-R) Staphylococcus aureus isolates (minimum inhibitory concentration ≥1 mg/L) associated with mutations affecting position 84 of ParC have emerged. We aimed to elucidate the role of these mutations as a mec
Externí odkaz:
https://doaj.org/article/eb588cf9753049849a34cb78cb3c7874
Autor:
Álvaro Rodríguez-Pérez, Cristina Tello-Diaz, A. Carolina Vergara-Budding, Constanza Fernández-Vinzenzi, Abdel Hakim Moustafa, Cesar Acebes Pinilla, Antonino Ginel-Iglesias, Antonio J. Barros-Membrilla, Jaime Felix Dilme-Muñoz
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
Kommerell's diverticulum in association with left or right aberrant subclavian arteries is a rare finding and is challenging to treat. Contemporary surgical and endovascular techniques provide a broad arsenal of possible treatments. Imaging technique
Externí odkaz:
https://doaj.org/article/4d862c6385e6408fa23b133f2179ede6
Autor:
Xabier Morales Ferez, Jordi Mill, Kristine Aavild Juhl, Cesar Acebes, Xavier Iriart, Benoit Legghe, Hubert Cochet, Ole De Backer, Rasmus R. Paulsen, Oscar Camara
Publikováno v:
Frontiers in Physiology, Vol 12 (2021)
Patient-specific computational fluid dynamics (CFD) simulations can provide invaluable insight into the interaction of left atrial appendage (LAA) morphology, hemodynamics, and the formation of thrombi in atrial fibrillation (AF) patients. Nonetheles
Externí odkaz:
https://doaj.org/article/d5d4d8ae6e7e486a8c49d23183158290
Akademický článek
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Autor:
Oscar Camara, Xavier Iriart, Cesar Acebes, Hubert Cochet, Benoit Legghe, Xabier Morales Ferez, Kristine Aavild Juhl, Rasmus Reinhold Paulsen, Ole De Backer, Jordi Mill
Publikováno v:
Morales Ferez, X, Mill, J, Juhl, K A, Acebes, C, Iriart, X, Legghe, B, Cochet, H, De Backer, O, Paulsen, R R & Camara, O 2021, ' Deep Learning Framework for Real-Time Estimation of in-silico Thrombotic Risk Indices in the Left Atrial Appendage ', Frontiers in Physiology, vol. 12, 694945 . https://doi.org/10.3389/fphys.2021.694945
Frontiers in Physiology
Frontiers in Physiology, Vol 12 (2021)
Frontiers in Physiology
Frontiers in Physiology, Vol 12 (2021)
Patient-specific computational fluid dynamics (CFD) simulations can provide invaluable insight into the interaction of left atrial appendage (LAA) morphology, hemodynamics, and the formation of thrombi in atrial fibrillation (AF) patients. Nonetheles
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::761ebee2dc2ca15a6d54a15678ed0561
http://hdl.handle.net/10230/53539
http://hdl.handle.net/10230/53539
Publikováno v:
Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges ISBN: 9783030681067
M&Ms and EMIDEC/STACOM@MICCAI
M&Ms and EMIDEC/STACOM@MICCAI
Computational fluid dynamics (CFD) simulations have recently been used to assess haemodynamic implications of atrial fibrillation on geometrical meshes built from patient-specific data. Some deep learning architectures, such as Fully Connected Networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd56b417ba1d579b0cc5f273a1f30a08
https://doi.org/10.1007/978-3-030-68107-4_4
https://doi.org/10.1007/978-3-030-68107-4_4