Deep Learning Framework for Real-Time Estimation of in-silico Thrombotic Risk Indices in the Left Atrial Appendage

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. Nonetheless, CFD solvers are notoriously time-consuming and...

Descripció completa

Guardat en:
Dades bibliogràfiques
Publicat a:Front Physiol
Autors principals: Morales Ferez, Xabier, Mill, Jordi, Juhl, Kristine Aavild, Acebes, Cesar, Iriart, Xavier, Legghe, Benoit, Cochet, Hubert, De Backer, Ole, Paulsen, Rasmus R., Camara, Oscar
Format: Artigo
Idioma:Inglês
Publicat: Frontiers Media S.A. 2021
Matèries:
Physiology
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC8274486/
https://ncbi.nlm.nih.gov/pubmed/34262482
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fphys.2021.694945
Etiquetes: Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!

Ítems similars