[HTML][HTML] Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning
The clinical treatment planning of coronary heart disease requires hemodynamic
parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually …
parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually …
Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning
G Li, H Wang, M Zhang, S Tupin, A Qiao, Y Liu… - Communications …, 2021 - cir.nii.ac.jp
抄録< jats: title> Abstract</jats: title>< jats: p> The clinical treatment planning of coronary
heart disease requires hemodynamic parameters to provide proper guidance …
heart disease requires hemodynamic parameters to provide proper guidance …
[引用][C] Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning
G Li, H Wang, M Zhang, S Tupin, A Qiao, Y Liu, M Ohta… - 2021 - agris.fao.org
Anzai et al. propose a deep learning approach to estimate the 3D hemodynamics of
complex aorta-coronary artery geometry in the context of coronary artery bypass surgery …
complex aorta-coronary artery geometry in the context of coronary artery bypass surgery …
[HTML][HTML] Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning
G Li, H Wang, M Zhang, S Tupin, A Qiao… - Communications …, 2021 - ncbi.nlm.nih.gov
The clinical treatment planning of coronary heart disease requires hemodynamic
parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually …
parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually …
Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning
G Li, H Wang, M Zhang, S Tupin… - Communications …, 2021 - pubmed.ncbi.nlm.nih.gov
The clinical treatment planning of coronary heart disease requires hemodynamic
parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually …
parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually …
Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning
G Li, H Wang, M Zhang, S Tupin… - Communications …, 2021 - tohoku.elsevierpure.com
The clinical treatment planning of coronary heart disease requires hemodynamic
parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually …
parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually …
Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning.
G Li, H Wang, M Zhang, S Tupin, A Qiao… - Communications …, 2021 - europepmc.org
The clinical treatment planning of coronary heart disease requires hemodynamic
parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually …
parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually …
Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning
G Li, H Wang, M Zhang, S Tupin, A Qiao, Y Liu… - Communications …, 2021 - hal.science
The clinical treatment planning of coronary heart disease requires hemodynamic
parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually …
parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually …
Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning
L Gaoyang, H Wang, Z Mingzi, S Tupin… - Communications …, 2021 - search.proquest.com
The clinical treatment planning of coronary heart disease requires hemodynamic
parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually …
parameters to provide proper guidance. Computational fluid dynamics (CFD) is gradually …
[PDF][PDF] Prediction of 3D Cardiovascular hemodynamics before and after coronary artery bypass surgery via deep learning
G Li, H Wang, M Zhang, S Tupin, A Qiao, Y Liu, M Ohta… - hal.science
Results Prediction results of velocity field. When the preoperative and postoperative velocity
field datasets were used as inputs to the proposed deep learning network, the loss function …
field datasets were used as inputs to the proposed deep learning network, the loss function …