A method of parameter estimation for cardiovascular hemodynamics based on deep learning and its application to personalize a reduced‐order model
Y Zhou, Y He, J Wu, C Cui, M Chen… - International Journal for …, 2022 - Wiley Online Library
Precise model personalization is a key step towards the application of cardiovascular
physical models. In this manuscript, we propose to use deep learning (DL) to solve the …
physical models. In this manuscript, we propose to use deep learning (DL) to solve the …
A method of parameter estimation for cardiovascular hemodynamics based on deep learning and its application to personalize a reduced-order model.
Y Zhou, Y He, J Wu, C Cui, M Chen… - International Journal for …, 2021 - europepmc.org
Precise model personalization is a key step towards the application of cardiovascular
physical models. In this manuscript, we propose to use deep learning (DL) to solve the …
physical models. In this manuscript, we propose to use deep learning (DL) to solve the …
A method of parameter estimation for cardiovascular hemodynamics based on deep learning and its application to personalize a reduced-order model
Y Zhou, Y He, J Wu, C Cui… - … journal for numerical …, 2022 - pubmed.ncbi.nlm.nih.gov
Precise model personalization is a key step towards the application of cardiovascular
physical models. In this manuscript, we propose to use deep learning (DL) to solve the …
physical models. In this manuscript, we propose to use deep learning (DL) to solve the …