Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology

X Zhang, B Mao, Y Che, J Kang, M Luo, A Qiao… - Computers in Biology …, 2023 - Elsevier
Hemodynamic parameters are of great significance in the clinical diagnosis and treatment of
cardiovascular diseases. However, noninvasive, real-time and accurate acquisition of …
被引用次数：8 相关文章

Physics-informed neural networks (PINNs) for 4D hemodynamics prediction:: An investigation of optimal framework based on vascular morphology

X Zhang, B Mao, Y Che, J Kang, M Luo, A Qiao, Y Liu… - 2023 - dl.acm.org
Hemodynamic parameters are of great significance in the clinical diagnosis and treatment of
cardiovascular diseases. However, noninvasive, real-time and accurate acquisition of …

Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology.

X Zhang, B Mao, Y Che, J Kang, M Luo… - Computers in Biology …, 2023 - europepmc.org
Hemodynamic parameters are of great significance in the clinical diagnosis and treatment of
cardiovascular diseases. However, noninvasive, real-time and accurate acquisition of …

Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology

X Zhang, B Mao, Y Che, J Kang… - … in Biology and …, 2023 - tohoku.elsevierpure.com
Hemodynamic parameters are of great significance in the clinical diagnosis and treatment of
cardiovascular diseases. However, noninvasive, real-time and accurate acquisition of …
[PDF] researchgate.net

[PDF][PDF] Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology

X Zhang, B Mao, Y Che, J Kang, M Luo… - Computers in Biology …, 2023 - researchgate.net
Hemodynamic parameters are of great significance in the clinical diagnosis and treatment of
cardiovascular diseases. However, noninvasive, real-time and accurate acquisition of …

Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology

X Zhang, B Mao, Y Che, J Kang, M Luo… - … in biology and … - pubmed.ncbi.nlm.nih.gov
Hemodynamic parameters are of great significance in the clinical diagnosis and treatment of
cardiovascular diseases. However, noninvasive, real-time and accurate acquisition of …