Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology
Xuelan Zhang, Baoyan Mao, Yue Che, Jiaheng Kang, Mingyao Luo, Aike Qiao, Youjun Liu, Hitomi Anzai, Makoto Ohta, Yuting Guo, Gaoyang Li
Topics & Concepts
Computer scienceArtificial intelligenceHemodynamicsDeep learningWorkflowMachine learningData miningMedicineCardiologyDatabaseCardiovascular Health and Disease PreventionCoronary Interventions and DiagnosticsCardiovascular Function and Risk Factors