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Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications

Zhenxiang Jiang, Jongeun Choi, Seungik Baek

2021Computers in Biology and Medicine22 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceReduction (mathematics)Arterial wallArtificial intelligenceAbdominal aortic aneurysmMachine learningFrame (networking)Arterial diseaseRadiologyAneurysmMedicineCardiologyInternal medicineMathematicsVascular diseaseTelecommunicationsGeometryAortic aneurysm repair treatmentsCardiovascular Health and Disease PreventionReservoir Engineering and Simulation Methods
Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications | Litcius