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

Research article (Computers in Biology and Medicine, 2021) · cited 22× · AI/ML
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Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications

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Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-approaches-to-surrogate-multifidelity-growth-and-remodeling-models-for-efficient-abdominal-aortic-aneur
MLA “Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-approaches-to-surrogate-multifidelity-growth-and-remodeling-models-for-efficient-abdominal-aortic-aneur.
BibTeX @misc{4ortxyz_machine-learning-approaches-to-surrogate-multifidelity-growth-and-remodeling-models-for-efficient-abdominal-aortic-aneur_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-approaches-to-surrogate-multifidelity-growth-and-remodeling-models-for-efficient-abdominal-aortic-aneur}, note = {Accessed: 2026-05-24}}
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