Machine Learning Approaches to Surrogate Multifidelity Growth and Remodeling Models for Efficient Abdominal Aortic Aneurysmal Applications

Lignende værker

• Computational Growth and Remodeling of Abdominal Aortic Aneurysms Constrained by the Spine
  af: Farsad, Mehdi, et al.
  Udgivet: (2015)
• Patient-Specific Prediction of Abdominal Aortic Aneurysm Expansion using Bayesian Calibration
  af: Zhang, Liangliang, et al.
  Udgivet: (2019)
• Prior Distributions of Material Parameters for Bayesian Calibration of Growth and Remodeling Computational Model of Abdominal Aortic Wall
  af: Seyedsalehi, Sajjad, et al.
  Udgivet: (2015)
• Current state-of-the-art and utilities of machine learning for detection, monitoring, growth prediction, rupture risk assessment, and post-surgical management of abdominal aortic aneurysms
  af: Seungik Baek, et al.
  Udgivet: (2022-06-01)
• Applied Machine Learning for the Prediction of Growth of Abdominal Aortic Aneurysm in Humans
  af: R. Lee, et al.
  Udgivet: (2018-01-01)