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

Zhenxiang Jiang, Jongeun Choi, Seungik Baek. Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications. Comp. in Bio. and Med., 133:104394, 2021. [doi]

@article{JiangCB21,
  title = {Machine learning approaches to surrogate multifidelity Growth and Remodeling models for efficient abdominal aortic aneurysmal applications},
  author = {Zhenxiang Jiang and Jongeun Choi and Seungik Baek},
  year = {2021},
  doi = {10.1016/j.compbiomed.2021.104394},
  url = {https://doi.org/10.1016/j.compbiomed.2021.104394},
  researchr = {https://researchr.org/publication/JiangCB21},
  cites = {0},
  citedby = {0},
  journal = {Comp. in Bio. and Med.},
  volume = {133},
  pages = {104394},
}