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. Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology. Comp. in Bio. and Med., 164:107287, September 2023. [doi]

@article{ZhangMCKLQLAOGL23,
  title = {Physics-informed neural networks (PINNs) for 4D hemodynamics prediction: An investigation of optimal framework based on vascular morphology},
  author = {XueLan Zhang and Baoyan Mao and Yue Che and Jiaheng Kang and Mingyao Luo and Aike Qiao and Youjun Liu and Hitomi Anzai and Makoto Ohta and Yuting Guo and Gaoyang Li},
  year = {2023},
  month = {September},
  doi = {10.1016/j.compbiomed.2023.107287},
  url = {https://doi.org/10.1016/j.compbiomed.2023.107287},
  researchr = {https://researchr.org/publication/ZhangMCKLQLAOGL23},
  cites = {0},
  citedby = {0},
  journal = {Comp. in Bio. and Med.},
  volume = {164},
  pages = {107287},
}