CardioVision: A fully automated deep learning package for medical image segmentation and reconstruction generating digital twins for patients with aortic stenosis

Amir Rouhollahi, James Noel Willi, Sandra Haltmeier, Alireza Mehrtash, Ross Straughan, Hoda Javadikasgari, Jonathan Brown, Akinobu Itoh, Kim I. de la Cruz, Elena Aikawa, Elazer R. Edelman, Farhad Rikhtegar Nezami. CardioVision: A fully automated deep learning package for medical image segmentation and reconstruction generating digital twins for patients with aortic stenosis. Comp. Med. Imag. and Graph., 109:102289, October 2023. [doi]

@article{RouhollahiWHMSJBICAEN23,
  title = {CardioVision: A fully automated deep learning package for medical image segmentation and reconstruction generating digital twins for patients with aortic stenosis},
  author = {Amir Rouhollahi and James Noel Willi and Sandra Haltmeier and Alireza Mehrtash and Ross Straughan and Hoda Javadikasgari and Jonathan Brown and Akinobu Itoh and Kim I. de la Cruz and Elena Aikawa and Elazer R. Edelman and Farhad Rikhtegar Nezami},
  year = {2023},
  month = {October},
  doi = {10.1016/j.compmedimag.2023.102289},
  url = {https://doi.org/10.1016/j.compmedimag.2023.102289},
  researchr = {https://researchr.org/publication/RouhollahiWHMSJBICAEN23},
  cites = {0},
  citedby = {0},
  journal = {Comp. Med. Imag. and Graph.},
  volume = {109},
  pages = {102289},
}