From Clinical Imaging to Patient-Specific Computational Model: Rapid Adaptation of the Living Heart Human Model to a Case of Aortic Stenosis

Andrew D. Wisneski, Salvatore Cutugno, Ashley Stroh, Salvatore Pasta, Jiang Yao, Vaikom S. Mahadevan, Julius M. Guccione. From Clinical Imaging to Patient-Specific Computational Model: Rapid Adaptation of the Living Heart Human Model to a Case of Aortic Stenosis. In Daniel B. Ennis, Luigi E. Perotti, Vicky Y. Wang, editors, Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Stanford, CA, USA, June 21-25, 2021, Proceedings. Volume 12738 of Lecture Notes in Computer Science, pages 373-381, Springer, 2021. [doi]

@inproceedings{WisneskiCSPYMG21,
  title = {From Clinical Imaging to Patient-Specific Computational Model: Rapid Adaptation of the Living Heart Human Model to a Case of Aortic Stenosis},
  author = {Andrew D. Wisneski and Salvatore Cutugno and Ashley Stroh and Salvatore Pasta and Jiang Yao and Vaikom S. Mahadevan and Julius M. Guccione},
  year = {2021},
  doi = {10.1007/978-3-030-78710-3_36},
  url = {https://doi.org/10.1007/978-3-030-78710-3_36},
  researchr = {https://researchr.org/publication/WisneskiCSPYMG21},
  cites = {0},
  citedby = {0},
  pages = {373-381},
  booktitle = {Functional Imaging and Modeling of the Heart - 11th International Conference, FIMH 2021, Stanford, CA, USA, June 21-25, 2021, Proceedings},
  editor = {Daniel B. Ennis and Luigi E. Perotti and Vicky Y. Wang},
  volume = {12738},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-78710-3},
}