Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks

Thomas Grandits, Simone Pezzuto, Francisco Sahli Costabal, Paris Perdikaris, Thomas Pock, Gernot Plank, Rolf Krause. Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks. 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 650-658, Springer, 2021. [doi]

@inproceedings{GranditsPCPPPK21,
  title = {Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks},
  author = {Thomas Grandits and Simone Pezzuto and Francisco Sahli Costabal and Paris Perdikaris and Thomas Pock and Gernot Plank and Rolf Krause},
  year = {2021},
  doi = {10.1007/978-3-030-78710-3_62},
  url = {https://doi.org/10.1007/978-3-030-78710-3_62},
  researchr = {https://researchr.org/publication/GranditsPCPPPK21},
  cites = {0},
  citedby = {0},
  pages = {650-658},
  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},
}