Machine Learning Approaches to Estimate Simulated Cardiac Ejection Fraction from Electrical Impedance Tomography

Tales L. Fonseca, Leonardo Goliatt, Luciana C. D. Campos, Flávia S. Bastos, Luis Paulo S. Barra, Rodrigo Weber dos Santos. Machine Learning Approaches to Estimate Simulated Cardiac Ejection Fraction from Electrical Impedance Tomography. In Manuel Montes-y-Gómez, Hugo Jair Escalante, Alberto Segura, Juan de Dios Murillo, editors, Advances in Artificial Intelligence - IBERAMIA 2016 - 15th Ibero-American Conference on AI, San José, Costa Rica, November 23-25, 2016, Proceedings. Volume 10022 of Lecture Notes in Computer Science, pages 235-246, 2016. [doi]

@inproceedings{FonsecaGCBBS16,
  title = {Machine Learning Approaches to Estimate Simulated Cardiac Ejection Fraction from Electrical Impedance Tomography},
  author = {Tales L. Fonseca and Leonardo Goliatt and Luciana C. D. Campos and Flávia S. Bastos and Luis Paulo S. Barra and Rodrigo Weber dos Santos},
  year = {2016},
  doi = {10.1007/978-3-319-47955-2_20},
  url = {http://dx.doi.org/10.1007/978-3-319-47955-2_20},
  researchr = {https://researchr.org/publication/FonsecaGCBBS16},
  cites = {0},
  citedby = {0},
  pages = {235-246},
  booktitle = {Advances in Artificial Intelligence - IBERAMIA 2016 - 15th Ibero-American Conference on AI, San José, Costa Rica, November 23-25, 2016, Proceedings},
  editor = {Manuel Montes-y-Gómez and Hugo Jair Escalante and Alberto Segura and Juan de Dios Murillo},
  volume = {10022},
  series = {Lecture Notes in Computer Science},
  isbn = {978-3-319-47954-5},
}