Rhythm Classification of 12-Lead ECGs Using Deep Neural Networks and Class-Activation Maps for Improved Explainability

Sebastian D. Goodfellow, Dmitrii Shubin, Robert W. Greer, Sujay Nagaraj, Carson McLean, Will Dixon, Andrew J. Goodwin, Azadeh Assadi, Anusha Jegatheeswaran, Peter C. Laussen, Mjaye Mazwi, Danny Eytan. Rhythm Classification of 12-Lead ECGs Using Deep Neural Networks and Class-Activation Maps for Improved Explainability. In Computing in Cardiology, CinC 2020, Rimini, Italy, September 13-16, 2020. pages 1-4, IEEE, 2020. [doi]

@inproceedings{GoodfellowSGNMD20,
  title = {Rhythm Classification of 12-Lead ECGs Using Deep Neural Networks and Class-Activation Maps for Improved Explainability},
  author = {Sebastian D. Goodfellow and Dmitrii Shubin and Robert W. Greer and Sujay Nagaraj and Carson McLean and Will Dixon and Andrew J. Goodwin and Azadeh Assadi and Anusha Jegatheeswaran and Peter C. Laussen and Mjaye Mazwi and Danny Eytan},
  year = {2020},
  doi = {10.22489/CinC.2020.353},
  url = {https://doi.org/10.22489/CinC.2020.353},
  researchr = {https://researchr.org/publication/GoodfellowSGNMD20},
  cites = {0},
  citedby = {0},
  pages = {1-4},
  booktitle = {Computing in Cardiology, CinC 2020, Rimini, Italy, September 13-16, 2020},
  publisher = {IEEE},
  isbn = {978-1-7281-7382-5},
}