Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification

Clayton R. Pereira, Danilo R. Pereira, Gustavo H. Rosa, Victor Hugo C. de Albuquerque, Silke A. T. Weber, Christian Hook, João P. Papa. Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification. Artificial Intelligence in Medicine, 87:67-77, 2018. [doi]

@article{PereiraPRAWHP18,
  title = {Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification},
  author = {Clayton R. Pereira and Danilo R. Pereira and Gustavo H. Rosa and Victor Hugo C. de Albuquerque and Silke A. T. Weber and Christian Hook and João P. Papa},
  year = {2018},
  doi = {10.1016/j.artmed.2018.04.001},
  url = {https://doi.org/10.1016/j.artmed.2018.04.001},
  researchr = {https://researchr.org/publication/PereiraPRAWHP18},
  cites = {0},
  citedby = {0},
  journal = {Artificial Intelligence in Medicine},
  volume = {87},
  pages = {67-77},
}