Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer's disease with magnetoencephalography

Antonio Giovannetti, Gianluca Susi, Paola Casti, Arianna Mencattini, Sandra Pusil, María Eugenia López, Corrado Di Natale, Eugenio Martinelli. Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer's disease with magnetoencephalography. Neural Computing and Applications, 33(21):14651-14667, 2021. [doi]

@article{GiovannettiSCMP21,
  title = {Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer's disease with magnetoencephalography},
  author = {Antonio Giovannetti and Gianluca Susi and Paola Casti and Arianna Mencattini and Sandra Pusil and María Eugenia López and Corrado Di Natale and Eugenio Martinelli},
  year = {2021},
  doi = {10.1007/s00521-021-06105-4},
  url = {https://doi.org/10.1007/s00521-021-06105-4},
  researchr = {https://researchr.org/publication/GiovannettiSCMP21},
  cites = {0},
  citedby = {0},
  journal = {Neural Computing and Applications},
  volume = {33},
  number = {21},
  pages = {14651-14667},
}