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% Source: https://alzhub.org/research?category=digital&author=Rossini+PM
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@article{rossini2022-35388959,
  author  = {Rossini, P. M. and Miraglia, F. and Vecchio, F.},
  title   = {{Early dementia diagnosis, MCI-to-dementia risk prediction, and the role of machine learning methods for feature extraction from integrated biomarkers, in particular for EEG signal analysis}},
  journal = {Alzheimer's \& dementia : the journal of the Alzheimer's Association},
  year    = {2022},
  doi     = {10.1002/alz.12645},
  pmid    = {35388959},
  url     = {https://doi.org/10.1002/alz.12645}
}

@article{vecchio2020-32417784,
  author  = {Vecchio, F. and Miraglia, F. and Alù, F. and Menna, M. and Judica, E. and Cotelli, M. and Rossini, P. M.},
  title   = {{Classification of Alzheimer's Disease with Respect to Physiological Aging with Innovative EEG Biomarkers in a Machine Learning Implementation}},
  journal = {Journal of Alzheimer's disease : JAD},
  year    = {2020},
  doi     = {10.3233/jad-200171},
  pmid    = {32417784},
  url     = {https://doi.org/10.3233/jad-200171}
}

@article{rossini2020-32365890,
  author  = {Rossini, P. M. and Miraglia, F. and Alù, F. and Cotelli, M. and Ferreri, F. and Iorio, R. D. and Iodice, F. and Vecchio, F.},
  title   = {{Neurophysiological Hallmarks of Neurodegenerative Cognitive Decline: The Study of Brain Connectivity as A Biomarker of Early Dementia}},
  journal = {Journal of personalized medicine},
  year    = {2020},
  doi     = {10.3390/jpm10020034},
  pmid    = {32365890},
  url     = {https://doi.org/10.3390/jpm10020034}
}