Deep learning in fNIRS: a review

@article{Eastmond2022DeepLI,
  title={Deep learning in fNIRS: a review},
  author={Condell Eastmond and Aseem Subedi and Suvranu De and Xavier Intes},
  journal={Neurophotonics},
  year={2022},
  volume={9}
}
Abstract. Significance Optical neuroimaging has become a well-established clinical and research tool to monitor cortical activations in the human brain. It is notable that outcomes of functional near-infrared spectroscopy (fNIRS) studies depend heavily on the data processing pipeline and classification model employed. Recently, deep learning (DL) methodologies have demonstrated fast and accurate performances in data processing and classification tasks across many biomedical fields. Aim We aim… 

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