BrainFormer: A Hybrid CNN-Transformer Model for Brain fMRI Data Classification. (arXiv:2208.03028v1 [eess.IV])

In neuroimaging analysis, functional magnetic resonance imaging (fMRI) can
well assess brain function changes for brain diseases with no obvious
structural lesions. So far, most deep-learning-based fMRI studies take
functional connectivity as the basic feature in disease classification.
However, functional connectivity is often calculated based on time series of
predefined regions of interest and neglects detailed information contained in
each voxel, which may accordingly deteriorate the performance of diagnostic
models. Another methodological drawback is the limited sample size for the …

arxiv brain classification cnn data data classification hybrid transformer