• Corpus ID: 204008972

NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification

@article{Wood2019NEURODRAMA3,
  title={NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification},
  author={David A Wood and James H. Cole and Thomas C. Booth},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.04721}
}
Deep learning is attracting significant interest in the neuroimaging community as a means to diagnose psychiatric and neurological disorders from structural magnetic resonance images. However, there is a tendency amongst researchers to adopt architectures optimized for traditional computer vision tasks, rather than design networks customized for neuroimaging data. We address this by introducing NEURO-DRAM, a 3D recurrent visual attention model tailored for neuroimaging classification. The model… 

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