Teghipco et al. use deep learning to assess whether the spatial interdependencies of multivariate brain morphometry patterns contain information that can improve prediction of aphasia severity post-stroke. They demonstrate that, compared to classical machine learning, deep learning gives better predictions.
- Alex Teghipco
- Roger Newman-Norlund
- Leonardo Bonilha
