Spectral Graph Convolutions for Population-based Disease Prediction

@inproceedings{Parisot2017SpectralGC,
  title={Spectral Graph Convolutions for Population-based Disease Prediction},
  author={Sarah Parisot and Sofia Ira Ktena and Enzo Ferrante and Matthew C. H. Lee and Ricardo Guerrero Moreno and Ben Glocker and Daniel Rueckert},
  booktitle={MICCAI},
  year={2017}
}
Exploiting the wealth of imaging and non-imaging information for disease prediction tasks requires models capable of representing, at the same time, individual features as well as data associations between subjects from potentially large populations. Graphs provide a natural framework for such tasks, yet previous graph-based approaches focus on pairwise similarities without modelling the subjects’ individual characteristics and features. On the other hand, relying solely on subjectspecific… CONTINUE READING
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