Spectral Graph Convolutions for Population-based Disease Prediction

8 Mar 2017Sarah ParisotSofia Ira KtenaEnzo FerranteMatthew LeeRicardo Guerrerro MorenoBen GlockerDaniel Rueckert

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... (read more)

PDF Abstract

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper