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20172022
most citedDisease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease

814 citations · 1.2k across the 19 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

cs.LG2017★ 14 cited

Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression

Kelly Peterson, Ognjen Rudovic, Ricardo Guerrero +1

In this paper, we introduce the use of a personalized Gaussian Process model (pGP) to predict the key metrics of Alzheimer's Disease progression (MMSE, ADAS-Cog13, CDRSB and CS) ba…

stat.ML2017★ 3 cited

Spectral Graph Convolutions for Population-based Disease Prediction

Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante +4

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…