Article

Brain age predicted using graph convolutional neural network explains developmental trajectory in preterm neonates

2021-05-17

Abstract excerpt

Dramatic alterations in brain morphology, such as cortical thickness and sulcal folding, occur during the 3rd trimester of gestation which overlaps with the period of premature births. Here, we investigated the ability of the graph convolutional network (GCN) to predict brain age for preterm neonates by accounting for morphometrics measured on the cortical surface and the surface mesh topology as a sparse graph. O...

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Literature Corpus work: 5a9b27b1-f1bb-5422-a718-56fb50c86392
DOI: 10.1101/2021.05.15.444320

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