3 papers
cs.CV2018
Graph Saliency Maps through Spectral Convolutional Networks: Application to Sex Classification with Brain Connectivity
Salim Arslan, Sofia Ira Ktena, Ben Glocker +1
Graph convolutional networks (GCNs) allow to apply traditional convolution operations in non-Euclidean domains, where data are commonly modelled as irregular graphs. Medical imagin…
q-bio.NC2018
Connectivity-Driven Parcellation Methods for the Human Cerebral Cortex
Salim Arslan
In this thesis, we present robust and fully-automated methods for the subdivision of the entire human cerebral cortex based on connectivity information. Our contributions are four-…
q-bio.NC2017
Exploring Heritability of Functional Brain Networks with Inexact Graph Matching
Sofia Ira Ktena, Salim Arslan, Sarah Parisot +1
Data-driven brain parcellations aim to provide a more accurate representation of an individual's functional connectivity, since they are able to capture individual variability that…