Abdulah Fawaz

This paper develops a generative model to simulate cortical surface development and assesses its ability to predict cognitive outcomes in preterm infants.

This paper generalises the HCP multimodal cortical parcellation to UK Biobank data using a geometric deep learning framework, improving detection rates across cortical areas.

This paper benchmarks geometric and traditional deep learning models for cortical segmentation and neurodevelopmental phenotype prediction using neonatal cortical surface data.

This paper benchmarks geometric deep learning models for cortical parcellation on the Human Connectome Project data, showing high overlap but variability in specific brain regions.