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researcher

N. Shehata

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1

Across the 1 of 2 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedA Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2024

The Importance of Model Inspection for Better Understanding Performance Characteristics of Graph Neural Networks

Nairouz Shehata, Carolina Piçarra, Anees Kazi +1

This study highlights the importance of conducting comprehensive model inspection as part of comparative performance analyses. Here, we investigate the effect of modelling choices…

cs.CV2022★ 2 cited

A Comparative Study of Graph Neural Networks for Shape Classification in Neuroimaging

Nairouz Shehata, Wulfie Bain, Ben Glocker

Graph neural networks have emerged as a promising approach for the analysis of non-Euclidean data such as meshes. In medical imaging, mesh-like data plays an important role for mod…

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