5 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Combining imaging and shape features for prediction tasks of Alzheimer's disease classification and brain age regression
Nairouz Shehata, Carolina Piçarra, Ben Glocker
We investigate combining imaging and shape features extracted from MRI for the clinically relevant tasks of brain age prediction and Alzheimer's disease classification. Our propose…
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…
eess.IV2023★ 5 cited
Analysing race and sex bias in brain age prediction
Carolina Piçarra, Ben Glocker
Brain age prediction from MRI has become a popular imaging biomarker associated with a wide range of neuropathologies. The datasets used for training, however, are often skewed and…