SwiFT, a 4D fMRI transformer, combined with group-ICA features and multi-label learning, outperforms ROI-based baselines in predicting Bayley-III scores from neonatal fMRI, with modest effect sizes.
Fitzgibbon, Samuel J
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Swin fMRI Transformer Predicts Early Neurodevelopmental Outcomes from Neonatal fMRI
SwiFT, a 4D fMRI transformer, combined with group-ICA features and multi-label learning, outperforms ROI-based baselines in predicting Bayley-III scores from neonatal fMRI, with modest effect sizes.