Beyond transfer learning: a generative self-supervised framework for fMRI-based diagnosis on small and imbalanced datasets
Diagnosing neurological and psychiatric diseases (NeuroPsyD) from functional Magnetic Resonance Imaging (fMRI) using Deep Neural Networks (DNNs) is challenging, particularly when datasets are small and imbalanced, leading to severe overfitting, instability, and biased sensitivity–specificity trade-offs. Transfer Lear...