Article

Beyond Transfer Learning: A Generative Self-Supervised Framework for fMRI-Based Diagnosis on Small and Imbalanced Datasets

2026-03-16

Abstract excerpt

<title>Abstract</title> <p>Diagnosis of neurological and psychiatric diseases (NeuroPsyD) from functional Magnetic Resonance Imaging (fMRI) poses significant challenges when using Deep Neural Networks (DNNs), especially in cases where datasets are small and imbalanced, leading to severe overfitting and instability. Transfer Learning (TL), whether supervised or self-supervised, partially alleviates these challenge...

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Literature Corpus work: a8125356-6711-51ab-aa14-2a6e3b46331b
DOI: 10.21203/rs.3.rs-8981739/v1

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