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A modular deep learning framework that enhances neuroimaging task performance by leveraging optimal task sequences from over 49,000 MRIs.
Organ-hierarchical representation learning boosts zero-shot abnormality diagnosis performance, achieving AUROCs of 84.9 and 72.2 on benchmark datasets.