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A modular deep learning framework that enhances neuroimaging task performance by leveraging optimal task sequences from over 49,000 MRIs.
InvLT achieves superior calibration performance without compromising classification accuracy or increasing parameter complexity, setting a new standard for post-hoc uncertainty calibration.
