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University of Copenhagen
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ALDA can cut annotation costs by up to 82% by intelligently predicting the optimal number of labels needed for clinical performance.
Out-of-domain self-supervised pretraining on brain MRIs beats in-domain supervised learning when generalizing to real-world clinical data.
