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A closed-form conditional-Gaussian estimator outperforms deep learning approaches in reconstructing complex cardiac shapes, achieving unprecedented accuracy in shape completion.
Out-of-domain self-supervised pretraining on brain MRIs beats in-domain supervised learning when generalizing to real-world clinical data.
