A biomechanics-informed registration model extracts strain-derived features that, together with volumetric features from ground-truth segmentations, classify ACDC cardiac diseases with 100% reported test accuracy.
Deep cascaded registration and weakly-supervised segmentation of fetal brain MRI
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From Motion to Meaning: Biomechanics-Informed Neural Network for Explainable Cardiovascular Disease Identification
A biomechanics-informed registration model extracts strain-derived features that, together with volumetric features from ground-truth segmentations, classify ACDC cardiac diseases with 100% reported test accuracy.