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Rochester Institute of Technology
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Learning a residual deformation function from sparse intraoperative measurements leads to superior liver registration accuracy, especially in challenging geometries.
LEADS enables the automated discovery of personalized cardiac models, outperforming expert-designed approaches and setting a new standard for stability in cardiac simulations.
