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Delft University of Technology
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CAN-FLOW generates cardiac anatomies that not only look realistic but also align closely with clinical metadata, outperforming traditional methods.
DeepONets' approximation error isn't just about the smallest modes; intermediate singular values in the branch network dominate the overall error, revealing a spectral bias that limits accuracy.