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This minimal single-parameter cardiac phase model learns an effective latent orbit, significantly improves upon the previous state of the art in ED localisation and matches it in ES localisation while using a more constrained representation and fewer training epochs, demonstrating that a principled physiological inductive bias can match or exceed the performance of more complex representations.
VLMs can achieve state-of-the-art segmentation in histopathology without any manual annotations, outperforming traditional models on challenging stains.