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Counterintuitively, letting radar cardiac sensors learn to mimic ECGs first yields far better performance on downstream tasks like blood pressure regression and waveform segmentation than directly training on those tasks.
Reconstructing high-fidelity 3D heart models from noisy radar data is now possible, thanks to a novel mesh deformation approach that leverages physics-informed learning.
