A self-supervised neural network learns dense X-ray-to-CT bone correspondences across 758 patients, enabling initialization-free 6-DoF knee pose estimation on unseen patients via PnP+RANSAC.
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Learning Dense 2D-3D Correspondence for X-ray-to-CT Registration of Knee Bones
A self-supervised neural network learns dense X-ray-to-CT bone correspondences across 758 patients, enabling initialization-free 6-DoF knee pose estimation on unseen patients via PnP+RANSAC.