This conference paper appears in the IEEE EMBC proceedings (2024). It proposes self-supervised deformable masked autoencoders that learn structural priors from unlabelled data to reconstruct cranial defects without dense ground truth, reducing annotation needs and producing high-quality reconstructions for CAD pipelines.
DeepImplant
Automatic Skull Reconstruction using AI