Automatic skull reconstruction by deep learnable symmetry enforcement

The article introduces an automatic skull reconstruction method based on the enforcement of skull symmetry using a learnable deep learning network. The method requires significantly fewer computational resources compared to other well-performing methods and is able to improve the reconstruction for the out-of-distribution cases. The proposed method is a considerable contribution to the field of applied artificial intelligence in medicine and is a step towards automatic cranial defect reconstruction in clinical practice.