AutoImplant MICCAI 2020 Best Paper Award
Automated Virtual Reconstruction of Large Skull Defects using Statistical Shape Models and Generative Adversarial Networks
Our contribution to the 1st AutoImplant Cranial Implant Design Challenge won the best paper award. Our team presented a combination of neural network based techniques with statistical shape models. Our approach generalizes very well to arbitrary large skull defects.
For more information visit the challenge website.