A Baseline Approach for the AutoImplant Challenge
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Updated
Feb 25, 2021 - Python
A Baseline Approach for the AutoImplant Challenge
Repository for 'Automatic Skull Defect Restoration and Cranial Implant Generation for Cranioplasty'. Skull Shape Completion Using Deep Learning (High resolution Volumetric Shape Completion)
A collection of the papers/codes and datasets associated with the MICCAI 2020 Cranial Implant Design Challenge.
Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model
MUG500+: Database of 500 high-resolution healthy human skulls and 29 craniotomy skulls and implants
code repository for AutoImplant II submissions
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