Publication Details
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design
Kodym Oldřich, Ing., Ph.D.
Španěl Michal, doc. Ing., Ph.D. (DCGM)
and others
Algorithmic diversity, Cranial implants, Evaluation results, Fully automated,
Intra-operative, Low costs
The aim of this paper is to provide a comprehensive overview of the MICCAI 2020
AutoImplant Challenge. The approaches and publications submitted and accepted
within the challenge will be summarized and reported, highlighting common
algorithmic trends and algorithmic diversity. Furthermore, the evaluation results
will be presented, compared and discussed in regard to the challenge aim: seeking
for low cost, fast and fully automated solutions for cranial implant design.
Based on feedback from collaborating neurosurgeons, this paper concludes by
stating open issues and post-challenge requirements for intra-operative use. The
codes can be found at https://github.com/Jianningli/tmi.
@article{BUT182945,
author="Adam {Herout} and Oldřich {Kodym} and Michal {Španěl}",
title="AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design",
journal="IEEE TRANSACTIONS ON MEDICAL IMAGING",
year="2021",
volume="40",
number="9",
pages="2329--2342",
doi="10.1109/TMI.2021.3077047",
issn="0278-0062",
url="https://ieeexplore.ieee.org/document/9420655"
}