Publication Details

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design

HEROUT Adam, KODYM Oldřich and ŠPANĚL Michal. AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design. IEEE Transactions on Medical Imaging, vol. 40, no. 9, 2021, pp. 2329-2342. ISSN 0278-0062. Available from: https://ieeexplore.ieee.org/document/9420655
Czech title
AutoImplant 2020 - První MICCAI Challenge pro automatický návrh kraniálních implantátů
Type
journal article
Language
english
Authors
Herout Adam, prof. Ing., Ph.D. (DCGM FIT BUT)
Kodym Oldřich, Ing., Ph.D. (DCGM FIT BUT)
Španěl Michal, Ing., Ph.D. (DCGM FIT BUT)
URL
Keywords

Algorithmic diversity, Cranial implants, Evaluation results,  Fully automated, Intra-operative, Low costs

Abstract

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.

Published
2021
Pages
2329-2342
Journal
IEEE Transactions on Medical Imaging, vol. 40, no. 9, ISSN 0278-0062
Publisher
Institute of Electrical and Electronics Engineers
DOI
10.1109/TMI.2021.3077047
UT WoS
000692208500013
EID Scopus
2-s2.0-85105867867
BibTeX 
@ARTICLE{FITPUB12701,
   author = "Adam Herout and Old\v{r}ich Kodym and Michal \v{S}pan\v{e}l",
   title = "AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design",
   pages = "2329--2342",
   journal = "IEEE Transactions on Medical Imaging",
   volume = 40,
   number = 9,
   year = 2021,
   ISSN = "0278-0062",
   doi = "10.1109/TMI.2021.3077047",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12701"
}
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