Publication detail

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design

HEROUT, A. KODYM, O. ŠPANĚL, M.

Original Title

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design

Type

journal article in Web of Science

Language

English

Original 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.

Keywords

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

Authors

HEROUT, A.; KODYM, O.; ŠPANĚL, M.

Released

31. 8. 2021

ISBN

0278-0062

Periodical

IEEE TRANSACTIONS ON MEDICAL IMAGING

Year of study

40

Number

9

State

United States of America

Pages from

2329

Pages to

2342

Pages count

14

URL

https://ieeexplore.ieee.org/document/9420655

BibTex

@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"
}