@article{c9b76ae3178b440089bf1a98c2127c71,
title = "AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design",
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 = "Volumetric shape completion, cranioplasty, deep learning, shape inpainting, shape prior, skull reconstruction, statistical shape model",
author = "Jianning Li and Pedro Pimentel and Angelika Szengel and Moritz Ehlke and Hans Lamecker and Stefan Zachow and Laura Estacio and Christian Doenitz and Heiko Ramm and Haochen Shi and Xiaojun Chen and Franco Matzkin and Virginia Newcombe and Enzo Ferrante and Yuan Jin and Ellis, {David G.} and Aizenberg, {Michele R.} and Oldrich Kodym and Michal Spanel and Adam Herout and Mainprize, {James G.} and Zachary Fishman and Hardisty, {Michael R.} and Amirhossein Bayat and Suprosanna Shit and Bomin Wang and Zhi Liu and Matthias Eder and Antonio Pepe and Christina Gsaxner and Victor Alves and Ulrike Zefferer and {Von Campe}, Gord and Karin Pistracher and Ute Schafer and Dieter Schmalstieg and Menze, {Bjoern H.} and Ben Glocker and Jan Egger",
note = "Funding Information: Manuscript received March 31, 2021; accepted April 28, 2021. Date of publication May 3, 2021; date of current version August 31, 2021. This work was supported in part by the Clinical Additive Manufacturing for Medical Applications (CAMed) through COMET K-Project 871132, which is funded by the Austrian Federal Ministry of Transport, Innovation and Technology (BMVIT), in part by the Austrian Federal Ministry for Digital and Economic Affairs (BMDW), in part by the Styrian Business Promotion Agency (SFG), in part by the Austrian Science Fund (FWF) under Grant KLI 678-B31, and in part by the TU Graz Lead Project (Mechanics, Modeling and Simulation of Aortic Dissection). (Corresponding authors: Jianning Li; Jan Egger.) Please see the Acknowledgment section of this article for the author affiliations. Digital Object Identifier 10.1109/TMI.2021.3077047 Publisher Copyright: {\textcopyright} 1982-2012 IEEE.",
year = "2021",
month = sep,
doi = "10.1109/TMI.2021.3077047",
language = "English (US)",
volume = "40",
pages = "2329--2342",
journal = "IEEE transactions on medical imaging",
issn = "0278-0062",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "9",
}