AutoImplant 2020 - First MICCAI Challenge on Automatic Cranial Implant Design

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 evalu...

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Detalhes bibliográficos
Autor principal: Li, Jianning (author)
Outros Autores: Pimentel, Pedro (author), Szengel, Angelika (author), Ehlke, Moritz (author), Lamecker, Hans (author), Zachow, Stefan (author), Estacio, Laura (author), Doenitz, Christian (author), Ramm, Heiko (author), Shi, Haochen (author), Chen, Xiaojun (author), Matzkin, Franco (author), Newcombe, Virginia (author), Ferrante, Enzo (author), Jin, Yuan (author), Ellis, David G. (author), Aizenberg, Michele R. (author), Kodym, Oldrich (author), Spanel, Michal (author), Herout, Adam (author), Mainprize, James G. (author), Fishman, Zachary (author), Hardisty, Michael R. (author), Bayat, Amirhossein (author), Shit, Suprosanna (author), Wang, Bomin (author), Liu, Zhi (author), Eder, Matthias (author), Pepe, Antonio (author), Gsaxner, Christina (author), Alves, Victor (author), Zefferer, Ulrike (author), Von Campe, Gord (author), Pistracher, Karin (author), Schafer, Ute (author), Schmalstieg, Dieter (author), Menze, Bjoern H. (author), Glocker, Ben (author), Egger, Jan (author)
Formato: article
Idioma:eng
Publicado em: 2021
Assuntos:
Texto completo:https://hdl.handle.net/1822/78123
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/78123