Artículo

AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design

Li, Jianning; Pimentel, Pedro; Szengel, Angelika; Ehlke, Moritz; Lamecker, Hans; Zachow, Stefan; Estacio, Laura; Doenitz, Christian; Ramm, Heiko; Shi, Haochen; Chen, Xiaojun; Matzkin, Victor FrancoIcon ; Newcombe, Virginia; Ferrante, EnzoIcon ; Jin, Yuan; Ellis, David G.; Aizenberg, Michele R.; Kodym, Oldrich; Spanel, Michal; Herout, Adam; Mainprize, James G.; Fishman, Zachary; Hardisty, Michael R.; Bayat, Amirhossein; Shit, Suprosanna; Wang, Bomin; Liu, Zhi; Eder, Matthias; Pepe, Antonio; Gsaxner, Christina; Alves, Victor; Zefferer, Ulrike; Von Campe, Gord; Pistracher, Karin; Schafer, Ute; Schmalstieg, Dieter; Menze, Bjoern H.; Glocker, Ben; Egger, Jan
Fecha de publicación: 09/2021
Editorial: Institute of Electrical and Electronics Engineers
Revista: IEEE Transaction on Medical Imaging
ISSN: 0278-0062
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:

Resumen

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.
Palabras clave: CRANIOPLASTY , DEEP LEARNING , SHAPE INPAINTING , SHAPE PRIOR , SKULL RECONSTRUCTION , STATISTICAL SHAPE MODEL , VOLUMETRIC SHAPE COMPLETION
 
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info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/184999
DOI: http://dx.doi.org/10.1109/TMI.2021.3077047
Colecciones
Articulos(SINC(I))
Articulos de INST. DE INVESTIGACION EN SEÑALES, SISTEMAS E INTELIGENCIA COMPUTACIONAL
Citación
Li, Jianning; Pimentel, Pedro; Szengel, Angelika; Ehlke, Moritz; Lamecker, Hans; et al.; AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design; Institute of Electrical and Electronics Engineers; IEEE Transaction on Medical Imaging; 40; 9; 9-2021; 2329-2342
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