"Towards clinical applicability and computational efficiency in automatic ..."

Jianning Li et al. (2023)

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DOI: 10.1016/J.MEDIA.2023.102865

access: closed

type: Journal Article

metadata version: 2023-09-30

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  - journals/mia/LiEKRRSWAWDHMCKFWMHPSGKGYFLKYJPGHAS23
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  - https://dblp.org/rec/journals/mia/LiEKRRSWAWDHMCKFWMHPSGKGYFLKYJPGHAS23
Jianning Li, David G. Ellis, Oldrich Kodym, Laurèl Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodzinski, Mateusz Daniol, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari M. Whyne, James G. Mainprize, Michael R. Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna Sai S. Gorthi, Degala Venkata Kiran, Subrahmanyam Gorthi, Bokai Yang, Ke Fang, Xingyu Li, Artem Kroviakov, Lei Yu, Yuan Jin, Antonio Pepe, Christina Gsaxner, Adam Herout, Victor Alves, Michal Spanel, Michele R. Aizenberg, Jens Kleesiek, Jan Egger:
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge. Medical Image Anal. 88: 102865 (2023)

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