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Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge

Jianning Li, David Ellis, Oldřich Kodym, Laurèl Rauschenbach, Christoph Rieß, Ulrich Sure, Karsten H. Wrede, Carlos M. Alvarez, Marek Wodziński, Mateusz Danioł, Daria Hemmerling, Hamza Mahdi, Allison Clement, Evan Kim, Zachary Fishman, Cari Whyne, James G. Mainprize, Michael Hardisty, Shashwat Pathak, Chitimireddy Sindhura, Rama Krishna 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 Španěl, Michele R. Aizenberg, Jens Kleesiek, Jan Egger

2023Medical Image Analysis27 citationsDOI

Topics & Concepts

Computer scienceImplantSkullMedical physicsArtificial intelligenceMedicineSurgeryTraumatic Brain Injury and Neurovascular DisturbancesHead and Neck Surgical OncologyCraniofacial Disorders and Treatments
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge | Litcius