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Author:Carolyn Anglin

Publications
A deep learning-based approach for localization of pedicle regions in preoperative CT scans
Hooman Esfandiari, Carolyn Anglin, Pierre Guy and Antony J. Hodgson
In:CAOS 2018. The 18th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery
A Machine Learning Framework for Intraoperative Segmentation and Quality Assessment of Pedicle Screw X-Rays
Hooman Esfandiari, Carolyn Anglin, John Street, Pierre Guy and Antony J. Hodgson
In:CAOS 2017. 17th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery
Evaluation of the Use of Artificial X-Rays for Educational and Intraoperative Guidance During C-Arm Positioning
Michele Touchette, Carolyn Anglin, Pierre Guy, Meena Amlani and Antony J. Hodgson
In:CAOS 2017. 17th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery

Keyphrases

Artificial X-rays, Automation, C-arm, C-arm fluoroscopy, deep learning, Digitally reconstructed radiographs, Education, Localization, machine learning, pedicle screw2, quality assessment, Segmentation2, surgical navigation, training, Virtual X-rays.

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