Author:Carolyn Anglin

Publications
Practicality of Conducting a Randomized Controlled Trial to Identify Differences in Revision Risk Between Conventional and Technology-Assisted Total Knee Arthroplasty Procedures in a Patient Population at Elevated Risk of Revision – A Simulation Study Matthew Hickey, Bassam Masri, Carolyn Anglin and Antony J. Hodgson In:Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery
Measuring Knee Laxity After Total Knee Arthroplasty using EOS Biplanar X-Ray: A First-step Phantom-based Repeatability Study Matthew Hickey, Carolyn Anglin, Bassam Masri and Antony J. Hodgson In:Proceedings of The 24th Annual Meeting of the International Society for Computer Assisted Orthopaedic Surgery
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
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
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

Keyphrases

2D/3D registration, Artificial X-rays, Automation, C-arm, C-arm fluoroscopy, deep learning, Digitally reconstructed radiographs, Education, EOS Biplaner Xray, knee laxity, Localization, machine learning, Navigated TKA, pedicle screw², quality assessment, Robotic TKA, Segmentation², statistical simulation, surgical navigation, Total knee arthroplasty, training, Virtual X-rays.