Cari M. Whyne
Orcid: 0000-0002-6822-8314Affiliations:
- Sunnybrook Research Institute, Toronto, ON, Canada
- University of Toronto, Institute of Biomedical Engineering, ON, Canada
According to our database1,
Cari M. Whyne
authored at least 23 papers
between 2012 and 2024.
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Bibliography
2024
Thickness and design features of clinical cranial implants - what should automated methods strive to replicate?
Int. J. Comput. Assist. Radiol. Surg., April, 2024
Comparing densely calculated facial soft tissue depths for craniofacial reconstruction: Euclidean vs. perpendicular distances.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., January, 2024
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2024
2023
Development and validation of a radiofrequency ablation treatment planning system for vertebral metastases.
Int. J. Comput. Assist. Radiol. Surg., December, 2023
Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge.
Medical Image Anal., August, 2023
Physiotherapy Exercise Classification with Single-Camera Pose Detection and Machine Learning.
Sensors, 2023
2022
Machine learning using preoperative patient factors can predict duration of surgery and length of stay for total knee arthroplasty.
Int. J. Medical Informatics, 2022
Bullseye EVD: preclinical evaluation of an intra-procedural system to confirm external ventricular drainage catheter positioning.
Int. J. Comput. Assist. Radiol. Surg., 2022
2021
Out-of-Distribution Detection of Human Activity Recognition with Smartwatch Inertial Sensors.
Sensors, 2021
Validating 3D face morphing towards improving pre-operative planning in facial reconstruction surgery.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021
A U-Net Based System for Cranial Implant Design with Pre-processing and Learned Implant Filtering.
Proceedings of the Towards the Automatization of Cranial Implant Design in Cranioplasty II, 2021
2020
2019
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019
2018
J. Mach. Learn. Res., 2018
Shoulder Physiotherapy Exercise Recognition: Machine Learning the Inertial Signals from a Smartwatch.
CoRR, 2018
An automated CT-based method to quantify the 3D anatomy of the posterior elements of the human thoracic and lumbar spine.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2018
2016
Surgical process analysis identifies lack of connectivity between sequential fluoroscopic 2D alignment as a critical impediment in femoral intramedullary nailing.
Int. J. Comput. Assist. Radiol. Surg., 2016
2012
Int. J. Comput. Assist. Radiol. Surg., 2012