Cari M. Whyne

Orcid: 0000-0002-6822-8314

Affiliations:
  • 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 22 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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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

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

VertDetect: Fully End-to-End 3D Vertebral Instance Segmentation Model.
CoRR, 2023

2022
Shoulder Physiotherapy Activity Recognition 9-Axis Dataset.
Dataset, December, 2022

Multi-Modal Deep Learning for Assessing Surgeon Technical Skill.
Sensors, 2022

Personalized Activity Recognition with Deep Triplet Embeddings.
Sensors, 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

Automated segmentation of osteoblastic vertebral metastasis: a radiomics approach.
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
Personalized Activity Recognition with Deep Triplet Embeddings.
CoRR, 2020

2019
Metastatic Vertebrae Segmentation for Use in a Clinical Pipeline.
Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2019

2018
Seglearn: A Python Package for Learning Sequences and Time Series.
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
Acetabular orientation: anatomical and functional measurement.
Int. J. Comput. Assist. Radiol. Surg., 2012


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