Michael R. Hardisty

Orcid: 0000-0002-8941-3543

Affiliations:
  • Sunnybrook Research Institute, Toronto, ON, Canada
  • University of Toronto, Division of Orthopaedic Surgery, ON, Canada


According to our database1, Michael R. Hardisty authored at least 16 papers between 2012 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2025
Vertebral compression Fracture Risk in Spinal Metastases Patients Following Stereotactic Body Radiotherapy Using Quantitative Imaging Data and Machine Learning.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2025

2024
Thickness and design features of clinical cranial implants - what should automated methods strive to replicate?
Int. J. Comput. Assist. Radiol. Surg., April, 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

Recurrence With Correlation Network for Medical Image Registration.
CoRR, 2023

2022
Multi-Modal Deep Learning for Assessing Surgeon Technical Skill.
Sensors, 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
AutoImplant 2020-First MICCAI Challenge on Automatic Cranial Implant Design.
IEEE Trans. Medical Imaging, 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
Shape Completion by U-Net: An Approach to the AutoImplant MICCAI Cranial Implant Design Challenge.
Proceedings of the Towards the Automatization of Cranial Implant Design in Cranioplasty, 2020

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

2018
Shoulder Physiotherapy Exercise Recognition: Machine Learning the Inertial Signals from a Smartwatch.
CoRR, 2018

2012
Acetabular orientation: anatomical and functional measurement.
Int. J. Comput. Assist. Radiol. Surg., 2012


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