User profiles for Michael Hardisty

Michael Hardisty

Scientist, Sunnybrook Research Institute, Toronto, ON
Verified email at sunnybrook.ca
Cited by 1096

Mesh-morphing algorithms for specimen-specific finite element modeling

IA Sigal, MR Hardisty, CM Whyne - Journal of biomechanics, 2008 - Elsevier
Despite recent advances in software for meshing specimen-specific geometries, considerable
effort is still often required to produce and analyze specimen-specific models suitable for …

Shoulder physiotherapy exercise recognition: machine learning the inertial signals from a smartwatch

DM Burns, N Leung, M Hardisty… - Physiological …, 2018 - iopscience.iop.org
Objective: Participation in a physical therapy program is considered one of the greatest
predictors of successful conservative management of common shoulder disorders. However, …

Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the autoimplant 2021 cranial implant design challenge

…, CM Whyne, JG Mainprize, MR Hardisty… - Medical Image …, 2023 - Elsevier
Cranial implants are commonly used for surgical repair of craniectomy-induced skull defects.
These implants are usually generated offline and may require days to weeks to be available…

AutoImplant 2020-first MICCAI challenge on automatic cranial implant design

…, JG Mainprize, Z Fishman, MR Hardisty… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
The aim of this paper is to provide a comprehensive overview of the MICCAI 2020
AutoImplant Challenge. The approaches and publications submitted and accepted within the …

[HTML][HTML] Physiotherapy exercise classification with single-camera pose detection and machine learning

C Arrowsmith, D Burns, T Mak, M Hardisty, C Whyne - Sensors, 2022 - mdpi.com
Access to healthcare, including physiotherapy, is increasingly occurring through virtual
formats. At-home adherence to physical therapy programs is often poor and few tools exist to …

[HTML][HTML] Multi-modal deep learning for assessing surgeon technical skill

…, MG Goldenberg, O Selim, C Whyne, M Hardisty - Sensors, 2022 - mdpi.com
This paper introduces a new dataset of a surgical knot-tying task, and a multi-modal deep
learning model that achieves comparable performance to expert human raters on this skill …

Defining the therapeutic window of vertebral photodynamic therapy in a murine pre-clinical model of breast cancer metastasis using the photosensitizer BPD-MA …

MK Akens, MR Hardisty, BC Wilson, J Schwock… - Breast cancer research …, 2010 - Springer
Breast cancer is known to cause metastatic lesions in the bone, which can lead to skeletal-related
events. Currently, radiation therapy and surgery are the treatment of choice, but the …

[HTML][HTML] Adherence tracking with smart watches for shoulder physiotherapy in rotator cuff pathology: protocol for a longitudinal cohort study

…, R Richards, S McLachlin, M Hardisty… - JMIR Research …, 2020 - researchprotocols.org
Background: Physiotherapy is essential for the successful rehabilitation of common
shoulder injuries and following shoulder surgery. Patients may receive some training and …

[HTML][HTML] Detection of low back physiotherapy exercises with inertial sensors and machine learning: Algorithm development and validation

…, D Burns, H Razmjou, M Hardisty… - JMIR Rehabilitation …, 2022 - rehab.jmir.org
Background: Physiotherapy is a critical element in the successful conservative management
of low back pain (LBP). A gold standard for quantitatively measuring physiotherapy …

Whole bone strain quantification by image registration: a validation study

MR Hardisty, CM Whyne - 2009 - asmedigitalcollection.asme.org
Quantification of bone strain can be used to better understand fracture risk, bone healing,
and bone turnover. The objective of this work was to develop and validate an intensity …