Shoulder Physiotherapy Exercise Recognition: Machine Learning the Inertial Signals from a Smartwatch. - David M. Burns; Nathan Leung; Michael R. Hardisty; Cari M. Whyne; Patrick Henry; Stewart McLachlin (CoRR, 2018)

Seglearn: A Python Package for Learning Sequences and Time Series. - David M. Burns; Cari M. Whyne (J. Mach. Learn. Res., 2018)

Personalized Activity Recognition with Deep Triplet Embeddings. - David M. Burns; Cari M. Whyne (CoRR, 2020)

Out-of-Distribution Detection of Human Activity Recognition with Smartwatch Inertial Sensors. - Philip Boyer; David M. Burns; Cari M. Whyne (Sensors, 2021)

Bullseye EVD: preclinical evaluation of an intra-procedural system to confirm external ventricular drainage catheter positioning. - Adam Hopfgartner; David M. Burns; Suganth Suppiah; Allan R. Martin; Michael R. Hardisty; Cari M. Whyne (Int. J. Comput. Assist. Radiol. Surg., 2022)

Personalized Activity Recognition with Deep Triplet Embeddings. - David M. Burns; Philip Boyer; Colin Arrowsmith; Cari M. Whyne (Sensors, 2022)

Multi-Modal Deep Learning for Assessing Surgeon Technical Skill. - Kevin Kasa; David M. Burns; Mitchell G. Goldenberg; Omar Selim; Cari M. Whyne; Michael R. Hardisty (Sensors, 2022)

Shoulder Physiotherapy Activity Recognition 9-Axis Dataset. - Philip Boyer; David M. Burns; Cari M. Whyne (IEEE DataPort, 2022)

Physiotherapy Exercise Classification with Single-Camera Pose Detection and Machine Learning. - Colin Arrowsmith; David M. Burns; Thomas Mak; Michael R. Hardisty; Cari M. Whyne (Sensors, 2023)

Lifecycles, pipelines, and value chains: toward a focus on events in responsible artificial intelligence for health. - Joseph Donia; Lola Oyefeso; Gayathri Embuldeniya; Cari M. Whyne; David M. Burns; Philip Boyer; Helen Razmjou; James A. Shaw (AI Ethics, 2025)