| M4CVD: Mobile machine learning model for monitoring cardiovascular disease O Boursalie, R Samavi, TE Doyle Procedia Computer Science 63, 384-391, 2015 | 83 | 2015 |
| From group-level statistics to single-subject prediction: machine learning detection of concussion in retired athletes R Boshra, K Dhindsa, O Boursalie, KI Ruiter, R Sonnadara, R Samavi, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 27 (7 …, 2019 | 28 | 2019 |
| Evaluation metrics for deep learning imputation models O Boursalie, R Samavi, TE Doyle International Workshop on Health Intelligence, 309-322, 2021 | 20 | 2021 |
| Machine learning and mobile health monitoring platforms: a case study on research and implementation challenges O Boursalie, R Samavi, TE Doyle Journal of Healthcare Informatics Research 2, 179-203, 2018 | 19 | 2018 |
| Mobile Machine Learning for Real-time Predictive Monitoring of Cardiovascular Disease O Boursalie | 12 | 2016 |
| Evaluation methodology for deep learning imputation models O Boursalie, R Samavi, TE Doyle Experimental Biology and Medicine 247 (22), 1972-1987, 2022 | 8 | 2022 |
| Using medical imaging effective dose in deep learning models: estimation and evaluation O Boursalie, R Samavi, TE Doyle, DA Koff IEEE Transactions on Radiation and Plasma Medical Sciences 5 (2), 245-252, 2020 | 6 | 2020 |
| Deep learning model for cancer risk from low dose medical imaging radiation O Boursalie, R Samavi, TE Doyle, DA Koff Eur Radiol, 2020 | 6 | 2020 |
| Bayesian-based parameter estimation to quantify trust in medical devices M Thomas, O Boursalie, R Samavi, TE Doyle International Workshop on Health Intelligence, 95-108, 2023 | 4 | 2023 |
| Decoder transformer for temporally-embedded health outcome predictions O Boursalie, R Samavi, TE Doyle 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | 4 | 2021 |
| Data-driven approach to quantify trust in medical devices using Bayesian networks M Thomas, O Boursalie, R Samavi, TE Doyle Experimental Biology and Medicine 248 (24), 2578-2592, 2023 | 3 | 2023 |
| SOK: Application of machine learning models in child and youth mental health decision-making H Daneshvar, O Boursalie, R Samavi, TE Doyle, L Duncan, P Pires, ... Artificial Intelligence for Medicine, 113-132, 2024 | 1 | 2024 |
| Evaluation of Sequential and Temporally Embedded Deep Learning Models for Health Outcome Prediction O Boursalie, R Samavi, TE Doyle Deep Learning Applications, Volume 4, 21-52, 2022 | 1 | 2022 |
| Temporally-Embedded Deep Learning Model for Health Outcome Prediction O Boursalie | | 2021 |
| Deep Learning Model for Cancer Risk from Low Dose Medical Imaging Radiation D Koff, O Boursalie, R Samavi, TE Doyle European Congress of Radiology-EuroSafe Imaging 2020, 2020 | | 2020 |
| Evaluation methodology for deep learning imputation models R Samavi, O Boursalie, TE Doyle Toronto Metropolitan University, 0 | | |
