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This folder holds the following references to publications, sorted by year and author.

There are 72 references in this bibliography folder.

Doyle, T and Samavi, R (2022).
MLCM: Multi-Label Confusion Matrix
IEEE Access.

Boursalie, O, Samavi, R, and Doyle, T (2021).
Evaluation Metrics for Deep Learning Imputation Models
Conference: 35th AAAI Conference on Artificial Intelligence (AAAI-21) - 5th International Workshop on Health Intelligence.

Boursalie, O, Samavi, R, and Doyle, TE (2021).
Decoder Transformer for Temporally-Embedded Health Outcome Predictions
In: 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA), pp. 1461-1467, IEEE, IEEE.

Boursalie, O, Samavi, R, Doyle, TE, and Koff, DA (2021).
Using Medical Imaging Effective Dose in Deep Learning Models: Estimation and Evaluation
IEEE Transactions on Radiation and Plasma Medical Sciences, 5(2):245–252.

Clark, R, Heydarian, M, Siddiqui, K, Rashidiani, S, Khan, MA, and Doyle, TE (2021).
Detecting Cardiac Abnormalities with Multi-Lead ECG Signals: A Modular Network Approach
In: 2021 Computing in Cardiology (CinC), IEEE.

Mccrindle, B, Simmard, N, Samson, E, Danielli, E, Doyle, T, and Noseworthy, M (2021).
Automated Microstructural White Matter Damage Segmentation in Mild Traumatic Brain Injury (mTBI) Patients Using Diffusion Tensor Imaging (DTI) and a Deep 2D-UNet Ensemble
In: Conference: ISMRM & SMRT Annual Meeting. International Society for Magnetic Resonance in Medicine.

McCrindle, B, Zukotynski, K, Doyle, TE, and Noseworthy, MD (2021).
A Radiology-focused Review of Predictive Uncertainty for AI Interpretability in Computer-assisted Segmentation
Radiology: Artificial Intelligence, 3(6):e210031.

Tembrevilla, G, Phillion, A, Doyle, TE, Ebrahimi, S, McDonald, C, Zeadin, M, and Yu, B (2021).
Who are the instructional assistant interns?: Examining the synergy of teaching assistants in first-year engineering course during the pandemic
In: 2021 ASEE St. Lawrence Section Conference.

Thomas, M, Samavi, R, and Doyle, TE (2021).
Trust Quantification for Autonomous Medical Advisory Systems
In: 2021 18th International Conference on Privacy, Security and Trust (PST), IEEE.

Tucci, V, Saary, J, and Doyle, T (2021).
Factors influencing trust in medical artificial intelligence for healthcare professionals: a narrative review
Journal of Medical Artificial Intelligence.

Zhu, C, Doyle, T, and Noseworthy, M (2021).
Investigating the Effects of Transfer Learning on Medical Ultrasound Models
In: Conference: 19th Annual ImNO Symposium. Imaging Network Ontario.

Robertson, JM, Dias, RD, Gupta, A, Marshburn, T, Lipsitz, SR, Pozner, CN, Doyle, TE, Smink, DS, Musson, DM, and Yule, S (2020).
Medical Event Management for Future Deep Space Exploration Missions to Mars
Journal of Surgical Research, 246:305–314.

Simons, A, Doyle, T, Musson, D, and Reilly, J (2020).
Impact of Physiological Sensor Variance on Machine Learning Algorithms
In: 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), IEEE.

Boshra, R, Dhindsa, K, Boursalie, O, Ruiter, KI, Sonnadara, R, Samavi, R, Doyle, TE, Reilly, JP, and Connolly, JF (2019).
From Group-Level Statistics to Single-Subject Prediction: Machine Learning Detection of Concussion in Retired Athletes
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 27(7):1492–1501.

Daglius Dias, R, Doyle, T, Robertson, J, Thorgrimson, J, Gupta, A, Mormann, B, Pozner, C, Smink, D, Lipsitz, S, Musson, D, and Yule, S (2019).
NASA Human Research Program Investigators' Workshop.

Koff, DA and Doyle, TE (2019).
Imaging Informatics
In: Encyclopedia of Biomedical Engineering, pp. 551–560, Elsevier.

Linda Ferderbar, M, Doyle, TE, Samavi, R, and Koff, D (2019).
An Environmental Scan of the National and Provincial Diagnostic Reference Levels in Canada for Common Adult Computed Tomography Scans
Canadian Association of Radiologists Journal, 70(2):119-124.

Boursalie, O, Samavi, R, and Doyle, TE (2018).
Machine Learning and Mobile Health Monitoring Platforms: A Case Study on Research and Implementation Challenges
Journal of Healthcare Informatics Research, 2(1-2):179–203.

Musson, D, Doyle, T, Daglius Dias, R, and Yule, S (2018).
Medical Simulation for Exploration-Class Spaceflight Missions
International Meeting on Simulation in Healthcare 2018.

Sutton, A, Samavi, R, Doyle, TE, and Koff, D (2018).
Digitized Trust in Human-in-the-Loop Health Research
In: 2018 16th Annual Conference on Privacy, Security and Trust (PST), IEEE.

Yule, S, Daglius Dias, R, Robertson, J, Gupta, A, Singh, S, Lipsitz, S, Pozner, C, Smink, D, Thorgrimson, J, Doyle, T, and Musson, D (2018).
Astronaut Crew Non-Technical Skills for Medical Event Management on Deep Space Exploration Missions
Academic Surgical Congress.

Ariaeinejad, A, Samavi, R, Chan, TM, and Doyle, TE (2017).
A performance predictive model for emergency medicine residents
In: Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, pp. 28--37, Markham, Ontario, Canada, IBM Corp.

Doyle, TE, Musson, DM, and Schwering, T (2017).
Cognitive priority model for advanced telemedical support in Limited Bandwidth Applications
In: 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), IEEE.

Pravato, L and Doyle, TE (2017).
IoT for remote wireless electrophysiological monitoring: proof of concept
In: Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, pp. 254--258, Markham, Ontario, Canada, IBM Corp.

Samavi, R, Doyle, TE, and Topologlou, T (2017).
The first workshop on blockchain & eHealth: towards provable privacy & security in data intensive health research
In: Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, pp. 333--336, Markham, Ontario, Canada, IBM Corp.

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