Distributed Electric Field Approximation. - Damian Trybus; Zdenek Kucerovsky; A. Ieta; Thomas E. Doyle (HPCS, 2002)

Design of an Electroocular Computing Interface. - Thomas E. Doyle; Zdenek Kucerovsky; William D. Greason (CCECE, 2006)

Affective State Control for Neuroprostheses. - Thomas E. Doyle; Zdenek Kucerovsky; Adrian Ieta (EMBC, 2006)

Adaptive affective response identification for hearing threshold detection. - Thomas E. Doyle; David M. Musson (EMBC, 2012)

A social cybernetic analysis of simulation-based, remotely delivered medical skills training in an austere environment: Developing a test bed for spaceflight medicine. - David M. Musson; Thomas E. Doyle (EMBC, 2012)

Systems modeling of space medical support architecture: Topological mapping of high level characteristics and constraints. - David M. Musson; Thomas E. Doyle; Joan Saary (EMBC, 2012)

Low temperature nanointegration for emerging biomedical applications. - Matiar M. R. Howlader; Thomas E. Doyle (Microelectron. Reliab., 2012)

M4CVD: Mobile Machine Learning Model for Monitoring Cardiovascular Disease. - Omar Boursalie; Reza Samavi; Thomas E. Doyle (EUSPN/ICTH, 2015)

A performance predictive model for emergency medicine residents. - Ali Ariaeinejad; Reza Samavi; Teresa M. Chan; Thomas E. Doyle (CASCON, 2017)

IoT for remote wireless electrophysiological monitoring: proof of concept. - Laura Pravato; Thomas E. Doyle (CASCON, 2017)

The first workshop on blockchain & eHealth: towards provable privacy & security in data intensive health research. - Reza Samavi; Thomas E. Doyle; Thodoros Topaloglou (CASCON, 2017)

Cognitive priority model for advanced telemedical support in Limited Bandwidth Applications. - Thomas E. Doyle; David M. Musson; Taralyn Schwering (CCECE, 2017)

Augmented Reality Based Brain Tumor 3D Visualization. - Qian Shan; Thomas E. Doyle; Reza Samavi; Mona Al-Rei (EUSPN/ICTH, 2017)

Digitized Trust in Human-in-the-Loop Health Research. - Andrew Sutton; Reza Samavi; Thomas E. Doyle; David Koff (PST, 2018)

Machine Learning and Mobile Health Monitoring Platforms: A Case Study on Research and Implementation Challenges. - Omar Boursalie; Reza Samavi; Thomas E. Doyle (J. Heal. Informatics Res., 2018)

Impact of Physiological Sensor Variance on Machine Learning Algorithms. - Ama Simons; Thomas E. Doyle; David M. Musson; James P. Reilly (SMC, 2020)

Detecting Cardiac Abnormalities with Multi-Lead ECG Signals: A Modular Network Approach. - Ryan Clark; Mohammadreza Heydarian; Kashif Siddiqui; Sajjad Rashidiani; Md. Asif Khan; Thomas E. Doyle (CinC, 2021)

Decoder Transformer for Temporally-Embedded Health Outcome Predictions. - Omar Boursalie; Reza Samavi; Thomas E. Doyle (ICMLA, 2021)

Trust Quantification for Autonomous Medical Advisory Systems. - Mini Thomas; Reza Samavi; Thomas E. Doyle (PST, 2021)

Textionnaire: An NLP-Based Questionnaire Analysis Method for Complex and Ambiguous Task Decision Support. - Sajjad Rashidiani; Thomas E. Doyle; Reza Samavi; Laura Duncan; Paulo Pires; Roberto B. Sassi (ICCI*CC, 2022)

A Priori Quantification of Transfer Learning Performance on Time Series Classification for Cyber-Physical Health Systems. - Ryan Clark; Thomas E. Doyle (CCECE, 2022)

STAR-ML: A Rapid Screening Tool for Assessing Reporting of Machine Learning in Research. - Md. Asif Khan; Ryan G. L. Koh; Samah Hassan; Theodore Liu; Victoria Tucci; Dinesh Kumbhare; Thomas E. Doyle (CCECE, 2022)

Trust Metrics for Medical Deep Learning Using Explainable-AI Ensemble for Time Series Classification. - Kashif Siddiqui; Thomas E. Doyle (CCECE, 2022)

Ultrasound Operator Variance Classification for Agency in Artificial Intelligence Support of Cyber-Physical Systems. - Calvin Zhu; Thomas E. Doyle; Michael D. Noseworthy (CCECE, 2022)

MLCM: Multi-Label Confusion Matrix. - Mohammadreza Heydarian; Thomas E. Doyle; Reza Samavi (IEEE Access, 2022)

Artificial Intelligence Nomenclature Identified From Delphi Study on Key Issues Related to Trust and Barriers to Adoption for Autonomous Systems. - Thomas E. Doyle; Victoria Tucci; Calvin Zhu; Yifei Zhang; Basem Yassa; Sajjad Rashidiani; Md. Asif Khan; Reza Samavi; Michael D. Noseworthy; Steven J. Yule (CoRR, 2022)

Check It Before You Wreck It: A Guide to STAR-ML for Screening Machine Learning Reporting in Research. - Ryan G. L. Koh; Md. Asif Khan; Sajjad Rashidiani; Samah Hassan; Victoria Tucci; Theodore Liu; Karlo Nesovic; Dinesh Kumbhare; Thomas E. Doyle (IEEE Access, 2023)

rWISDM: Repaired WISDM, a Public Dataset for Human Activity Recognition. - Mohammadreza Heydarian; Thomas E. Doyle (CoRR, 2023)

Addressing Dataset Shift for Trustworthy Deep Learning Diagnostic Ultrasound Decision Support. - Calvin Zhu; Michael D. Noseworthy; Thomas E. Doyle (Trans. Comput. Sci., 2023)

Integrating intention-based systems in human-robot interaction: a scoping review of sensors, algorithms, and trust. - Yifei Zhang; Thomas E. Doyle (Frontiers Robotics AI, 2023)

Crew Autonomy During Simulated Medical Event Management on Long Duration Space Exploration Missions. - Steven J. Yule; Jamie M. Robertson; Benjamin Mormann; Douglas S. Smink; Stuart R. Lipsitz; Egide Abahuje; Lauren R. Kennedy-Metz; Sandra Park; Christian Miccile; Charles N. Pozner; Thomas E. Doyle; David M. Musson; et al. (Hum. Factors, 2023)

Cracking the Chronic Pain code: A scoping review of Artificial Intelligence in Chronic Pain research. - Md. Asif Khan; Ryan G. L. Koh; Sajjad Rashidiani; Theodore Liu; Victoria Tucci; Dinesh Kumbhare; Thomas E. Doyle (Artif. Intell. Medicine, 2024)

Prediction of emergency department revisits among child and youth mental health outpatients using deep learning techniques. - Simran Saggu; Hirad Daneshvar; Reza Samavi; Paulo Pires; Roberto B. Sassi; Thomas E. Doyle; Judy Zhao; Ahmad Mauluddin; Laura Duncan (BMC Medical Informatics Decis. Mak., 2024)