How can Automated Machine Learning Help Business Data Science Teams? - Ashkan Ebadi; Yvan Gauthier; Stéphane Tremblay; Patrick Paul (ICMLA, 2019)

Application of machine learning techniques to assess the trends and alignment of the funded research output. - Ashkan Ebadi; Stéphane Tremblay; Cyril Goutte; Andrea Schiffauerova (J. Informetrics, 2020)

COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics. - Ashkan Ebadi; Pengcheng Xi; Alexander MacLean; Stéphane Tremblay; Sonny Kohli; Alexander Wong (CoRR, 2021)

COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach. - Jianxing Zhang; Pengcheng Xi; Ashkan Ebadi; Hilda Azimi; Stéphane Tremblay; Alexander Wong (CoRR, 2021)

NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset. - Ashkan Ebadi; Patrick Paul; Sofia Auer; Stéphane Tremblay (CoRR, 2021)

Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications. - Siyuan He; Pengcheng Xi; Ashkan Ebadi; Stéphane Tremblay; Alexander Wong (CoRR, 2021)

Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. - Ashkan Ebadi; Pengcheng Xi; Stéphane Tremblay; Bruce Spencer; Raman Pall; Alexander Wong (Scientometrics, 2021)

Improving Classification Model Performance on Chest X-Rays through Lung Segmentation. - Hilda Azimi; Jianxing Zhang; Pengcheng Xi; Hala As'ad; Ashkan Ebadi; Stéphane Tremblay; Alexander Wong (CoRR, 2022)

Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography. - Kai Ma; Pengcheng Xi; Karim Habashy; Ashkan Ebadi; Stéphane Tremblay; Alexander Wong (CoRR, 2022)

A Trustworthy Framework for Medical Image Analysis with Deep Learning. - Kai Ma; Siyuan He; Pengcheng Xi; Ashkan Ebadi; Stéphane Tremblay; Alexander Wong (CoRR, 2022)

COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images. - Jessy Song; Ashkan Ebadi; Adrian Florea; Pengcheng Xi; Stéphane Tremblay; Alexander Wong (CoRR, 2023)

COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound. - Jessy Song; Ashkan Ebadi; Adrian Florea; Pengcheng Xi; Stéphane Tremblay; Alexander Wong (Sensors, 2023)

Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis. - Kai Ma; Siyuan He; Grant Sinha; Ashkan Ebadi; Adrian Florea; Stéphane Tremblay; Alexander Wong; Pengcheng Xi (Sensors, 2023)

Advancing Energy Monitoring: Deep Learning for Automated Non-Smart Gas Meter Readings. - Nastaran Enshaei; Stéphane Tremblay; Patrick Paul; Ashkan Ebadi (ICMLA, 2024)