Stéphane Tremblay

15 papers C 2Journal 13

Year	Rank	Type	Title / Venue / Authors
2024	C	`conf`	Advancing Energy Monitoring: Deep Learning for Automated Non-Smart Gas Meter Readings. ICMLA Nastaran Enshaei, Stéphane Tremblay, Patrick Paul, Ashkan Ebadi
2023	J	`jnl`	COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound. Sensors Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
2023	J	`jnl`	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. CoRR Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
2023	J	`jnl`	Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis. Sensors Kai Ma, Siyuan He, Grant Sinha, Ashkan Ebadi, Adrian Florea, Stéphane Tremblay, Alexander Wong, Pengcheng Xi
2022	J	`jnl`	A Trustworthy Framework for Medical Image Analysis with Deep Learning. CoRR Kai Ma, Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
2022	J	`jnl`	Improving Classification Model Performance on Chest X-Rays through Lung Segmentation. CoRR Hilda Azimi, Jianxing Zhang, Pengcheng Xi, Hala As'ad, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
2022	J	`jnl`	Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography. CoRR Kai Ma, Pengcheng Xi, Karim Habashy, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
2021	J	`jnl`	COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach. CoRR Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi, Hilda Azimi, Stéphane Tremblay, Alexander Wong
2021	J	`jnl`	COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics. CoRR Ashkan Ebadi, Pengcheng Xi, Alexander MacLean, Stéphane Tremblay, Sonny Kohli, Alexander Wong
2021	J	`jnl`	NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset. CoRR Ashkan Ebadi, Patrick Paul, Sofia Auer, Stéphane Tremblay
2021	J	`jnl`	Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications. CoRR Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
2021	J	`jnl`	Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. Scientometrics Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong
2020	J	`jnl`	Application of machine learning techniques to assess the trends and alignment of the funded research output. J. Informetrics Ashkan Ebadi, Stéphane Tremblay, Cyril Goutte, Andrea Schiffauerova
2020	J	`jnl`	Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. CoRR Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong
2019	C	`conf`	How can Automated Machine Learning Help Business Data Science Teams? ICMLA Ashkan Ebadi, Yvan Gauthier, Stéphane Tremblay, Patrick Paul