Stéphane Tremblay

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 14

Top Topics

Ultrasound Images

Medical Image Analysis

Machine Learning

Digital X Ray Images

Top Venues

J. Informetrics

Publications

Kai Ma, Siyuan He, Grant Sinha, Ashkan Ebadi, Adrian Florea, Stéphane Tremblay, Alexander Wong, Pengcheng Xi
Towards Building a Trustworthy Deep Learning Framework for Medical Image Analysis. Sensors 23 (19) (2023)
Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
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 (2023)
Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
COVID-Net USPro: An Explainable Few-Shot Deep Prototypical Network for COVID-19 Screening Using Point-of-Care Ultrasound. Sensors 23 (5) (2023)
Hilda Azimi, Jianxing Zhang, Pengcheng Xi, Hala As'ad, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation. CoRR (2022)
Kai Ma, Pengcheng Xi, Karim Habashy, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
Towards Trustworthy Healthcare AI: Attention-Based Feature Learning for COVID-19 Screening With Chest Radiography. CoRR (2022)
Kai Ma, Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
A Trustworthy Framework for Medical Image Analysis with Deep Learning. CoRR (2022)
Ashkan Ebadi, Patrick Paul, Sofia Auer, Stéphane Tremblay
NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset. CoRR (2021)
Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. Scientometrics 126 (1) (2021)
Ashkan Ebadi, Pengcheng Xi, Alexander MacLean, Stéphane Tremblay, Sonny Kohli, Alexander Wong
COVIDx-US - An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics. CoRR (2021)
Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi, Hilda Azimi, Stéphane Tremblay, Alexander Wong
COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach. CoRR (2021)
Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications. CoRR (2021)
Ashkan Ebadi, Stéphane Tremblay, Cyril Goutte, Andrea Schiffauerova
Application of machine learning techniques to assess the trends and alignment of the funded research output. J. Informetrics 14 (2) (2020)
Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing. CoRR (2020)
Ashkan Ebadi, Yvan Gauthier, Stéphane Tremblay, Patrick Paul
How can Automated Machine Learning Help Business Data Science Teams? ICMLA (2019)