Stéphane Tremblay

According to our database, Stéphane Tremblay authored at least 13 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, October, 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, March, 2023

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

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

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

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

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

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

NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset.

Ashkan Ebadi, Patrick Paul, Sofia Auer, Stéphane Tremblay

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

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

2020

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

2019

How can Automated Machine Learning Help Business Data Science Teams?

Ashkan Ebadi, Yvan Gauthier, Stéphane Tremblay, Patrick Paul

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019