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2020 – today
- 2023
[j4]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): 2621 (2023)- [j3]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): 8122 (2023) - [i9]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 abs/2301.01679 (2023) - 2022
- [i8]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 abs/2202.10971 (2022) - [i7]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 abs/2207.09312 (2022) - [i6]Kai Ma, Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong:
A Trustworthy Framework for Medical Image Analysis with Deep Learning. CoRR abs/2212.02764 (2022) - 2021
- [j2]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): 725-739 (2021) - [i5]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 abs/2103.10003 (2021) - [i4]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 abs/2105.01710 (2021) - [i3]Ashkan Ebadi, Patrick Paul, Sofia Auer, Stéphane Tremblay:
NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset. CoRR abs/2111.06827 (2021) - [i2]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 abs/2112.08363 (2021) - 2020
- [j1]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): 101018 (2020) - [i1]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 abs/2007.11604 (2020)
2010 – 2019
- 2019
- [c1]Ashkan Ebadi, Yvan Gauthier, Stéphane Tremblay, Patrick Paul:
How can Automated Machine Learning Help Business Data Science Teams? ICMLA 2019: 1186-1191
Coauthor Index
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