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Detecting Emerging Technologies and their Evolution using Deep Learning and Weak Signal Analysis


May 11, 2022
Ashkan Ebadi, Alain Auger, Yvan Gauthier

* 17 pages, 8 figures, 2 tables (preprint version) 

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Improving Classification Model Performance on Chest X-Rays through Lung Segmentation


Feb 22, 2022
Hilda Azimi, Jianxing Zhang, Pengcheng Xi, Hala Asad, Ashkan Ebadi, Stephane Tremblay, Alexander Wong


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Performance or Trust? Why Not Both. Deep AUC Maximization with Self-Supervised Learning for COVID-19 Chest X-ray Classifications


Dec 14, 2021
Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stephane Tremblay, Alexander Wong

* Published at CVIS 2021: 7th Annual Conference on Vision and Intelligent Systems 
* 3 pages 

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


Nov 12, 2021
Ashkan Ebadi, Patrick Paul, Sofia Auer, Stéphane Tremblay

* 12 pages, 7 figures, 1 table 

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COVID-Net US: A Tailored, Highly Efficient, Self-Attention Deep Convolutional Neural Network Design for Detection of COVID-19 Patient Cases from Point-of-care Ultrasound Imaging


Aug 05, 2021
Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong

* 12 pages 

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Influence of cognitive, geographical, and collaborative proximity on knowledge production of Canadian nanotechnology


Jun 03, 2021
Elva Luz Crespo Neira, Ashkan Ebadi, Catherine Beaudry, Andrea Schiffauerova

* 21 pages, 4 figures 

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COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach


May 04, 2021
Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi, Hilda Azimi, Stephane Tremblay, Alexander Wong

* Accepted to ICLR 2021 Workshop: Machine Learning for Preventing and Combating Pandemics 

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COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics


Mar 18, 2021
Ashkan Ebadi, Pengcheng Xi, Alexander MacLean, Stéphane Tremblay, Sonny Kohli, Alexander Wong

* 12 pages, 5 figures, to be submitted to Nature Scientific Data 

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Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing


Jul 22, 2020
Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong


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Improved Predictive Models for Acute Kidney Injury with IDEAs: Intraoperative Data Embedded Analytics


May 11, 2018
Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Paul Thottakkara, Ashkan Ebadi, Amir Motaei, Parisa Rashidi, Xiaolin Li, Azra Bihorac

* 47 pages, 6 Figures, Journal 

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