98 citations · 190 across the 27 of their papers we have counts for
7 papers · 1 filter
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 +2
Effective representation learning is the key in improving model performance for medical image analysis. In training deep learning models, a compromise often must be made between pe…
NRC-GAMMA: Introducing a Novel Large Gas Meter Image Dataset
Ashkan Ebadi, Patrick Paul, Sofia Auer +1
Automatic meter reading technology is not yet widespread. Gas, electricity, or water accumulation meters reading is mostly done manually on-site either by an operator or by the hom…
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
Alexander MacLean, Saad Abbasi, Ashkan Ebadi +6
The Coronavirus Disease 2019 (COVID-19) pandemic has impacted many aspects of life globally, and a critical factor in mitigating its effects is screening individuals for infections…
Influence of cognitive, geographical, and collaborative proximity on knowledge production of Canadian nanotechnology
Elva Luz Crespo Neira, Ashkan Ebadi, Catherine Beaudry +1
Incorporating existing knowledge is vital for innovating, discovering, and generating new ideas. Knowledge production through research and invention is the key to scientific and te…
Gender-Specific Patterns in the Artificial Intelligence Scientific Ecosystem
Anahita Hajibabaei, Andrea Schiffauerova, Ashkan Ebadi
Gender disparity in science is one of the most focused debating points among authorities and the scientific community. Over the last few decades, numerous initiatives have endeavor…
COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach
Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi +3
The COVID-19 pandemic has had devastating effects on the well-being of the global population. The pandemic has been so prominent partly due to the high infection rate of the virus…