no code implementations • 4 Jan 2023 • Jessy Song, Ashkan Ebadi, Adrian Florea, Pengcheng Xi, Stéphane Tremblay, Alexander Wong
As the Coronavirus Disease 2019 (COVID-19) continues to impact many aspects of life and the global healthcare systems, the adoption of rapid and effective screening methods to prevent further spread of the virus and lessen the burden on healthcare providers is a necessity.
no code implementations • 6 Dec 2022 • Kai Ma, Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
Computer vision and machine learning are playing an increasingly important role in computer-assisted diagnosis; however, the application of deep learning to medical imaging has challenges in data availability and data imbalance, and it is especially important that models for medical imaging are built to be trustworthy.
no code implementations • 6 Oct 2022 • Ali Ghaemmaghami, Andrea Schiffauerova, Ashkan Ebadi
Early identification of emergent topics is of eminent importance due to their potential impacts on society.
no code implementations • 17 Aug 2022 • Ashkan Ebadi, Alain Auger, Yvan Gauthier
Research and development in hypersonics have progressed significantly in recent years, with various military and commercial applications being demonstrated increasingly.
no code implementations • 19 Jul 2022 • Kai Ma, Pengcheng Xi, Karim Habashy, Ashkan Ebadi, Stéphane Tremblay, Alexander Wong
In this study, we propose a feature learning approach using Vision Transformers, which use an attention-based mechanism, and examine the representation learning capability of Transformers as a new backbone architecture for medical imaging.
no code implementations • 19 May 2022 • Anahita Hajibabaei, Andrea Schiffauerova, Ashkan Ebadi
Scientific collaboration in almost every discipline is mainly driven by the need of sharing knowledge, expertise, and pooled resources.
no code implementations • 18 May 2022 • Hilda Azimi, Ashkan Ebadi, Jessy Song, Pengcheng Xi, Alexander Wong
Besides vaccination, as an effective way to mitigate the further spread of COVID-19, fast and accurate screening of individuals to test for the disease is yet necessary to ensure public health safety.
no code implementations • 11 May 2022 • Ashkan Ebadi, Alain Auger, Yvan Gauthier
In order to identify emerging technologies in a timely and reliable manner, a comprehensive examination of relevant scientific and technological (S&T) trends and their related references is required.
no code implementations • 22 Feb 2022 • Hilda Azimi, Jianxing Zhang, Pengcheng Xi, Hala Asad, Ashkan Ebadi, Stephane Tremblay, Alexander Wong
Our approach is designed in a cascaded manner and incorporates two modules: a deep neural network with criss-cross attention modules (XLSor) for localizing lung region in CXR images and a CXR classification model with a backbone of a self-supervised momentum contrast (MoCo) model pre-trained on large-scale CXR data sets.
no code implementations • 14 Dec 2021 • Siyuan He, Pengcheng Xi, Ashkan Ebadi, Stephane Tremblay, Alexander Wong
Ablation study is conducted for both the performance and the trust on feature learning methods and loss functions.
1 code implementation • 12 Nov 2021 • Ashkan Ebadi, Patrick Paul, Sofia Auer, Stéphane Tremblay
Motivated by the recent advances in the field of artificial intelligence and inspired by open-source open-access initiatives in the research community, we introduce a novel large benchmark dataset of real-life gas meter images, named the NRC-GAMMA dataset.
1 code implementation • 5 Aug 2021 • Alexander MacLean, Saad Abbasi, Ashkan Ebadi, Andy Zhao, Maya Pavlova, Hayden Gunraj, Pengcheng Xi, Sonny Kohli, Alexander Wong
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, thereby allowing for both proper treatment for those individuals as well as action to be taken to prevent further spread of the virus.
no code implementations • 3 Jun 2021 • Elva Luz Crespo Neira, Ashkan Ebadi, Catherine Beaudry, Andrea Schiffauerova
We hypothesized that knowledge production in Canadian nanotechnology is influenced by three key proximity factors, namely cognitive, geographical, and collaborative.
no code implementations • 4 May 2021 • Jianxing Zhang, Pengcheng Xi, Ashkan Ebadi, Hilda Azimi, Stephane Tremblay, Alexander Wong
The COVID-19 pandemic has had devastating effects on the well-being of the global population.
2 code implementations • 18 Mar 2021 • Ashkan Ebadi, Pengcheng Xi, Alexander MacLean, Stéphane Tremblay, Sonny Kohli, Alexander Wong
The COVID-19 pandemic continues to have a devastating effect on the health and well-being of the global population.
no code implementations • 22 Jul 2020 • Ashkan Ebadi, Pengcheng Xi, Stéphane Tremblay, Bruce Spencer, Raman Pall, Alexander Wong
The outbreak of the novel coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been continuously affecting human lives and communities around the world in many ways, from cities under lockdown to new social experiences.
no code implementations • 11 May 2018 • Lasith Adhikari, Tezcan Ozrazgat-Baslanti, Paul Thottakkara, Ashkan Ebadi, Amir Motaei, Parisa Rashidi, Xiaolin Li, Azra Bihorac
We used machine learning and statistical analysis techniques to develop perioperative models to predict the risk of AKI (risk during the first 3 days, 7 days, and until the discharge day) before and after the surgery.