no code implementations • 30 Nov 2023 • Aditya Sridhar, Chi-en Amy Tai, Hayden Gunraj, Yuhao Chen, Alexander Wong
In Canada, prostate cancer is the most common form of cancer in men and accounted for 20% of new cancer cases for this demographic in 2022.
no code implementations • 29 Nov 2023 • Yifan Wu, Hayden Gunraj, Chi-en Amy Tai, Alexander Wong
The global ramifications of the COVID-19 pandemic remain significant, exerting persistent pressure on nations even three years after its initial outbreak.
no code implementations • 20 Nov 2023 • Hayden Gunraj, Chi-en Amy Tai, Alexander Wong
The recent introduction of synthetic correlated diffusion (CDI$^s$) imaging has demonstrated significant potential in the realm of clinical decision support for prostate cancer (PCa).
no code implementations • 14 Jun 2023 • E. Zhixuan Zeng, Hayden Gunraj, Sheldon Fernandez, Alexander Wong
In this work, we explore the use of this higher-level interpretation of a deep neural network's behaviour to allows us to "explain the explainability" for actionable insights.
1 code implementation • 12 Apr 2023 • Chi-en Amy Tai, Hayden Gunraj, Alexander Wong
The prevalence of breast cancer continues to grow, affecting about 300, 000 females in the United States in 2023.
1 code implementation • 12 Apr 2023 • Chi-en Amy Tai, Hayden Gunraj, Alexander Wong
Recently, a new form of magnetic resonance imaging (MRI) called synthetic correlated diffusion (CDI$^s$) imaging was introduced and showed considerable promise for clinical decision support for cancers such as prostate cancer when compared to current gold-standard MRI techniques.
no code implementations • 18 Nov 2022 • Hayden Gunraj, Paul Guerrier, Sheldon Fernandez, Alexander Wong
In electronics manufacturing, solder joint defects are a common problem affecting a variety of printed circuit board components.
1 code implementation • 10 Nov 2022 • Chi-en Amy Tai, Hayden Gunraj, Nedim Hodzic, Nic Flanagan, Ali Sabri, Alexander Wong
Breast cancer is the second most common type of cancer in women in Canada and the United States, representing over 25\% of all new female cancer cases.
no code implementations • 19 Oct 2022 • Yuhao Chen, Hayden Gunraj, E. Zhixuan Zeng, Robbie Meyer, Maximilian Gilles, Alexander Wong
We also demonstrate that our MC score is a more reliability indicator for outputs during inference time compared to the model generated confidence scores that are often over-confident.
no code implementations • 8 Jun 2022 • Maya Pavlova, Tia Tuinstra, Hossein Aboutalebi, Andy Zhao, Hayden Gunraj, Alexander Wong
After more than two years since the beginning of the COVID-19 pandemic, the pressure of this crisis continues to devastate globally.
1 code implementation • 7 Jun 2022 • Hayden Gunraj, Tia Tuinstra, Alexander Wong
Computed tomography (CT) has been widely explored as a COVID-19 screening and assessment tool to complement RT-PCR testing.
no code implementations • 12 Oct 2021 • Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj, Mohammad Javad Shafiee, Ali Sabri, Amer Alaref, Alexander Wong
In this work, we explore the concept of self-attention for tackling such subtleties in and between diseases.
no code implementations • 14 Sep 2021 • Audrey G. Chung, Maya Pavlova, Hayden Gunraj, Naomi Terhljan, Alexander MacLean, Hossein Aboutalebi, Siddharth Surana, Andy Zhao, Saad Abbasi, Alexander Wong
As the COVID-19 pandemic continues to devastate globally, one promising field of research is machine learning-driven computer vision to streamline various parts of the COVID-19 clinical workflow.
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 • 16 Jun 2021 • Alexander Wong, Adam Dorfman, Paul McInnis, Hayden Gunraj
In this study, we take a departure and explore an explainability-driven strategy to data auditing, where actionable insights into the data at hand are discovered through the eyes of quantitative explainability on the behaviour of a dummy model prototype when exposed to data.
no code implementations • 14 May 2021 • Maya Pavlova, Naomi Terhljan, Audrey G. Chung, Andy Zhao, Siddharth Surana, Hossein Aboutalebi, Hayden Gunraj, Ali Sabri, Amer Alaref, Alexander Wong
As the COVID-19 pandemic continues to devastate globally, the use of chest X-ray (CXR) imaging as a complimentary screening strategy to RT-PCR testing continues to grow given its routine clinical use for respiratory complaint.
1 code implementation • 19 Jan 2021 • Hayden Gunraj, Ali Sabri, David Koff, Alexander Wong
We leverage explainability to investigate the decision-making behaviour of COVID-Net CT-2, with the results for select cases reviewed and reported on by two board-certified radiologists with over 10 and 30 years of experience, respectively.
2 code implementations • 8 Sep 2020 • Hayden Gunraj, Linda Wang, Alexander Wong
The coronavirus disease 2019 (COVID-19) pandemic continues to have a tremendous impact on patients and healthcare systems around the world.