activity
20202023
most citedCOVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT Images

6 citations · 15 across the 19 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

eess.IV2021

MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis

Hossein Aboutalebi, Maya Pavlova, Hayden Gunraj +4

Medical image analysis continues to hold interesting challenges given the subtle characteristics of certain diseases and the significant overlap in appearance between diseases. In…

eess.IV2021

COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow

Audrey G. Chung, Maya Pavlova, Hayden Gunraj +7

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 cli…

physics.med-ph2021

Synthetic Correlated Diffusion Imaging Hyperintensity Delineates Clinically Significant Prostate Cancer

Alexander Wong, Hayden Gunraj, Vignesh Sivan +1

Prostate cancer (PCa) is the second most common cancer in men worldwide and the most frequently diagnosed cancer among men in more developed countries. The prognosis of PCa is exce…

eess.IV2021

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…

cs.CV2021★ 1 cited

Insights into Data through Model Behaviour: An Explainability-driven Strategy for Data Auditing for Responsible Computer Vision Applications

Alexander Wong, Adam Dorfman, Paul McInnis +1

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 o…

eess.IV2021

COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images

Maya Pavlova, Naomi Terhljan, Audrey G. Chung +7

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 r…