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06/08/2022
Adversarial Text Normalization
Text-based adversarial attacks are becoming more commonplace and accessi...
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06/08/2022
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics
After more than two years since the beginning of the COVID-19 pandemic, ...
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04/24/2022
COVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Bioch
Ever since the declaration of COVID-19 as a pandemic by the World Health...
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10/12/2021
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis
Medical image analysis continues to hold interesting challenges given th...
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09/14/2021
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow
As the COVID-19 pandemic continues to devastate globally, one promising ...
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08/05/2021
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 Imagin
The Coronavirus Disease 2019 (COVID-19) pandemic has impacted many aspec...
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05/14/2021
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images
As the COVID-19 pandemic continues to devastate globally, the use of che...
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05/01/2021
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images
The world is still struggling in controlling and containing the spread o...
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11/21/2020
CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images
Skin cancer continues to be the most frequently diagnosed form of cancer...
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08/10/2020