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06/14/2023
Explaining Explainability: Towards Deeper Actionable Insights into Deep Learning through Second-order Explainability
Explainability plays a crucial role in providing a more comprehensive un...
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04/12/2023
Cancer-Net BCa-S: Breast Cancer Grade Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging
The prevalence of breast cancer continues to grow, affecting about 300,0...
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04/12/2023
A Multi-Institutional Open-Source Benchmark Dataset for Breast Cancer Clinical Decision Support using Synthetic Correlated Diffusion Imaging Data
Recently, a new form of magnetic resonance imaging (MRI) called syntheti...
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11/18/2022
SolderNet: Towards Trustworthy Visual Inspection of Solder Joints in Electronics Manufacturing Using Explainable Artificial Intelligence
In electronics manufacturing, solder joint defects are a common problem ...
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11/10/2022
Cancer-Net BCa: Breast Cancer Pathologic Complete Response Prediction using Volumetric Deep Radiomic Features from Synthetic Correlated Diffusion Imaging
Breast cancer is the second most common type of cancer in women in Canad...
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10/19/2022
MMRNet: Improving Reliability for Multimodal Computer Vision for Bin Picking via Multimodal Redundancy
Recently, there has been tremendous interest in industry 4.0 infrastruct...
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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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06/07/2022
COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT Images
Computed tomography (CT) has been widely explored as a COVID-19 screenin...
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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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06/16/2021
Insights into Data through Model Behaviour: An Explainability-driven Strategy for Data Auditing for Responsible Computer Vision Applications
In this study, we take a departure and explore an explainability-driven ...
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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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01/19/2021
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning
The COVID-19 pandemic continues to rage on, with multiple waves causing ...
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09/08/2020