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COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images., , , , , , , , , and . CoRR, (2021)Towards computer-aided severity assessment: training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity., , , , , , , and . CoRR, (2020)Fully-Automatic Semantic Segmentation for Food Intake Tracking in Long-Term Care Homes., , , , , and . CoRR, (2019)Enhancing Food Intake Tracking in Long-Term Care with Automated Food Imaging and Nutrient Intake Tracking (AFINI-T) Technology., , , , , and . CoRR, (2021)Highly Efficient Deep Intelligence via Multi-Parent Evolutionary Synthesis of Deep Neural Networks.. University of Waterloo, Ontario, Canada, (2020)base-search.net (ftunivwaterloo:oai:uwspace.uwaterloo.ca:10012/15627).COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification., , , and . CoRR, (2021)DVQI: A Multi-task, Hardware-integrated Artificial Intelligence System for Automated Visual Inspection in Electronics Manufacturing., , , , and . CoRR, (2023)Assessing Architectural Similarity in Populations of Deep Neural Networks., , and . CVPR Workshops, page 496-498. Computer Vision Foundation / IEEE, (2019)COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow., , , , , , , , , and . CCECE, page 1-5. IEEE, (2021)