More from the Same Authors

• 2020 : COVIDNet-S: SARS-CoV-2 lung disease severity grading of chest X-rays using deep convolutional neural networks »
  Alexander Wong
• 2021 : COVID-Net Clinical ICU: Enhanced Prediction of ICU Admission for COVID-19 Patients via Explainability and Trust Quantification »
  Audrey Chung · Mahmoud Famouri · Andrew Hryniowski · Alexander Wong
• 2022 : Faster Attention Is What You Need: A Fast Self-Attention Neural Network Backbone Architecture for the Edge via Double-Condensing Attention Condensers »
  Alexander Wong · Mohammad Javad Shafiee · Saad Abbasi · Saeejith Nair · Mahmoud Famouri
• 2022 : A Fair Loss Function for Network Pruning »
  Robbie Meyer · Alexander Wong
• 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 Biochemistry Data »
  Hossein Aboutalebi · Maya Pavlova · Mohammad Javad Shafiee · Adrian Florea · Andrew Hryniowski · Alexander Wong
• 2022 : COVIDx CT-3: A Large-scale, Multinational, Open-Source Benchmark Dataset for Computer-aided COVID-19 Screening from Chest CT Images »
  Hayden Gunraj · Tia Tuinstra · Alexander Wong
• 2022 : COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics »
  Maya Pavlova · Tia Tuinstra · Hossein Aboutalebi · Andy Zhao · Hayden Gunraj · Alexander Wong
• 2019 : Coffee Break & Poster Session 2 »
  Juho Lee · Yoonho Lee · Yee Whye Teh · Raymond A. Yeh · Yuan-Ting Hu · Alex Schwing · Sara Ahmadian · Alessandro Epasto · Marina Knittel · Ravi Kumar · Mohammad Mahdian · Christian Bueno · Aditya Sanghi · Pradeep Kumar Jayaraman · Ignacio Arroyo-Fernández · Andrew Hryniowski · Vinayak Mathur · Sanjay Singh · Shahrzad Haddadan · Vasco Portilheiro · Luna Zhang · Mert Yuksekgonul · Jhosimar Arias Figueroa · Deepak Maurya · Balaraman Ravindran · Frank NIELSEN · Philip Pham · Justin Payan · Andrew McCallum · Jinesh Mehta · Ke SUN