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 biochemis...

por Aboutalebi, Hossein, Pavlova, Maya, Shafiee, Mohammad Javad, Florea, Adrian, Hryniowski, Andrew, Wong, Alexander
Publicado 2023

COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images

por Aboutalebi, Hossein, Pavlova, Maya, Shafiee, Mohammad Javad, Sabri, Ali, Alaref, Amer, Wong, Alexander
Publicado 2021

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

por Aboutalebi, Hossein, Pavlova, Maya, Gunraj, Hayden, Shafiee, Mohammad Javad, Sabri, Ali, Alaref, Amer, Wong, Alexander
Publicado 2022

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

por Pavlova, Maya, Terhljan, Naomi, Chung, Audrey G., Zhao, Andy, Surana, Siddharth, Aboutalebi, Hossein, Gunraj, Hayden, Sabri, Ali, Alaref, Amer, Wong, Alexander
Publicado 2022