COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning. - Hayden Gunraj; Ali Sabri; David Koff; Alexander Wong (CoRR, 2021)

TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray Images. - Alexander Wong; James Ren Hou Lee; Hadi Rahmat-Khah; Ali Sabri; Amer Alaref (CoRR, 2021)

COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images. - Hossein Aboutalebi; Maya Pavlova; Mohammad Javad Shafiee; Ali Sabri; Amer Alaref; Alexander Wong (CoRR, 2021)

COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-ray Images. - Maya Pavlova; Naomi Terhljan; Audrey G. Chung; Andy Zhao; Siddharth Surana; Hossein Aboutalebi; Hayden Gunraj; Ali Sabri; Amer Alaref; Alexander Wong (CoRR, 2021)

MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis. - Hossein Aboutalebi; Maya Pavlova; Hayden Gunraj; Mohammad Javad Shafiee; Ali Sabri; Amer Alaref; Alexander Wong (CoRR, 2021)

TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases From Chest X-Ray Images. - Alexander Wong; James Ren Hou Lee; Hadi Rahmat-Khah; Ali Sabri; Amer Alaref; Haiyue Liu (Frontiers Artif. Intell., 2022)

Enhancing Clinical Support for Breast Cancer with Deep Learning Models Using Synthetic Correlated Diffusion Imaging. - Chi-En Amy Tai; Hayden Gunraj; Nedim Hodzic; Nic Flanagan; Ali Sabri; Alexander Wong (AMAI@MICCAI, 2023)