| COVIDx-US--An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics A Ebadi, P Xi, A MacLean, S Tremblay, S Kohli, A Wong arXiv preprint arXiv:2103.10003, 2021 | 36 | 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 Imaging A MacLean, S Abbasi, A Ebadi, A Zhao, M Pavlova, H Gunraj, P Xi, ... Domain Adaptation and Representation Transfer, and Affordable Healthcare and …, 2021 | 11 | 2021 |
| Fully-automatic semantic segmentation for food intake tracking in long-term care homes KJ Pfisterer, R Amelard, AG Chung, B Syrnyk, A MacLean, A Wong arXiv e-prints, arXiv: 1910.11250, 2019 | 10 | 2019 |
| COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow AG Chuna, M Pavlova, H Gunraj, N Terhljan, A MacLean, H Aboutalebi, ... 2021 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE …, 2021 | 3 | 2021 |
| When Segmentation is Not Enough: Rectifying Visual-Volume Discordance Through Multisensor Depth-Refined Semantic Segmentation for Food Intake Tracking in Long-Term Care KJ Pfisterer, R Amelard, AG Chung, B Syrnyk, A MacLean, HH Keller, ... arXiv preprint arXiv:1910.11250, 2019 | 3 | 2019 |
| Where do Clinical Language Models Break Down? A Critical Behavioural Exploration of the ClinicalBERT Deep Transformer Model A MacLean, A Wong Journal of Computational Vision and Imaging Systems 6 (1), 1-4, 2020 | 2 | 2020 |
| Seeing the Forest from the Trees: A Novel Deep Learning-Driven Aggregate Embedding for Group-Level Analysis of Public Health Data A MacLean, Y Yang, H Chen, A Wong Journal of Computational Vision and Imaging Systems 6 (1), 1-3, 2020 | | 2020 |
| Goldilocks and the Three Parameters: Empirically Finding the" Just Right" for Segmenting Food Images for the AFINI-T System A MacLean, K Pfisterer, R Amelard, AG Chung, D Kumar, A Wong Journal of Computational Vision and Imaging Systems 3 (1), 2017 | | 2017 |
