World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
7595
World Ranking
13854
National Ranking
539

Overview

Alexander Wong is a researcher primarily affiliated with the University of Waterloo in Canada. Their work spans mainly the fields of Medicine and Computer Science, with a strong focus on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Computer Vision and Pattern Recognition, Health Informatics, and Pulmonary and Respiratory Medicine.

The scientist's research covers various specialized topics including COVID-19 diagnosis using AI, Radiomics and Machine Learning in Medical Imaging, Advanced Neural Network Applications, Artificial Intelligence in Healthcare and Education, AI in cancer detection, Advanced Neuroimaging Techniques and Applications, and MRI in cancer diagnosis.

Notable recent papers authored or co-authored by Alexander Wong include:

  • "COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images," 2020, Scientific Reports
  • "COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images," 2020, Frontiers in Medicine
  • "COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images," 2020, arXiv (Cornell University)
  • "COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 From Chest CT Images Through Bigger, More Diverse Learning," 2022, Frontiers in Medicine
  • "Towards computer-aided severity assessment via deep neural networks for geographic and opacity extent scoring of SARS-CoV-2 chest X-rays," 2021, Scientific Reports

Alexander Wong has frequently collaborated with a range of co-authors, including Hayden Gunraj, Pengcheng Xi, Ashkan Ebadi, Mohammad Javad Shafiee, and Chi-en Amy Tai.

The scientist's publications have appeared predominantly in venues such as arXiv (Cornell University), Sensors, Scientific Reports, Research Square, and the Journal of Computational Vision and Imaging Systems. This distribution indicates an emphasis on venues that accommodate interdisciplinary research spanning both the computational and medical domains.

Best Publications

  • Massively parallel digital transcriptional profiling of single cells

    Grace X. Y. Zheng;Jessica M. Terry;Phillip Belgrader;Paul Ryvkin

  • COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images.

    Linda Wang;Zhong Qiu Lin;Alexander Wong

  • The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements

    Leming Shi;Laura H. Reid;Wendell D. Jones;Richard Shippy

  • Haplotyping germline and cancer genomes with high-throughput linked-read sequencing

    Grace X Y Zheng;Billy T Lau;Michael Schnall-Levin;Mirna Jarosz

  • Measuring Diversity: Experimental Design of Combinatorial Libraries for Drug Discovery

    Eric J. Martin;Jeffrey M. Blaney;Michael A. Siani;David C. Spellmeyer

  • Lung Nodule Classification Using Deep Features in CT Images

    Devinder Kumar;Alexander Wong;David A. Clausi

  • Potential multiparticle entanglement measure

    Alexander Wong;Nelson Christensen

  • Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video

    Mohammad Javad Shaifee;Brendan Chywl;Francis Li;Alexander Wong

  • Squeeze-and-Attention Networks for Semantic Segmentation

    Zilong Zhong;Zhong Qiu Lin;Rene Bidart;Xiaodan Hu

  • COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest CT Images

    Hayden Gunraj;Linda Wang;Alexander Wong

  • ARRSI: Automatic Registration of Remote-Sensing Images

    A. Wong;D.A. Clausi

  • A nonlocal-means approach to exemplar-based inpainting

    A. Wong;J. Orchard

  • Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer.

    Yucheng Zhang;Anastasia Oikonomou;Alexander Wong;Masoom A. Haider

  • Intra-retinal layer segmentation in optical coherence tomography images

    Akshaya Mishra;Alexander Wong;Kostadinka Bizheva;David A. Clausi

  • COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images

    Linda Wang;Alexander Wong

  • Fast and Accurate k-means For Large Datasets

    Michael Shindler;Alex Wong;Adam W. Meyerson

  • General Bayesian estimation for speckle noise reduction in optical coherence tomography retinal imagery

    Alexander Wong;Akshaya Mishra;Kostadinka Bizheva;David A Clausi

  • Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models

    Farzad Khalvati;Farzad Khalvati;Alexander Wong;Masoom A. Haider;Masoom A. Haider

  • MAPS: A Quantitative Radiomics Approach for Prostate Cancer Detection

    Andrew Cameron;Farzad Khalvati;Masoom A. Haider;Alexander Wong

  • Statistical Textural Distinctiveness for Salient Region Detection in Natural Images

    Christian Scharfenberger;Alexander Wong;Khalil Fergani;John S. Zelek

  • High-Level Intuitive Features (HLIFs) for Intuitive Skin Lesion Description

    Robert Amelard;Jeffrey Glaister;Alexander Wong;David A. Clausi

  • 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

  • Fast YOLO: A Fast You Only Look Once System for Real-time Embedded Object Detection in Video

    Mohammad Javad Shafiee;Brendan Chywl;Francis Li;Alexander Wong

  • Discovery Radiomics for Pathologically-Proven Computed Tomography Lung Cancer Prediction

    Devinder Kumar;Audrey G. Chung;Mohammad J. Shaifee;Farzad Khalvati;Farzad Khalvati

  • Rethinking Keypoint Representations: Modeling Keypoints and Poses as Objects for Multi-Person Human Pose Estimation

    William J. McNally;Kanav Vats;Alexander Wong;John McPhee

  • Extended Knowledge-Based Reasoning Approach to Spectrum Sensing for Cognitive Radio

    Xiao Yu Wang;A. Wong;Pin-Han Ho

  • Tiny SSD: A Tiny Single-shot Detection Deep Convolutional Neural Network for Real-time Embedded Object Detection

    Alexander Wong;Mohammad Javad Shafiee;Francis Li;Brendan Chwyl

  • MPCaD: a multi-scale radiomics-driven framework for automated prostate cancer localization and detection

    Farzad Khalvati;Junjie Zhang;Audrey G. Chung;Mohammad Javad Shafiee

  • COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data for AI-driven COVID-19 analytics

    Ashkan Ebadi;Pengcheng Xi;Alexander MacLean;Stéphane Tremblay

  • Prediction of oxygen uptake dynamics by machine learning analysis of wearable sensors during activities of daily living.

    T. Beltrame;R. Amelard;A. Wong;R. L. Hughson

  • Towards computer-aided severity assessment via deep neural networks for geographic and opacity extent scoring of SARS-CoV-2 chest X-rays

    A. Wong;Z. Q. Lin;L. Wang;A. G. Chung

  • Structure-Guided Statistical Textural Distinctiveness for Salient Region Detection in Natural Images

    Christian Scharfenberger;Alexander Wong;David A. Clausi

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