COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical
Network to Monitor and Detect COVID-19 Infection from Point-of-Care
Ultrasound Images

COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images

4 January 2023

Pengcheng Xi

Stéphane Tremblay

Alexander Wong

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Papers citing "COVID-Net USPro: An Open-Source Explainable Few-Shot Deep Prototypical Network to Monitor and Detect COVID-19 Infection from Point-of-Care Ultrasound Images"

15 / 15 papers shown

Title
MEDUSA: Multi-scale Encoder-Decoder Self-Attention Deep Neural Network Architecture for Medical Image Analysis Hossein Aboutalebi Maya Pavlova Hayden Gunraj M. Shafiee A. Sabri Amer Alaref Alexander Wong 46 17 0 12 Oct 2021
Adaptive Few-Shot Learning PoC Ultrasound COVID-19 Diagnostic System Michael Karnes Shehan Perera S. Adhikari Alper Yilmaz 46 7 0 08 Sep 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 Alexander MacLean Saad Abbasi Ashkan Ebadi Andy Zhao Maya Pavlova Hayden Gunraj Pengcheng Xi S. Kohli Alexander Wong 44 9 0 05 Aug 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation Gen Li Varun Jampani Laura Sevilla-Lara Deqing Sun Jonghyun Kim Joongkyu Kim 102 364 0 05 Apr 2021
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 S. Kohli Alexander Wong 94 36 0 18 Mar 2021
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19 from Chest CT Images Through Bigger, More Diverse Learning Hayden Gunraj A. Sabri D. Koff A. Wong 106 98 0 19 Jan 2021
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest CT Images Hayden Gunraj Linda Wang A. Wong OOD 45 205 0 08 Sep 2020
COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 cases from X-ray Images Parnian Afshar Shahin Heidarian F. Naderkhani A. Oikonomou Konstantinos N. Plataniotis Arash Mohammadi MedIm 67 598 0 06 Apr 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest X-Ray Images Linda Wang A. Wong OOD 136 2,505 0 22 Mar 2020
Do Explanations Reflect Decisions? A Machine-centric Strategy to Quantify the Performance of Explainability Algorithms Z. Q. Lin M. Shafiee S. Bochkarev Michael St. Jules Xiao Yu Wang A. Wong FAtt 68 81 0 16 Oct 2019
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 305 8,154 0 15 Mar 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 335 20,110 0 07 Oct 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,510 0 10 Dec 2015
Rethinking the Inception Architecture for Computer Vision Christian Szegedy Vincent Vanhoucke Sergey Ioffe Jonathon Shlens Z. Wojna 3DV BDL 886 27,427 0 02 Dec 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,529 0 04 Sep 2014