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COVID-Net S: Towards computer-aided severity assessment via training and
  validation of deep neural networks for geographic extent and opacity extent
  scoring of chest X-rays for SARS-CoV-2 lung disease severity
v1v2v3v4 (latest)

COVID-Net S: Towards computer-aided severity assessment via training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity

26 May 2020
A. Wong
Z. Q. Lin
Linda Wang
A. Chung
B. Shen
A. Abbasi
M. Hoshmand-Kochi
T. Duong
ArXiv (abs)PDFHTML

Papers citing "COVID-Net S: Towards computer-aided severity assessment via training and validation of deep neural networks for geographic extent and opacity extent scoring of chest X-rays for SARS-CoV-2 lung disease severity"

20 / 20 papers shown
Title
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest
  X-ray Images for Computer-Aided COVID-19 Diagnostics
COVIDx CXR-3: A Large-Scale, Open-Source Benchmark Dataset of Chest X-ray Images for Computer-Aided COVID-19 Diagnostics
Maya Pavlova
Tia Tuinstra
Hossein Aboutalebi
Andy Zhao
Hayden Gunraj
Alexander Wong
79
13
0
08 Jun 2022
RadioTransformer: A Cascaded Global-Focal Transformer for Visual
  Attention-guided Disease Classification
RadioTransformer: A Cascaded Global-Focal Transformer for Visual Attention-guided Disease Classification
Moinak Bhattacharya
Shubham Jain
Prateek Prasanna
ViTMedIm
63
33
0
23 Feb 2022
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow
COVID-Net MLSys: Designing COVID-Net for the Clinical Workflow
A. Chung
Maya Pavlova
Hayden Gunraj
Naomi Terhljan
Alexander MacLean
Hossein Aboutalebi
Siddharth Surana
Andy Zhao
Saad Abbasi
Alexander Wong
28
2
0
14 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
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
57
9
0
05 Aug 2021
Insights into Data through Model Behaviour: An Explainability-driven
  Strategy for Data Auditing for Responsible Computer Vision Applications
Insights into Data through Model Behaviour: An Explainability-driven Strategy for Data Auditing for Responsible Computer Vision Applications
Alexander Wong
Adam Dorfman
Paul McInnis
Hayden Gunraj
41
1
0
16 Jun 2021
COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design
  for Detection of COVID-19 Cases from Chest X-ray Images
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
A. Chung
Andy Zhao
Siddharth Surana
Hossein Aboutalebi
Hayden Gunraj
A. Sabri
Amer Alaref
Alexander Wong
54
46
0
14 May 2021
COVID-19 Detection from Chest X-ray Images using Imprinted Weights
  Approach
COVID-19 Detection from Chest X-ray Images using Imprinted Weights Approach
Jianxing Zhang
Pengcheng Xi
Ashkan Ebadi
Hilda Azimi
Stéphane Tremblay
Alexander Wong
114
4
0
04 May 2021
COVID-Net CT-S: 3D Convolutional Neural Network Architectures for
  COVID-19 Severity Assessment using Chest CT Images
COVID-Net CT-S: 3D Convolutional Neural Network Architectures for COVID-19 Severity Assessment using Chest CT Images
Hossein Aboutalebi
Saad Abbasi
M. Shafiee
Alexander Wong
69
6
0
04 May 2021
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity
  Assessment of COVID-19 Cases from Chest X-ray Images
COVID-Net CXR-S: Deep Convolutional Neural Network for Severity Assessment of COVID-19 Cases from Chest X-ray Images
Hossein Aboutalebi
Maya Pavlova
M. Shafiee
A. Sabri
Amer Alaref
Alexander Wong
68
33
0
01 May 2021
Vision Transformer using Low-level Chest X-ray Feature Corpus for
  COVID-19 Diagnosis and Severity Quantification
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification
Sangjoon Park
Gwanghyun Kim
Y. Oh
J. Seo
Sang Min Lee
Jin Hwan Kim
Sungjun Moon
Jae-Kwang Lim
Jong Chul Ye
ViTMedIm
110
97
0
15 Apr 2021
TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network
  Design for Detection of Tuberculosis Cases from Chest X-ray Images
TB-Net: A Tailored, Self-Attention Deep Convolutional Neural Network Design for Detection of Tuberculosis Cases from Chest X-ray Images
Alexander Wong
J. Lee
Hadi Rahmat-Khah
A. Sabri
Amer Alaref
LM&MA
40
34
0
06 Apr 2021
COVIDx-US -- An open-access benchmark dataset of ultrasound imaging data
  for AI-driven COVID-19 analytics
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
115
36
0
18 Mar 2021
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for
  Prediction of Pulmonary Fibrosis Progression from Chest CT Images
Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression from Chest CT Images
A. Wong
Jack Lu
Adam Dorfman
Paul McInnis
M. Famouri
Daniel Manary
J. Lee
Michael Lynch
AI4CE
65
18
0
06 Mar 2021
COVID-Net CT-2: Enhanced Deep Neural Networks for Detection of COVID-19
  from Chest CT Images Through Bigger, More Diverse Learning
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
118
98
0
19 Jan 2021
ViDi: Descriptive Visual Data Clustering as Radiologist Assistant in
  COVID-19 Streamline Diagnostic
ViDi: Descriptive Visual Data Clustering as Radiologist Assistant in COVID-19 Streamline Diagnostic
Sahithya Ravi
Samaneh Khoshrou
Mykola Pechenizkiy
34
3
0
30 Nov 2020
CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of
  Skin Cancer from Dermoscopy Images
CancerNet-SCa: Tailored Deep Neural Network Designs for Detection of Skin Cancer from Dermoscopy Images
J. Lee
Maya Pavlova
M. Famouri
A. Wong
63
28
0
21 Nov 2020
Deep Learning-based Four-region Lung Segmentation in Chest Radiography
  for COVID-19 Diagnosis
Deep Learning-based Four-region Lung Segmentation in Chest Radiography for COVID-19 Diagnosis
Young-Gon Kim
Kyungsang Kim
Dufan Wu
Hui Ren
Won Young Tak
...
J. Park
B. S. Kim
W. Chung
Mannudeep K. Kalra
Quanzheng Li
21
20
0
26 Sep 2020
COVIDNet-CT: A Tailored Deep Convolutional Neural Network Design for
  Detection of COVID-19 Cases from Chest CT Images
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
61
207
0
08 Sep 2020
Understanding the temporal evolution of COVID-19 research through
  machine learning and natural language processing
Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing
Ashkan Ebadi
Pengcheng Xi
Stéphane Tremblay
B. Spencer
R. Pall
Alexander Wong
AI4CE
97
69
0
22 Jul 2020
COVID-Net: A Tailored Deep Convolutional Neural Network Design for
  Detection of COVID-19 Cases from Chest X-Ray Images
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
191
2,515
0
22 Mar 2020
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