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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

22 March 2020
Linda Wang
A. Wong
    OOD
ArXivPDFHTML

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

50 / 117 papers shown
Title
ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese
ViQA-COVID: COVID-19 Machine Reading Comprehension Dataset for Vietnamese
H. Phung
Ngoc C. Lê
Van-Chien Nguyen
Hang Thi Nguyen
Thuy Phuong Thi Nguyen
68
1
0
21 Apr 2025
Novel Pooling-based VGG-Lite for Pneumonia and Covid-19 Detection from Imbalanced Chest X-Ray Datasets
Novel Pooling-based VGG-Lite for Pneumonia and Covid-19 Detection from Imbalanced Chest X-Ray Datasets
Santanu Roy
Ashvath Suresh
Palak Sahu
Tulika Rudra Gupta
29
0
0
10 Apr 2025
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations
MedUnifier: Unifying Vision-and-Language Pre-training on Medical Data with Vision Generation Task using Discrete Visual Representations
Ziyang Zhang
Yang Yu
Yucheng Chen
Xulei Yang
S. Yeo
MedIm
54
1
0
02 Mar 2025
Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures
Diagnosing COVID-19 Severity from Chest X-Ray Images Using ViT and CNN Architectures
Luis Lara
Lucia Eve Berger
Rajesh Raju
ViT
32
0
0
23 Feb 2025
Improving the network traffic classification using the Packet Vision
  approach
Improving the network traffic classification using the Packet Vision approach
Rodrigo Moreira
Larissa Ferreira Rodrigues
Pedro Frosi Rosa
F. O. Silva
37
3
0
26 Dec 2024
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
Can Medical Vision-Language Pre-training Succeed with Purely Synthetic Data?
Che Liu
Zhongwei Wan
Haozhe Wang
Yinda Chen
T. Qaiser
Chen Jin
Fariba Yousefi
Nikolay Burlutskiy
Rossella Arcucci
VLM
SyDa
LM&MA
MedIm
53
2
0
17 Oct 2024
How Does Diverse Interpretability of Textual Prompts Impact Medical
  Vision-Language Zero-Shot Tasks?
How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks?
Sicheng Wang
Che Liu
Rossella Arcucci
VLM
MedIm
36
0
0
31 Aug 2024
Automatic Detection of COVID-19 from Chest X-ray Images Using Deep
  Learning Model
Automatic Detection of COVID-19 from Chest X-ray Images Using Deep Learning Model
Alloy Das
Rohit Agarwal
Rituparna Singh
Arindam Chowdhury
Debashis Nandi
21
0
0
27 Aug 2024
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance
  for Robust Chest X-Ray Disease Classification
Effective-LDAM: An Effective Loss Function To Mitigate Data Imbalance for Robust Chest X-Ray Disease Classification
S. SreeRamaVamsidhar
Bhargava Satya
Rama Krishna Sai Subrahmanyam Gorthi
20
1
0
06 Jul 2024
Unlocking the Power of Spatial and Temporal Information in Medical
  Multimodal Pre-training
Unlocking the Power of Spatial and Temporal Information in Medical Multimodal Pre-training
Jinxia Yang
Bing-Huang Su
Wayne Xin Zhao
Ji-Rong Wen
32
2
0
30 May 2024
Disease-informed Adaptation of Vision-Language Models
Disease-informed Adaptation of Vision-Language Models
Jiajin Zhang
Ge Wang
M. Kalra
P. Yan
VLM
34
2
0
24 May 2024
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image
  Analysis
A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis
Yue Yang
Mona Gandhi
Yufei Wang
Yifan Wu
Michael S. Yao
Christopher Callison-Burch
James C. Gee
Mark Yatskar
48
3
0
23 May 2024
Learning Low-Rank Feature for Thorax Disease Classification
Learning Low-Rank Feature for Thorax Disease Classification
Rajeev Goel
Utkarsh Nath
Yancheng Wang
Alvin C. Silva
Teresa Wu
Yingzhen Yang
20
0
0
14 Feb 2024
A comprehensive study on fidelity metrics for XAI
A comprehensive study on fidelity metrics for XAI
Miquel Miró-Nicolau
Antoni Jaume-i-Capó
Gabriel Moyà Alcover
25
11
0
19 Jan 2024
Unified Medical Image Pre-training in Language-Guided Common Semantic
  Space
Unified Medical Image Pre-training in Language-Guided Common Semantic Space
Xiaoxuan He
Yifan Yang
Xinyang Jiang
Xufang Luo
Haoji Hu
Siyun Zhao
Dongsheng Li
Yuqing Yang
Lili Qiu
32
1
0
24 Nov 2023
A design of Convolutional Neural Network model for the Diagnosis of the COVID-19
Xinyuan Song
OOD
36
0
0
10 Nov 2023
COVID-VR: A Deep Learning COVID-19 Classification Model Using
  Volume-Rendered Computer Tomography
COVID-VR: A Deep Learning COVID-19 Classification Model Using Volume-Rendered Computer Tomography
N. M. L. Romero
Ricco Vasconcellos
M. R. Mendoza
J. Comba
16
0
0
02 Aug 2023
CoVid-19 Detection leveraging Vision Transformers and Explainable AI
CoVid-19 Detection leveraging Vision Transformers and Explainable AI
Pangoth Santhosh Kumar
Kundrapu Supriya
Mallikharjuna Rao
Krishna Teja Malisetti
ViT
MedIm
17
2
0
29 Jul 2023
Knowledge Boosting: Rethinking Medical Contrastive Vision-Language
  Pre-Training
Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-Training
Xiaofei Chen
Yuting He
Cheng Xue
Rongjun Ge
Shuo Li
Guanyu Yang
VLM
MedIm
21
12
0
14 Jul 2023
An Evaluation of Lightweight Deep Learning Techniques in Medical Imaging
  for High Precision COVID-19 Diagnostics
An Evaluation of Lightweight Deep Learning Techniques in Medical Imaging for High Precision COVID-19 Diagnostics
Ogechukwu Ukwandu
Hanan Hindy
Elochukwu A. Ukwandu
8
21
0
30 May 2023
OneCAD: One Classifier for All image Datasets using multimodal learning
OneCAD: One Classifier for All image Datasets using multimodal learning
S. Wadekar
Eugenio Culurciello
32
0
0
11 May 2023
Detection of COVID19 in Chest X-Ray Images Using Transfer Learning
Detection of COVID19 in Chest X-Ray Images Using Transfer Learning
Zanobya N. Khan
9
2
0
09 Apr 2023
LIMITR: Leveraging Local Information for Medical Image-Text
  Representation
LIMITR: Leveraging Local Information for Medical Image-Text Representation
Gefen Dawidowicz
Elad Hirsch
A. Tal
23
15
0
21 Mar 2023
Vision Transformer-based Model for Severity Quantification of Lung
  Pneumonia Using Chest X-ray Images
Vision Transformer-based Model for Severity Quantification of Lung Pneumonia Using Chest X-ray Images
Bouthaina Slika
Fadi Dornaika
H. Merdji
K. Hammoudi
ViT
MedIm
26
0
0
18 Mar 2023
Audit to Forget: A Unified Method to Revoke Patients' Private Data in
  Intelligent Healthcare
Audit to Forget: A Unified Method to Revoke Patients' Private Data in Intelligent Healthcare
Juexiao Zhou
Haoyang Li
Xingyu Liao
Bin Zhang
Wenjia He
Zhongxiao Li
Longxi Zhou
Xin Gao
MU
21
12
0
20 Feb 2023
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
Jessy Song
Ashkan Ebadi
A. Florea
Pengcheng Xi
Stéphane Tremblay
Alexander Wong
17
0
0
04 Jan 2023
Explainable and Lightweight Model for COVID-19 Detection Using Chest
  Radiology Images
Explainable and Lightweight Model for COVID-19 Detection Using Chest Radiology Images
S. Suba
N. Parekh
MedIm
22
0
0
28 Dec 2022
Boosting Automatic COVID-19 Detection Performance with Self-Supervised
  Learning and Batch Knowledge Ensembling
Boosting Automatic COVID-19 Detection Performance with Self-Supervised Learning and Batch Knowledge Ensembling
Guang Li
Ren Togo
Takahiro Ogawa
Miki Haseyama
SSL
25
8
0
19 Dec 2022
COVID-19 Classification Using Deep Learning Two-Stage Approach
COVID-19 Classification Using Deep Learning Two-Stage Approach
Mostapha Alsaidi
Ali Salem Altaher
M. T. Jan
Ahmed Altaher
Zahra Salekshahrezaee
22
2
0
28 Nov 2022
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain
  Specific Foundation Model
SPCXR: Self-supervised Pretraining using Chest X-rays Towards a Domain Specific Foundation Model
Syed Muhammad Anwar
Abhijeet Parida
Sara Atito
Muhammad Awais
G. Nino
Josef Kitler
M. Linguraru
ViT
SSL
OOD
27
6
0
23 Nov 2022
Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition
  of Pneumonia from Chest X-Ray Images
Interpretable CNN-Multilevel Attention Transformer for Rapid Recognition of Pneumonia from Chest X-Ray Images
Shengchao Chen
Sufen Ren
Guanjun Wang
Mengxing Huang
Chenyang Xue
ViT
MedIm
47
16
0
29 Oct 2022
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual
  Representation Learning
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
Fuying Wang
Yuyin Zhou
Shujun Wang
V. Vardhanabhuti
Lequan Yu
21
137
0
12 Oct 2022
CIRCA: comprehensible online system in support of chest X-rays-based
  COVID-19 diagnosis
CIRCA: comprehensible online system in support of chest X-rays-based COVID-19 diagnosis
Wojciech Pra.zuch
Aleksandra Suwalska
M. Socha
J. Tobiasz
P. Foszner
...
Barbara Gizycka
E. Szurowska
POLCOVID Study Group
M. Marczyk
Joanna Polańska
11
1
0
11 Oct 2022
Self-supervised Model Based on Masked Autoencoders Advance CT Scans
  Classification
Self-supervised Model Based on Masked Autoencoders Advance CT Scans Classification
Jiashu Xu
S. Stirenko
28
2
0
11 Oct 2022
Multi-Feature Vision Transformer via Self-Supervised Representation
  Learning for Improvement of COVID-19 Diagnosis
Multi-Feature Vision Transformer via Self-Supervised Representation Learning for Improvement of COVID-19 Diagnosis
Xiao Qi
D. Foran
J. Nosher
I. Hacihaliloglu
ViT
MedIm
22
3
0
03 Aug 2022
Federated Learning with GAN-based Data Synthesis for Non-IID Clients
Federated Learning with GAN-based Data Synthesis for Non-IID Clients
Zijian Li
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jinchao Zhang
FedML
15
39
0
11 Jun 2022
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
11
12
0
08 Jun 2022
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case
  Study on COVID-19 Chest X-ray Image
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image
Lucy Nwosu
Xiangfang Li
Lijun Qian
Seungchan Kim
Xishuang Dong
32
3
0
27 May 2022
VeriFi: Towards Verifiable Federated Unlearning
VeriFi: Towards Verifiable Federated Unlearning
Xiangshan Gao
Xingjun Ma
Jingyi Wang
Youcheng Sun
Bo Li
S. Ji
Peng Cheng
Jiming Chen
MU
65
46
0
25 May 2022
Using a novel fractional-order gradient method for CNN back-propagation
Using a novel fractional-order gradient method for CNN back-propagation
M. Taresh
N. Zhu
T. Ali
Mohammed Alghaili
Weihua Guo
MedIm
12
4
0
01 May 2022
Full-Spectrum Out-of-Distribution Detection
Full-Spectrum Out-of-Distribution Detection
Jingkang Yang
Kaiyang Zhou
Ziwei Liu
OODD
21
57
0
11 Apr 2022
Vision Transformers in Medical Computer Vision -- A Contemplative
  Retrospection
Vision Transformers in Medical Computer Vision -- A Contemplative Retrospection
Arshi Parvaiz
Muhammad Anwaar Khalid
Rukhsana Zafar
Huma Ameer
M. Ali
M. Fraz
MedIm
11
59
0
29 Mar 2022
Virtual vs. Reality: External Validation of COVID-19 Classifiers using
  XCAT Phantoms for Chest Computed Tomography
Virtual vs. Reality: External Validation of COVID-19 Classifiers using XCAT Phantoms for Chest Computed Tomography
F. I. Tushar
E. Abadi
S. Sotoudeh-Paima
Rafael B. Fricks
Maciej Mazurowski
W. Paul Segars
Ehsan Samei
J. Lo
11
6
0
07 Mar 2022
Temporal Context Matters: Enhancing Single Image Prediction with Disease
  Progression Representations
Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations
Aishik Konwer
Xuan Xu
Joseph Bae
Chaoyu Chen
Prateek Prasanna
MedIm
28
15
0
02 Mar 2022
Improving Classification Model Performance on Chest X-Rays through Lung
  Segmentation
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation
Hilda Azimi
Jianxing Zhang
Pengcheng Xi
H. Asad
Ashkan Ebadi
Stéphane Tremblay
Alexander Wong
13
7
0
22 Feb 2022
Improving COVID-19 CXR Detection with Synthetic Data Augmentation
Improving COVID-19 CXR Detection with Synthetic Data Augmentation
Daniel Schaudt
C. Kloth
Christian Spaete
Andreas Hinteregger
Meinrad Beer
R. Schwerin
MedIm
20
5
0
14 Dec 2021
Automatic COVID-19 disease diagnosis using 1D convolutional neural
  network and augmentation with human respiratory sound based on parameters:
  cough, breath, and voice
Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice
Kranthi Kumar Lella
Alphonse Pja
22
64
0
14 Dec 2021
Neural Networks for Infectious Diseases Detection: Prospects and
  Challenges
Neural Networks for Infectious Diseases Detection: Prospects and Challenges
Muhammad Azeem
Shumaila Javaid
Hamza Fahim
Nasir Saeed
20
6
0
07 Dec 2021
Explainable Deep Learning in Healthcare: A Methodological Survey from an
  Attribution View
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View
Di Jin
Elena Sergeeva
W. Weng
Geeticka Chauhan
Peter Szolovits
OOD
31
55
0
05 Dec 2021
An Overview of Healthcare Data Analytics With Applications to the
  COVID-19 Pandemic
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic
Z. Fei
Y. Ryeznik
O. Sverdlov
C. Tan
Weng Kee Wong
21
20
0
25 Nov 2021
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