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COVID-19 Image Data Collection

COVID-19 Image Data Collection

25 March 2020
Joseph Paul Cohen
Paul Morrison
Lan Dao
ArXivPDFHTML

Papers citing "COVID-19 Image Data Collection"

50 / 195 papers shown
Title
Predicting intubation support requirement of patients using Chest X-ray
  with Deep Representation Learning
Predicting intubation support requirement of patients using Chest X-ray with Deep Representation Learning
A. Maurya
19
1
0
28 Oct 2020
Triple-view Convolutional Neural Networks for COVID-19 Diagnosis with
  Chest X-ray
Triple-view Convolutional Neural Networks for COVID-19 Diagnosis with Chest X-ray
Jianjia Zhang
14
2
0
27 Oct 2020
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image
  Translation
Synthesis of COVID-19 Chest X-rays using Unpaired Image-to-Image Translation
H. Zunair
A. Ben Hamza
MedIm
43
38
0
20 Oct 2020
An Empirical Study on Detecting COVID-19 in Chest X-ray Images Using
  Deep Learning Based Methods
An Empirical Study on Detecting COVID-19 in Chest X-ray Images Using Deep Learning Based Methods
Ramtin Babaeipour
E. Azizi
H. Khotanlou
8
1
0
10 Oct 2020
RANDGAN: Randomized Generative Adversarial Network for Detection of
  COVID-19 in Chest X-ray
RANDGAN: Randomized Generative Adversarial Network for Detection of COVID-19 in Chest X-ray
Saman Motamed
Patrik Rogalla
Farzad Khalvati
OOD
MedIm
14
62
0
06 Oct 2020
Assessing Automated Machine Learning service to detect COVID-19 from
  X-Ray and CT images: A Real-time Smartphone Application case study
Assessing Automated Machine Learning service to detect COVID-19 from X-Ray and CT images: A Real-time Smartphone Application case study
Razib Mustafiz
K. Mohsin
9
2
0
03 Oct 2020
Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis:
  A Review
Medical Imaging and Computational Image Analysis in COVID-19 Diagnosis: A Review
Shahabedin Nabavi
Azar Ejmalian
M. Moghaddam
A. A. Abin
Alejandro F. Frangi
M. Mohammadi
H. S. Rad
16
34
0
01 Oct 2020
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for
  Identifying COVID-19 on Chest X-rays
GraphXCOVID: Explainable Deep Graph Diffusion Pseudo-Labelling for Identifying COVID-19 on Chest X-rays
Angelica I Aviles-Rivero
P. Sellars
Carola-Bibiane Schönlieb
Nicolas Papadakis
DiffM
MedIm
SSL
17
30
0
30 Sep 2020
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable
  in Machine Learning and Deep Learning
COVID-CT-MD: COVID-19 Computed Tomography (CT) Scan Dataset Applicable in Machine Learning and Deep Learning
Parnian Afshar
Shahin Heidarian
Nastaran Enshaei
F. Naderkhani
M. Rafiee
A. Oikonomou
Faranak Babaki Fard
K. Samimi
Konstantinos N. Plataniotis
Arash Mohammadi
OOD
22
58
0
28 Sep 2020
Potential Features of ICU Admission in X-ray Images of COVID-19 Patients
Potential Features of ICU Admission in X-ray Images of COVID-19 Patients
D. Gomes
Anwaar Ulhaq
M. Paul
M. J. Horry
Subrata Chakraborty
M. Saha
Tanmoy Debnath
D. M. Motiur
24
9
0
26 Sep 2020
Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer
  Learning GAN
Generating Realistic COVID19 X-rays with a Mean Teacher + Transfer Learning GAN
Sumeet Menon
Joshua Galita
David Chapman
A. Gangopadhyay
Jayalakshmi Mangalagiri
Phuong Nguyen
Y. Yesha
Yelena Yesha
Babak Saboury
Michael Morris
MedIm
15
14
0
26 Sep 2020
ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on
  EfficientNet to Detect COVID-19 From Chest X-rays
ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays
N. K. Chowdhury
M. A. Kabir
Md. Muhtadir Rahman
Noortaz Rezoana
14
57
0
24 Sep 2020
An Attention Mechanism with Multiple Knowledge Sources for COVID-19
  Detection from CT Images
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images
D. M. Nguyen
Duy M. Nguyen
Huong Vu
Binh T. Nguyen
Fabrizio Nunnari
Daniel Sonntag
25
1
0
23 Sep 2020
A free web service for fast COVID-19 classification of chest X-Ray
  images
A free web service for fast COVID-19 classification of chest X-Ray images
J. D. B. Castro
Ricardo Rei
J. E. Ruiz
Pedro Marco Achanccaray Diaz
S. A. Canchumuni
C. M. Villalobos
Felipe Borges Coelho
L. Mendoza
M. Pacheco
13
0
0
27 Aug 2020
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using
  X-ray Chest Images
Correcting Data Imbalance for Semi-Supervised Covid-19 Detection Using X-ray Chest Images
Saul Calderon-Ramirez
Shengxiang-Yang
Armaghan Moemeni
David Elizondo
Simon Colreavy-Donnelly
Luis Fernando Chavarria-Estrada
Miguel A. Molina-Cabello
29
43
0
19 Aug 2020
A Data-Efficient Deep Learning Based Smartphone Application For
  Detection Of Pulmonary Diseases Using Chest X-rays
A Data-Efficient Deep Learning Based Smartphone Application For Detection Of Pulmonary Diseases Using Chest X-rays
H. Shalu
P. Harikrishnan
Akash Das
Megdut Mandal
Harshavardhan M Sali
Juned Kadiwala
MedIm
16
0
0
19 Aug 2020
Common pitfalls and recommendations for using machine learning to detect
  and prognosticate for COVID-19 using chest radiographs and CT scans
Common pitfalls and recommendations for using machine learning to detect and prognosticate for COVID-19 using chest radiographs and CT scans
M. Roberts
D. Driggs
Matthew Thorpe
J. Gilbey
Michael Yeung
...
Kang Zhang
S. Stranks
James H. F. Rudd
Evis Sala
Carola-Bibiane Schönlieb
OOD
16
766
0
14 Aug 2020
A Review on Deep Learning Techniques for the Diagnosis of Novel
  Coronavirus (COVID-19)
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Md. Milon Islam
Fakhri Karray
R. Alhajj
Jia Zeng
27
216
0
09 Aug 2020
Improving Explainability of Image Classification in Scenarios with Class
  Overlap: Application to COVID-19 and Pneumonia
Improving Explainability of Image Classification in Scenarios with Class Overlap: Application to COVID-19 and Pneumonia
E. Verenich
Alvaro Velasquez
Nazar Khan
Faraz Hussain
21
2
0
06 Aug 2020
MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like
  Diseases Diagnosis From X-ray Scans
MultiCheXNet: A Multi-Task Learning Deep Network For Pneumonia-like Diseases Diagnosis From X-ray Scans
Abdullah Tarek Farag
A. A. El-Wahab
Mahmoud Nada
M. A. El-Hakeem
Omar Sayed Mahmoud
Reem Khaled Rashwan
Ahmad El-Sallab
26
5
0
05 Aug 2020
COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease
  Monitoring
COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring
Rula Amer
Maayan Frid-Adar
Ophir Gozes
Jannette Nassar
H. Greenspan
18
62
0
04 Aug 2020
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray
  Images
Multi-Task Driven Explainable Diagnosis of COVID-19 using Chest X-ray Images
Aakarsh Malhotra
S. Mittal
P. Majumdar
S. Chhabra
K. Thakral
Mayank Vatsa
Richa Singh
S. Chaudhury
Ashwin Pudrod
A. Agrawal
27
60
0
03 Aug 2020
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A
  Survey and Future Research Directions
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen
Quoc Viet Hung Nguyen
Dung Tien Nguyen
Samuel Yang
Peter W. Eklund
Thien Huynh-The
Thanh Tam Nguyen
Quoc-Viet Pham
Imran Razzak
Edbert B. Hsu
36
190
0
30 Jul 2020
PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture
  for Detecting COVID-19 from Chest X-Ray Images
PDCOVIDNet: A Parallel-Dilated Convolutional Neural Network Architecture for Detecting COVID-19 from Chest X-Ray Images
N. K. Chowdhury
Md. Muhtadir Rahman
M. A. Kabir
30
86
0
29 Jul 2020
CovMUNET: A Multiple Loss Approach towards Detection of COVID-19 from Chest X-ray
A. Sayyed
Dipayan Saha
Abdul Rakib Hossain
12
8
0
28 Jul 2020
An Uncertainty-aware Transfer Learning-based Framework for Covid-19
  Diagnosis
An Uncertainty-aware Transfer Learning-based Framework for Covid-19 Diagnosis
Afshar Shamsi
Hamzeh Asgharnezhad
Shirin Shamsi Jokandan
Abbas Khosravi
P. Kebria
D. Nahavandi
S. Nahavandi
D. Srinivasan
OOD
14
133
0
26 Jul 2020
Study of Different Deep Learning Approach with Explainable AI for
  Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray
  Image Dataset
Study of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset
M. Ahsan
Kishor Datta Gupta
Mohammad Maminur Islam
Sajib Sen
Md Lutfar Rahman
Mohammad Shakhawat Hossain
17
34
0
24 Jul 2020
CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors
  and Efficient Neural Networks
CovidDeep: SARS-CoV-2/COVID-19 Test Based on Wearable Medical Sensors and Efficient Neural Networks
Shayan Hassantabar
Novati Stefano
Vishweshwar Ghanakota
A. Ferrari
G. Nicola
R. Bruno
I. Marino
Kenza Hamidouche
N. Jha
18
69
0
20 Jul 2020
Probabilistic Neighbourhood Component Analysis: Sample Efficient
  Uncertainty Estimation in Deep Learning
Probabilistic Neighbourhood Component Analysis: Sample Efficient Uncertainty Estimation in Deep Learning
Ankur Mallick
Chaitanya Dwivedi
B. Kailkhura
Gauri Joshi
T. Y. Han
UQCV
BDL
42
6
0
18 Jul 2020
An Efficient Mixture of Deep and Machine Learning Models for COVID-19
  and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings
An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings
Ali H. Al-timemy
R. Khushaba
Zahraa M. Mosa
Javier Escudero
21
40
0
16 Jul 2020
Predicting Clinical Outcomes in COVID-19 using Radiomics and Deep
  Learning on Chest Radiographs: A Multi-Institutional Study
Predicting Clinical Outcomes in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study
Joseph Bae
S. Kapse
Gagandeep Singh
Rishabh Gattu
S. Ali
...
T. Phatak
Amit Gupta
Jeremy Green
N. Madan
Prateek Prasanna
9
0
0
15 Jul 2020
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision
EMIXER: End-to-end Multimodal X-ray Generation via Self-supervision
Siddharth Biswal
Peiye Zhuang
A. Pyrros
Nasir Siddiqui
Oluwasanmi Koyejo
Jimeng Sun
MedIm
27
5
0
10 Jul 2020
A Survey on Applications of Artificial Intelligence in Fighting Against
  COVID-19
A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19
Jianguo Chen
KenLi Li
Zhaolei Zhang
Keqin Li
Philip S. Yu
35
101
0
04 Jul 2020
An encoder-decoder-based method for COVID-19 lung infection segmentation
An encoder-decoder-based method for COVID-19 lung infection segmentation
O. Elharrouss
Nandhini Subramanian
S. Al-Maadeed
14
36
0
02 Jul 2020
M3d-CAM: A PyTorch library to generate 3D data attention maps for
  medical deep learning
M3d-CAM: A PyTorch library to generate 3D data attention maps for medical deep learning
Karol Gotkowski
Camila González
A. Bucher
Anirban Mukhopadhyay
3DPC
MedIm
9
44
0
01 Jul 2020
Evaluation of Contemporary Convolutional Neural Network Architectures
  for Detecting COVID-19 from Chest Radiographs
Evaluation of Contemporary Convolutional Neural Network Architectures for Detecting COVID-19 from Chest Radiographs
N. Albert
6
3
0
30 Jun 2020
COVID-19 Screening Using Residual Attention Network an Artificial
  Intelligence Approach
COVID-19 Screening Using Residual Attention Network an Artificial Intelligence Approach
V. Sharma
Curtis E. Dyreson
30
18
0
26 Jun 2020
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning
  with application to COVID-19 detection
4S-DT: Self Supervised Super Sample Decomposition for Transfer learning with application to COVID-19 detection
Asmaa Abbas
M. Abdelsamea
M. Gaber
OOD
ViT
11
65
0
26 Jun 2020
Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with
  Similar Indications
Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications
Imon Banerjee
Priyanshu Sinha
S. Purkayastha
Nazanin Mashhaditafreshi
Amara Tariq
J. Jeong
Hari M. Trivedi
J. Gichoya
8
8
0
23 Jun 2020
Stacked Convolutional Neural Network for Diagnosis of COVID-19 Disease
  from X-ray Images
Stacked Convolutional Neural Network for Diagnosis of COVID-19 Disease from X-ray Images
Mahesh Gour
Sweta Jain
8
37
0
22 Jun 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future
COVID-19 Image Data Collection: Prospective Predictions Are the Future
Joseph Paul Cohen
Paul Morrison
Lan Dao
Karsten Roth
T. Duong
Marzyeh Ghassemi
20
776
0
22 Jun 2020
How does this interaction affect me? Interpretable attribution for
  feature interactions
How does this interaction affect me? Interpretable attribution for feature interactions
Michael Tsang
Sirisha Rambhatla
Yan Liu
FAtt
22
85
0
19 Jun 2020
COVIDLite: A depth-wise separable deep neural network with white balance
  and CLAHE for detection of COVID-19
COVIDLite: A depth-wise separable deep neural network with white balance and CLAHE for detection of COVID-19
Manu Siddhartha
Avik Santra
6
44
0
19 Jun 2020
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep
  Learning
COVID-CXNet: Detecting COVID-19 in Frontal Chest X-ray Images using Deep Learning
Arman Haghanifar
Mahdiyar Molahasani
Younhee Choi
S. Deivalakshmi
Seokbum Ko
16
4
0
16 Jun 2020
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and
  CT image collection on COVID-19 from biomedical literature
COVID-19-CT-CXR: a freely accessible and weakly labeled chest X-ray and CT image collection on COVID-19 from biomedical literature
Yifan Peng
Yuxing Tang
Sungwon Lee
Yingying Zhu
Ronald M. Summers
Zhiyong Lu
OOD
14
16
0
11 Jun 2020
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray
  dataset
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset
A. Signoroni
Mattia Savardi
Sergio Benini
Nicola Adami
R. Leonardi
...
F. Vaccher
M. Ravanelli
A. Borghesi
R. Maroldi
D. Farina
19
37
0
08 Jun 2020
UMLS-ChestNet: A deep convolutional neural network for radiological
  findings, differential diagnoses and localizations of COVID-19 in chest
  x-rays
UMLS-ChestNet: A deep convolutional neural network for radiological findings, differential diagnoses and localizations of COVID-19 in chest x-rays
G. González
A. Bustos
J. M. Salinas
M. Iglesia-Vayá
J. Galant
Carlos Cano-Espinosa
X. Barber
Domingo Orozco-Beltrán
M. Cazorla
A. Pertusa
27
7
0
06 Jun 2020
Exploration of Interpretability Techniques for Deep COVID-19
  Classification using Chest X-ray Images
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
S. Chatterjee
Fatima Saad
Chompunuch Sarasaen
Suhita Ghosh
Valerie Krug
...
Petia Radeva
G. Rose
Sebastian Stober
Oliver Speck
A. Nürnberger
19
25
0
03 Jun 2020
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19
  based on Chest X-Ray images
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images
Siham Tabik
A. Gómez-Ríos
J. L. Martín-Rodríguez
I. Sevillano-García
M. Rey-Area
...
J. Luengo
M. A. Valero-González
P. García-Villanova
E. Olmedo-Sánchez
Francisco Herrera
22
269
0
02 Jun 2020
BIMCV COVID-19+: a large annotated dataset of RX and CT images from
  COVID-19 patients
BIMCV COVID-19+: a large annotated dataset of RX and CT images from COVID-19 patients
M. Iglesia-Vayá
J. Saborit
J. Montell
A. Pertusa
A. Bustos
...
Domingo Orozco-Beltrán
Francisco García-García
M. Caparrós
G. González
J. M. Salinas
14
227
0
01 Jun 2020
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