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A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images
Information Fusion (Inf. Fusion), 2020
27 April 2020
Gianluca Maguolo
L. Nanni
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Papers citing
"A Critic Evaluation of Methods for COVID-19 Automatic Detection from X-Ray Images"
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A general-purpose AI assistant embedded in an open-source radiology information system
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Vision Transformers in Medical Imaging: A Review
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18 Nov 2022
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System
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Sijia Liu
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286
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09 Sep 2022
Comparative Analysis of State-of-the-Art Deep Learning Models for Detecting COVID-19 Lung Infection from Chest X-Ray Images
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Pir Masoom Shah
Hikmat Khan
Syed Farhan Alam Zaidi
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S. M. Fakhrul Islam
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01 Jul 2022
Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning Approaches
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O. Elharrouss
Y. Akbari
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248
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16 Jun 2022
BIO-CXRNET: A Robust Multimodal Stacking Machine Learning Technique for Mortality Risk Prediction of COVID-19 Patients using Chest X-Ray Images and Clinical Data
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M. Chowdhury
Amith Khandakar
Z. Mahbub
Md. Sakib Hossain
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Khandaker F. Islam
S. Kashem
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15 Jun 2022
Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making in Healthcare
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Dustin Burson
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205
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27 Apr 2022
A Survey of Deep Learning Techniques for the Analysis of COVID-19 and their usability for Detecting Omicron
Asifullah Khan
Dr. Saddam Hussain Khan
Mahrukh Saif
Asiya Batool
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253
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13 Feb 2022
Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimization
Nature Communications (Nat Commun), 2022
P. R. Bassi
Sergio S J Dertkigil
Andrea Cavalli
AI4CE
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01 Feb 2022
POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection
International Conference on Conceptual Structures (ICCS), 2022
Tomasz Szczepañski
Arkadiusz Sitek
Tomasz Trzciñski
Szymon Płotka
363
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23 Jan 2022
Classification of COVID-19 on chest X-Ray images using Deep Learning model with Histogram Equalization and Lungs Segmentation
Aman Swaraj
Karan Verma
354
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05 Dec 2021
Explanatory Analysis and Rectification of the Pitfalls in COVID-19 Datasets
Samyak Prajapati
Japman Singh Monga
Shaanya Singh
Amrit Raj
Yuvraj Singh Champawat
C. Prakash
258
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10 Nov 2021
Requirement analysis for an artificial intelligence model for the diagnosis of the COVID-19 from chest X-ray data
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2021
T. Kalliokoski
292
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24 Oct 2021
CXR-Net: An Encoder-Decoder-Encoder Multitask Deep Neural Network for Explainable and Accurate Diagnosis of COVID-19 pneumonia with Chest X-ray Images
IEEE journal of biomedical and health informatics (JBHI), 2021
Xin Zhang
Liangxiu Han
Tam Sobeih
Lianghao Han
Nina Dempsey
Symeon Lechareas
A. Tridente
Haoming Chen
Stephen White
MedIm
301
24
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20 Oct 2021
Deep survival analysis with longitudinal X-rays for COVID-19
IEEE International Conference on Computer Vision (ICCV), 2021
Michelle Shu
Richard Strong Bowen
Charles Herrmann
Gengmo Qi
Michele Santacatterina
Ramin Zabih
199
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22 Aug 2021
A Systematic Collection of Medical Image Datasets for Deep Learning
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Guangming Zhu
Cong Hua
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Basheer Bennamoun
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Xu Xu
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300
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24 Jun 2021
Towards Robust Classification Model by Counterfactual and Invariant Data Generation
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320
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02 Jun 2021
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case
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Alberto Lamas
Jules Sanchez
Gianni Franchi
Ivan Donadello
Siham Tabik
David Filliat
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Rosana Montes
Francisco Herrera
362
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24 Apr 2021
COVID-19 Modeling: A Review
ACM Computing Surveys (CSUR), 2021
LongBing Cao
Qing Liu
331
52
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16 Apr 2021
COVID-19 detection using chest X-rays: is lung segmentation important for generalization?
Research on Biomedical Engineering (RBE), 2021
P. R. Bassi
R. Attux
250
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12 Apr 2021
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
LM&MA
336
436
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15 Mar 2021
Self-supervised deep convolutional neural network for chest X-ray classification
IEEE Access (IEEE Access), 2021
Matej Gazda
J. Gazda
J. Plávka
P. Drotár
SSL
385
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04 Mar 2021
EnD: Entangling and Disentangling deep representations for bias correction
Computer Vision and Pattern Recognition (CVPR), 2021
Enzo Tartaglione
C. Barbano
Marco Grangetto
487
143
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02 Mar 2021
Highly Efficient Representation and Active Learning Framework and Its Application to Imbalanced Medical Image Classification
Heng Hao
H. Moon
Sima Didari
J. Woo
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360
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25 Feb 2021
Triple-view Convolutional Neural Networks for COVID-19 Diagnosis with Chest X-ray
Jianjia Zhang
290
3
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27 Oct 2020
COVID-19 Classification of X-ray Images Using Deep Neural Networks
European Radiology (Eur Radiol), 2020
Elisha Goldstein
Daphna Keidar
Daniel Yaron
Y. Shachar
Ayelet Blass
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N. Bogot
A. Grubstein
N. Shabshin
Yishai M. Elyada
Yonina C. Eldar
212
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03 Oct 2020
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
Italian National Conference on Sensors (INS), 2020
Lucas O. Teixeira
R. M. Pereira
Diego Bertolini
Luiz Eduardo Soares de Oliveira
L. Nanni
George D. C. Cavalcanti
Yandre M. G. Costa
461
128
0
21 Sep 2020
On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets
Beatriz Garcia Santa Cruz
J. Sölter
M. Bossa
A. Husch
OOD
322
11
0
26 Aug 2020
Comparative performance analysis of the ResNet backbones of Mask RCNN to segment the signs of COVID-19 in chest CT scans
Muhammad Aleem
R. Raj
Arshad Khan
212
11
0
21 Aug 2020
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
376
879
0
14 Aug 2020
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
IEEE Access (IEEE Access), 2020
Md. Milon Islam
Fakhri Karray
R. Alhajj
Jia Zeng
391
233
0
09 Aug 2020
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
255
5
0
05 Aug 2020
COVID-19 in CXR: from Detection and Severity Scoring to Patient Disease Monitoring
Rula Amer
Maayan Frid-Adar
Ophir Gozes
Jannette Nassar
H. Greenspan
373
65
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04 Aug 2020
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
169
0
0
15 Jul 2020
COVID-19 Image Data Collection: Prospective Predictions Are the Future
Joseph Paul Cohen
Paul Morrison
Lan Dao
Karsten Roth
T. Duong
Marzyeh Ghassemi
389
828
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22 Jun 2020
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
348
37
0
08 Jun 2020
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images
IEEE journal of biomedical and health informatics (JBHI), 2020
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
342
301
0
02 Jun 2020
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios
Computer Methods and Programs in Biomedicine (CMPB), 2020
R. M. Pereira
Diego Bertolini
Lucas O. Teixeira
C. Silla
Yandre M. G. Costa
261
423
0
13 Apr 2020
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