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2004.02731
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Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19
6 April 2020
F. Shi
Jun Wang
Jun Shi
Zi-xiang Wu
Qian Wang
Zhenyu Tang
Kelei He
Yinghuan Shi
Dinggang Shen
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Papers citing
"Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19"
28 / 78 papers shown
Title
DeepSOCIAL: Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic
Mahdi Rezaei
Mohsen Azarmi
22
154
0
26 Aug 2020
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
M. Roberts
D. Driggs
Matthew Thorpe
J. Gilbey
Michael Yeung
...
Kang Zhang
S. Stranks
James H. F. Rudd
Evis Sala
Carola-Bibiane Schönlieb
OOD
26
768
0
14 Aug 2020
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Md. Milon Islam
Fakhri Karray
R. Alhajj
Jia Zeng
32
216
0
09 Aug 2020
A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises
S. Kevin Zhou
H. Greenspan
Christos Davatzikos
James S. Duncan
Bram van Ginneken
A. Madabhushi
Jerry L. Prince
Daniel Rueckert
Ronald M. Summers
58
627
0
02 Aug 2020
Artificial Intelligence in the Battle against Coronavirus (COVID-19): A Survey and Future Research Directions
Thanh Thi Nguyen
Quoc Viet Hung Nguyen
Dung 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
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
39
69
0
22 Jul 2020
COVID-19 Screening Using Residual Attention Network an Artificial Intelligence Approach
V. Sharma
Curtis E. Dyreson
30
18
0
26 Jun 2020
Automated Chest CT Image Segmentation of COVID-19 Lung Infection based on 3D U-Net
Dominik Muller
Iñaki Soto Rey
Frank Kramer
33
70
0
24 Jun 2020
Stacked Convolutional Neural Network for Diagnosis of COVID-19 Disease from X-ray Images
Mahesh Gour
Sweta Jain
8
37
0
22 Jun 2020
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images
Delong Chen
Shunhui Ji
Fan Liu
Zewen Li
Xinyu Zhou
MedIm
37
11
0
09 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
24
37
0
08 Jun 2020
Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-Ray Images
Anas Tahir
Yazan Qiblawey
Amith Khandakar
Tawsifur Rahman
U. Khurshid
F. Musharavati
M. T. Islam
S. Kiranyaz
M. Chowdhury
25
49
0
23 May 2020
Increasing-Margin Adversarial (IMA) Training to Improve Adversarial Robustness of Neural Networks
Linhai Ma
Liang Liang
AAML
31
18
0
19 May 2020
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images
Kelei He
Wei Zhao
Xingzhi Xie
Wen Ji
Mingxia Liu
...
F. Shi
Yang Gao
Jun Liu
Junfeng Zhang
Dinggang Shen
36
96
0
08 May 2020
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning
Hengyuan Kang
L. Xia
Fuhua Yan
Zhibin Wan
F. Shi
...
Huiting Jiang
Dijia Wu
H. Sui
Changqing Zhang
Dinggang Shen
SSL
50
204
0
06 May 2020
Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia
Xi Ouyang
Jiayu Huo
L. Xia
F. Shan
Jun Liu
...
Xiaohuan Cao
Yaozong Gao
Dijia Wu
Qian Wang
Dinggang Shen
30
312
0
06 May 2020
Intra-model Variability in COVID-19 Classification Using Chest X-ray Images
Brian D. Goodwin
Corey Jaskolski
Can Zhong
Herick Asmani
OOD
42
28
0
30 Apr 2020
Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning
Tianyang Li
Zhongyi Han
B. Wei
Yuanjie Zheng
Yanfei Hong
Jinyu Cong
OOD
29
61
0
27 Apr 2020
Development of a Machine-Learning System to Classify Lung CT Scan Images into Normal/COVID-19 Class
Seifedine Kadry
V. Rajinikanth
Seungmin Rho
N. M. Raja
Vaddi Seshagiri Rao
Palani Thanaraj Krishnan
22
40
0
24 Apr 2020
Inf-Net: Automatic COVID-19 Lung Infection Segmentation from CT Images
Deng-Ping Fan
Tao Zhou
Ge-Peng Ji
Yi Zhou
Geng Chen
Huazhu Fu
Jianbing Shen
Ling Shao
13
963
0
22 Apr 2020
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images
Xiaocong Chen
Lina Yao
Yu Zhang
36
197
0
12 Apr 2020
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays
Xin Li
Chengyin Li
D. Zhu
29
79
0
06 Apr 2020
Severity Assessment of Coronavirus Disease 2019 (COVID-19) Using Quantitative Features from Chest CT Images
Zhenyu Tang
Wei Zhao
Xingzhi Xie
Zheng Zhong
F. Shi
Jun Liu
Dinggang Shen
33
171
0
26 Mar 2020
Classification of COVID-19 in chest X-ray images using DeTraC deep convolutional neural network
Asmaa Abbas
M. Abdelsamea
M. Gaber
24
848
0
26 Mar 2020
Automatic Detection of Coronavirus Disease (COVID-19) Using X-ray Images and Deep Convolutional Neural Networks
A. Narin
Ceren Kaya
Ziynet Pamuk
80
1,762
0
24 Mar 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep Learning
F. Shan
Yaozong Gao
Jun Wang
Weiya Shi
N. Shi
Miaofei Han
Zhong Xue
Dinggang Shen
Yuxin Shi
113
574
0
10 Mar 2020
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
224
292
0
01 May 2018
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