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Lung Infection Quantification of COVID-19 in CT Images with Deep
  Learning
v1v2v3 (latest)

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning

10 March 2020
F. Shan
Yaozong Gao
Jun Wang
Weiya Shi
N. Shi
Miaofei Han
Zhong Xue
Dinggang Shen
Yuxin Shi
ArXiv (abs)PDFHTML

Papers citing "Lung Infection Quantification of COVID-19 in CT Images with Deep Learning"

50 / 100 papers shown
Spider: A Unified Framework for Context-dependent Concept Segmentation
Spider: A Unified Framework for Context-dependent Concept Segmentation
Xiaoqi Zhao
Youwei Pang
Wei Ji
Baicheng Sheng
Jiaming Zuo
Lihe Zhang
Huchuan Lu
391
19
0
02 May 2024
Empowering Medical Imaging with Artificial Intelligence: A Review of
  Machine Learning Approaches for the Detection, and Segmentation of COVID-19
  Using Radiographic and Tomographic Images
Empowering Medical Imaging with Artificial Intelligence: A Review of Machine Learning Approaches for the Detection, and Segmentation of COVID-19 Using Radiographic and Tomographic Images
Sayed Amir Mousavi Mobarakeh
K. Kazemi
A. Aarabi
H. Danyali
208
2
0
13 Jan 2024
MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis
MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis
Ling Yang
Shuihua Wang
Yudong Zhang
282
0
0
25 Apr 2023
M$^{2}$SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation
M2^{2}2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation
Xiaoqi Zhao
Hongpeng Jia
Youwei Pang
Long Lv
Feng Tian
Lihe Zhang
Weiwei Sun
Huchuan Lu
440
23
0
20 Mar 2023
Personalized and privacy-preserving federated heterogeneous medical
  image analysis with PPPML-HMI
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMImedRxiv (medRxiv), 2023
Juexiao Zhou
Longxi Zhou
Di Wang
Xiaopeng Xu
Haoyang Li
Yuetan Chu
Wenkai Han
Xin Gao
277
33
0
20 Feb 2023
COVID-19 Infection Analysis Framework using Novel Boosted CNNs and
  Radiological Images
COVID-19 Infection Analysis Framework using Novel Boosted CNNs and Radiological ImagesScientific Reports (Sci Rep), 2023
Dr. Saddam Hussain Khan
201
17
0
06 Feb 2023
MyI-Net: Fully Automatic Detection and Quantification of Myocardial
  Infarction from Cardiovascular MRI Images
MyI-Net: Fully Automatic Detection and Quantification of Myocardial Infarction from Cardiovascular MRI Images
Shuihua Wang
A. M. Abdelaty
K. Parke
J. Arnold
G. Mccann
Ivan Y. Tyukin
193
8
0
28 Dec 2022
Boosting COVID-19 Severity Detection with Infection-aware Contrastive
  Mixup Classification
Boosting COVID-19 Severity Detection with Infection-aware Contrastive Mixup Classification
Junlin Hou
Jilan Xu
Nan Zhang
Yuejie Zhang
Xiao-Yong Zhang
Rui Feng
239
8
0
26 Nov 2022
COVID-19 Detection and Analysis From Lung CT Images using Novel Channel
  Boosted CNNs
COVID-19 Detection and Analysis From Lung CT Images using Novel Channel Boosted CNNsExpert systems with applications (ESWA), 2022
Dr. Saddam Hussain Khan
363
50
0
22 Sep 2022
Understanding the Tricks of Deep Learning in Medical Image Segmentation:
  Challenges and Future Directions
Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions
Dong Zhang
Yi Lin
Hao Chen
Zhuotao Tian
Xin Yang
Jinhui Tang
Kwang-Ting Cheng
VLM
361
19
0
21 Sep 2022
Boundary Guided Semantic Learning for Real-time COVID-19 Lung Infection
  Segmentation System
Boundary Guided Semantic Learning for Real-time COVID-19 Lung Infection Segmentation SystemIEEE transactions on consumer electronics (IEEE TCE), 2022
Runmin Cong
Yumo Zhang
Ning Yang
Haisheng Li
Xueqi Zhang
Ruochen Li
Zewen Chen
Yao-Min Zhao
Sam Kwong
241
55
0
07 Sep 2022
A review of Deep learning Techniques for COVID-19 identification on Chest CT images
S. BrisklineKiruba
A. Petchiammal
D. Murugan
359
1
0
29 Jul 2022
BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung
  Infection Segmentation from CT Images
BCS-Net: Boundary, Context and Semantic for Automatic COVID-19 Lung Infection Segmentation from CT ImagesIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2022
Runmin Cong
Hao Yang
Qiuping Jiang
Wei Gao
Haisheng Li
C. Wang
Yao-Min Zhao
Sam Kwong
197
48
0
17 Jul 2022
Comparative Analysis of State-of-the-Art Deep Learning Models for
  Detecting COVID-19 Lung Infection from Chest X-Ray Images
Comparative Analysis of State-of-the-Art Deep Learning Models for Detecting COVID-19 Lung Infection from Chest X-Ray Images
Zeba Ghaffar
Pir Masoom Shah
Hikmat Khan
Syed Farhan Alam Zaidi
Abdullah Gani
I. Khan
M. A. Shah
S. M. Fakhrul Islam
214
8
0
01 Jul 2022
On Calibrated Model Uncertainty in Deep Learning
On Calibrated Model Uncertainty in Deep Learning
Biraja Ghoshal
A. Tucker
UQCVMedIm
269
14
0
15 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 ImagePLoS ONE (PLoS ONE), 2022
Lucy Nwosu
Xiangfang Li
Lijun Qian
Seungchan Kim
Xishuang Dong
359
4
0
27 May 2022
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain
  Feature Maps Consistency
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps ConsistencyJournal of Imaging (JI), 2022
Stanislav Shimovolos
Andrey Shushko
Mikhail Belyaev
B. Shirokikh
OOD
224
2
0
28 Mar 2022
COVID-19 Detection Using CT Image Based On YOLOv5 Network
COVID-19 Detection Using CT Image Based On YOLOv5 Network
R. Qu
Yi Yang
Yuwei Wang
253
17
0
24 Jan 2022
Automated assessment of disease severity of COVID-19 using artificial
  intelligence with synthetic chest CT
Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT
Mengqiu Liu
Ying Liu
Yidong Yang
Aiping Liu
Shana Li
...
Xiaohui Qiu
Yang Li
Weifu Lv
Peng Zhang
J. Wen
240
1
0
11 Dec 2021
Robust Weakly Supervised Learning for COVID-19 Recognition Using
  Multi-Center CT Images
Robust Weakly Supervised Learning for COVID-19 Recognition Using Multi-Center CT Images
Qinghao Ye
Yuan Gao
Weiping Ding
Z. Niu
Chengjia Wang
...
Minhao Wang
E. Fang
Wade Menpes-Smith
Jun Xia
Guang Yang
OOD
265
36
0
09 Dec 2021
AI-Powered Semantic Segmentation and Fluid Volume Calculation of Lung CT
  images in Covid-19 Patients
AI-Powered Semantic Segmentation and Fluid Volume Calculation of Lung CT images in Covid-19 Patients
Sabeerali K.P
Saleena T.S
P. Dr.MuhamedIlyas
Neha Mohan
174
2
0
29 Oct 2021
Blockchain and AI-based Solutions to Combat Coronavirus (COVID-19)-like
  Epidemics: A Survey
Blockchain and AI-based Solutions to Combat Coronavirus (COVID-19)-like Epidemics: A SurveyIEEE Access (IEEE Access), 2020
Dinh C. Nguyen
Ming Ding
P. Pathirana
Aruna Seneviratne
203
202
0
28 Jun 2021
Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19
  Diagnosis
Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis
Zhongliang Li
Zhihao Jin
Xuechen Li
Linlin Shen
SSLMedIm
221
1
0
23 Jun 2021
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric
  Inter-Label Relations For COVID Image Analysis
CT Image Synthesis Using Weakly Supervised Segmentation and Geometric Inter-Label Relations For COVID Image Analysis
Dwarikanath Mahapatra
Ankur Singh
234
10
0
15 Jun 2021
CoviLearn: A Machine Learning Integrated Smart X-Ray Device in
  Healthcare Cyber-Physical System for Automatic Initial Screening of COVID-19
CoviLearn: A Machine Learning Integrated Smart X-Ray Device in Healthcare Cyber-Physical System for Automatic Initial Screening of COVID-19SN Computer Science (SN Comput. Sci.), 2021
Debanjan Das
Sagnik Ghosal
Deewanshu Ukey
Gourav Chowdhary
Saraju Mohanty
162
13
0
09 Jun 2021
Systematic investigation into generalization of COVID-19 CT deep
  learning models with Gabor ensemble for lung involvement scoring
Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring
M. J. Horry
Subrata Chakraborty
B. Pradhan
M. Fallahpoor
Chegeni Hossein
M. Paul
212
7
0
20 Apr 2021
Automated lung segmentation from CT images of normal and COVID-19
  pneumonia patients
Automated lung segmentation from CT images of normal and COVID-19 pneumonia patients
Faeze Gholamiankhah
S. Mostafapour
N. Goushbolagh
Seyedjafar Shojaerazavi
P. Layegh
S. Tabatabaei
H. Arabi
333
12
0
05 Apr 2021
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative
  Adversarial Network
Toward Generating Synthetic CT Volumes using a 3D-Conditional Generative Adversarial Network
Jayalakshmi Mangalagiri
David Chapman
A. Gangopadhyay
Y. Yesha
Joshua Galita
Sumeet Menon
Yelena Yesha
Babak Saboury
Michael Morris
Phuong Nguyen
3DPCMedIm
209
7
0
02 Apr 2021
Semi-supervised Learning for COVID-19 Image Classification via ResNet
Semi-supervised Learning for COVID-19 Image Classification via ResNetEAI Endorsed Transactions on Bioengineering and Bioinformatics (TEEBB), 2021
Lucy Nwuso
Xiangfang Li
Lijun Qian
Seungchan Kim
Xishuang Dong
279
5
0
27 Feb 2021
Exploiting Shared Knowledge from Non-COVID Lesions for
  Annotation-Efficient COVID-19 CT Lung Infection Segmentation
Exploiting Shared Knowledge from Non-COVID Lesions for Annotation-Efficient COVID-19 CT Lung Infection SegmentationIEEE journal of biomedical and health informatics (JBHI), 2020
Yichi Zhang
Qingcheng Liao
Lin Yuan
He Zhu
Jiezhen Xing
Jicong Zhang
550
31
0
31 Dec 2020
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and
  Applications
Diagnosis/Prognosis of COVID-19 Images: Challenges, Opportunities, and Applications
Arash Mohammadi
Yingxu Wang
Nastaran Enshaei
Parnian Afshar
F. Naderkhani
A. Oikonomou
M. Rafiee
H. C. R. Oliveira
Svetlana Yanushkevich
Konstantinos N. Plataniotis
LM&MA
233
5
0
28 Dec 2020
CHS-Net: A Deep learning approach for hierarchical segmentation of
  COVID-19 infected CT images
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT imagesNeural Processing Letters (NPL), 2020
Narinder Singh Punn
Sonali Agarwal
606
35
0
13 Dec 2020
Artificial Intelligence for COVID-19 Detection -- A state-of-the-art
  review
Artificial Intelligence for COVID-19 Detection -- A state-of-the-art review
Parsa Sarosh
S. A. Parah
Romany F Mansur
G. M. Bhat
268
3
0
25 Nov 2020
Federated Semi-Supervised Learning for COVID Region Segmentation in
  Chest CT using Multi-National Data from China, Italy, Japan
Federated Semi-Supervised Learning for COVID Region Segmentation in Chest CT using Multi-National Data from China, Italy, JapanMedical Image Analysis (MedIA), 2020
Dong Yang
Ziyue Xu
Wenqi Li
Andriy Myronenko
H. Roth
...
Hitoshi Mori
K. Tamura
P. An
Bradford J. Wood
Daguang Xu
OODFedML
333
94
0
23 Nov 2020
Explainable-by-design Semi-Supervised Representation Learning for
  COVID-19 Diagnosis from CT Imaging
Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging
Abel Díaz Berenguer
Hichem Sahli
Boris Joukovsky
Maryna Kvasnytsia
Ine Dirks
...
P. Meunier
S. Gryspeerdt
K. Smet
B. Jansen
Jef Vandemeulebroucke
363
9
0
23 Nov 2020
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
Explainable COVID-19 Detection Using Chest CT Scans and Deep Learning
H. Alshazly
C. Linse
Erhardt Barth
T. Martinetz
237
169
0
09 Nov 2020
Multi-stage transfer learning for lung segmentation using portable X-ray
  devices for patients with COVID-19
Multi-stage transfer learning for lung segmentation using portable X-ray devices for patients with COVID-19Expert systems with applications (ESWA), 2020
P. Vidal
J. D. Moura
Jorge Novo
M. Ortega
OOD
433
63
0
30 Oct 2020
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation
Zhanwei Xu
Yukun Cao
Cheng Jin
Guozhu Shao
Xiaoqing Liu
Jie Zhou
Heshui Shi
Jianjiang Feng
MedIm
302
29
0
19 Oct 2020
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia
  Screening from CT Imaging
M3Lung-Sys: A Deep Learning System for Multi-Class Lung Pneumonia Screening from CT Imaging
Xuelin Qian
Huazhu Fu
Weiya Shi
Tao Chen
Yanwei Fu
F. Shan
Xiangyang Xue
222
58
0
07 Oct 2020
Automatic Deep Learning System for COVID-19 Infection Quantification in
  chest CT
Automatic Deep Learning System for COVID-19 Infection Quantification in chest CTMultimedia tools and applications (MTA), 2020
O. Alirr
OOD
262
22
0
01 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 ReviewComputers in Biology and Medicine (Comput Biol Med), 2020
Shahabedin Nabavi
Azar Ejmalian
M. Moghaddam
A. A. Abin
Alejandro F. Frangi
M. Mohammadi
H. S. Rad
250
36
0
01 Oct 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
409
1
0
23 Sep 2020
Impact of lung segmentation on the diagnosis and explanation of COVID-19
  in chest X-ray images
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray imagesItalian 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
453
128
0
21 Sep 2020
Classification and Region Analysis of COVID-19 Infection using Lung CT
  Images and Deep Convolutional Neural Networks
Classification and Region Analysis of COVID-19 Infection using Lung CT Images and Deep Convolutional Neural NetworksSocial Science Research Network (SSRN), 2020
Dr. Saddam Hussain Khan
A. Sohail
Asifullah Khan
Yeon Soo Lee
254
27
0
16 Sep 2020
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound
  Image Analysis
Accelerating COVID-19 Differential Diagnosis with Explainable Ultrasound Image Analysis
Jannis Born
Nina Wiedemann
G. Brändle
Charlotte Buhre
Bastian Rieck
Karsten Borgwardt
216
46
0
13 Sep 2020
Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial
  Networks
Segmentation of Lungs in Chest X-Ray Image Using Generative Adversarial NetworksIEEE Access (IEEE Access), 2020
Faizan Munawar
Shoaib Azmat
Talha Iqbal
C. Grönlund
Hazrat Ali
GANMedIm
258
67
0
12 Sep 2020
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19
  Lesion Segmentation in CT scans
Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans
Paschalis A. Bizopoulos
N. Vretos
P. Daras
794
19
0
10 Sep 2020
Comparative performance analysis of the ResNet backbones of Mask RCNN to
  segment the signs of COVID-19 in chest CT scans
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
210
11
0
21 Aug 2020
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the
  Right Direction
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction
David Leslie
363
73
0
15 Aug 2020
Automated detection and quantification of COVID-19 airspace disease on
  chest radiographs: A novel approach achieving radiologist-level performance
  using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based
  ground-truth
Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth
E. Barbosa
W. Gefter
Rochelle Yang
Florin-Cristian Ghesu
Siqi Liu
...
A. Balachandran
S. Vogt
Valentin Ziebandt
Steffen Kappler
Dorin Comaniciu
293
6
0
13 Aug 2020
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