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Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community
  Acquired Pneumonia

Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia

6 May 2020
Xi Ouyang
Jiayu Huo
L. Xia
F. Shan
Jun Liu
Zhanhao Mo
Fuhua Yan
Z. Ding
Qi Yang
Bin Song
F. Shi
Huan Yuan
Ying Wei
Xiaohuan Cao
Yaozong Gao
Dijia Wu
Qian Wang
Dinggang Shen
ArXivPDFHTML

Papers citing "Dual-Sampling Attention Network for Diagnosis of COVID-19 from Community Acquired Pneumonia"

45 / 45 papers shown
Title
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
32
2
0
13 Jan 2024
Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease
  Diagnosis using Brain Images
Attention-based 3D CNN with Multi-layer Features for Alzheimer's Disease Diagnosis using Brain Images
Yanteng Zhang
Qizhi Teng
Xiaohai He
Tong Niu
Lipei Zhang
Yan Liu
Chao Ren
MedIm
19
7
0
10 Aug 2023
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using
  Large Language Models
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models
Sheng Wang
Zihao Zhao
Xi Ouyang
Qian Wang
Dinggang Shen
LM&MA
MedIm
40
140
0
14 Feb 2023
Multi-scale Transformer Network with Edge-aware Pre-training for
  Cross-Modality MR Image Synthesis
Multi-scale Transformer Network with Edge-aware Pre-training for Cross-Modality MR Image Synthesis
Yonghao Li
Tao Zhou
Kelei He
Yi Zhou
Dinggang Shen
ViT
MedIm
25
23
0
02 Dec 2022
CNN-based Local Vision Transformer for COVID-19 Diagnosis
CNN-based Local Vision Transformer for COVID-19 Diagnosis
Hongyan Xu
Xiu Su
Dadong Wang
ViT
MedIm
30
2
0
05 Jul 2022
Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis
Multi-scale alignment and Spatial ROI Module for COVID-19 Diagnosis
Hongyan Xu
Dadong Wang
Arcot Sowmya
24
1
0
04 Jul 2022
3D unsupervised anomaly detection and localization through virtual
  multi-view projection and reconstruction: Clinical validation on low-dose
  chest computed tomography
3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography
Kyungsu Kim
S. Oh
J. Lee
M. Chung
19
3
0
18 Jun 2022
Dual Windows Are Significant: Learning from Mediastinal Window and
  Focusing on Lung Window
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window
Qiuli Wang
Xin Tan
Chen Liu
26
0
0
08 Jun 2022
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient
  Approach to Multi-Modality Medical Image Segmentation
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation
Cheng Bian
Chenglang Yuan
Kai Ma
Shuang Yu
Dong Wei
Yefeng Zheng
VLM
MedIm
17
31
0
19 Mar 2022
Knee Cartilage Defect Assessment by Graph Representation and Surface
  Convolution
Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution
Zixu Zhuang
Liping Si
Sheng Wang
Kai Xuan
Xi Ouyang
...
Zhong Xue
Lichi Zhang
Dinggang Shen
Weiwu Yao
Qian Wang
37
5
0
12 Jan 2022
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
34
33
0
09 Dec 2021
Advancement of Deep Learning in Pneumonia and Covid-19 Classification
  and Localization: A Qualitative and Quantitative Analysis
Advancement of Deep Learning in Pneumonia and Covid-19 Classification and Localization: A Qualitative and Quantitative Analysis
Aakash Shah
Manan A. Shah
18
0
0
16 Nov 2021
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain
  Adaptation
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation
Gengxin Xu
Chen Liu
Jun Liu
Z. Ding
F. Shi
...
Xiaoming Li
Ying Wei
Yaozong Gao
Chuan-Xian Ren
Dinggang Shen
OOD
37
36
0
08 Sep 2021
FDA: Feature Decomposition and Aggregation for Robust Airway
  Segmentation
FDA: Feature Decomposition and Aggregation for Robust Airway Segmentation
Minghui Zhang
Xin Yu
Hanxiao Zhang
Hao Zheng
Weihao Yu
Hong Pan
Xiang-Ran Cai
Yun Gu
3DPC
19
21
0
07 Sep 2021
DuCN: Dual-children Network for Medical Diagnosis and Similar Case
  Recommendation towards COVID-19
DuCN: Dual-children Network for Medical Diagnosis and Similar Case Recommendation towards COVID-19
Chengtao Peng
Yunfei Long
Senhua Zhu
Dandan Tu
Bin Li
42
0
0
03 Aug 2021
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19
  Patients Using Deep Learning
CoRSAI: A System for Robust Interpretation of CT Scans of COVID-19 Patients Using Deep Learning
Manvel Avetisian
I. Burenko
K. Egorov
V. Kokh
A. Nesterov
A. Nikolaev
Alexander Ponomarchuk
Elena Sokolova
Alexander Tuzhilin
Dmitry Umerenkov
OOD
34
5
0
25 May 2021
DARNet: Dual-Attention Residual Network for Automatic Diagnosis of
  COVID-19 via CT Images
DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT Images
Jun Shi
Huite Yi
Shulan Ruan
Zhaohui Wang
Xiaoyu Hao
Hong An
Wei Wei
30
3
0
14 May 2021
Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study
Explainable AI For COVID-19 CT Classifiers: An Initial Comparison Study
Qinghao Ye
Jun Xia
Guang Yang
26
57
0
25 Apr 2021
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and
  Transfer Learning
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning
Navid Ghassemi
A. Shoeibi
Marjane Khodatars
Jónathan Heras
Alireza Rahimi
A. Zare
R. B. Pachori
Juan M Gorriz
MedIm
35
56
0
24 Apr 2021
Domain adaptation based self-correction model for COVID-19 infection
  segmentation in CT images
Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images
Qiangguo Jin
Hui Cui
Changming Sun
Zhaopeng Meng
Leyi Wei
R. Su
OOD
MedIm
46
47
0
20 Apr 2021
CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge
  Distillation
CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge Distillation
Y. Oh
Jong Chul Ye
MedIm
30
3
0
13 Apr 2021
RCoNet: Deformable Mutual Information Maximization and High-order
  Uncertainty-aware Learning for Robust COVID-19 Detection
RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection
Shunjie Dong
Qianqian Yang
Yu Fu
Mei Tian
Cheng Zhuo
OOD
25
42
0
22 Feb 2021
Detection and severity classification of COVID-19 in CT images using
  deep learning
Detection and severity classification of COVID-19 in CT images using deep learning
Yazan Qiblawey
Anas Tahir
M. Chowdhury
Amith Khandakar
S. Kiranyaz
Tawsifur Rahman
Nabil Ibtehaz
S. Mahmud
Somaya Al-Madeed
F. Musharavati
30
109
0
15 Feb 2021
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices
  with Dilated Convolution and Dual Attention Mechanism
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention Mechanism
Xiangyu Zhao
Peng Zhang
Fan Song
Guangda Fan
Yangyang Sun
Yujia Wang
Zheyuan Tian
Luqi Zhang
Guanglei Zhang
MedIm
19
15
0
10 Feb 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and
  Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond
Guang Yang
Qinghao Ye
Jun Xia
92
482
0
03 Feb 2021
Automatic Detection of B-lines in Lung Ultrasound Videos From Severe
  Dengue Patients
Automatic Detection of B-lines in Lung Ultrasound Videos From Severe Dengue Patients
H. Kerdegari
P. T. Nhat
A. McBride
Vital Consortium
Reza Razavi
N. V. Hao
L. Thwaites
S. Yacoub
Alberto Gómez
28
9
0
01 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 Segmentation
Yichi Zhang
Qingcheng Liao
Lin Yuan
He Zhu
Jiezhen Xing
Jicong Zhang
54
23
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
30
5
0
28 Dec 2020
Checklist for responsible deep learning modeling of medical images based
  on COVID-19 detection studies
Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies
Weronika Hryniewska
Przemysław Bombiński
P. Szatkowski
Paulina Tomaszewska
A. Przelaskowski
P. Biecek
OOD
32
47
0
11 Dec 2020
Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard
  Exudate Segmentation from Colour Fundus Images
Dual-Branch Network with Dual-Sampling Modulated Dice Loss for Hard Exudate Segmentation from Colour Fundus Images
Qing Liu
Haotian Liu
Yixiong Liang
17
11
0
03 Dec 2020
Deep Metric Learning-based Image Retrieval System for Chest Radiograph
  and its Clinical Applications in COVID-19
Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19
Aoxiao Zhong
Xiang Li
Dufan Wu
Hui Ren
Kyungsang Kim
...
W. Chung
Ning Guo
I. Dayan
M. Kalra
Quanzheng Li
24
64
0
26 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, Japan
Dong Yang
Ziyue Xu
Wenqi Li
Andriy Myronenko
H. Roth
...
Hitoshi Mori
K. Tamura
P. An
Bradford J. Wood
Daguang Xu
OOD
FedML
29
27
0
23 Nov 2020
FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection
FLANNEL: Focal Loss Based Neural Network Ensemble for COVID-19 Detection
Zhi Qiao
Austin Bae
Lucas Glass
Cao Xiao
Jimeng Sun
39
30
0
30 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
19
2
0
27 Oct 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 images
Lucas O. Teixeira
R. M. Pereira
Diego Bertolini
Luiz Eduardo Soares de Oliveira
L. Nanni
George D. C. Cavalcanti
Yandre M. G. Costa
23
114
0
21 Sep 2020
Improving Automated COVID-19 Grading with Convolutional Neural Networks
  in Computed Tomography Scans: An Ablation Study
Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study
Coen de Vente
L. Boulogne
K. V. Venkadesh
Cheryl Sital
Nikolas Lessmann
Colin Jacobs
C. Sánchez
Bram van Ginneken
6
13
0
21 Sep 2020
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT
  Classification
Contrastive Cross-site Learning with Redesigned Net for COVID-19 CT Classification
Zhao Wang
Quande Liu
Qi Dou
OOD
24
162
0
15 Sep 2020
Automated Detection and Forecasting of COVID-19 using Deep Learning
  Techniques: A Review
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review
A. Shoeibi
Marjane Khodatars
M. Jafari
Navid Ghassemi
Delaram Sadeghi
...
Z. Sani
F. Khozeimeh
S. Nahavandi
U. Acharya
Juan M Gorriz
51
178
0
16 Jul 2020
Blockchain-Federated-Learning and Deep Learning Models for COVID-19
  detection using CT Imaging
Blockchain-Federated-Learning and Deep Learning Models for COVID-19 detection using CT Imaging
R. Kumar
A. Khan
Sinmin Zhang
Jay Kumar
Wenyong Wang
Yousif Abuidris
Zakria
Waqas Amin
Sidra Shafiq
WenYong Wang
OOD
FedML
31
325
0
10 Jul 2020
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images
Delong Chen
Shunhui Ji
Fan Liu
Zewen Li
Xinyu Zhou
MedIm
32
11
0
09 Jun 2020
Learning Diagnosis of COVID-19 from a Single Radiological Image
Learning Diagnosis of COVID-19 from a Single Radiological Image
Pengyi Zhang
Yunxin Zhong
Xiaoying Tang
Yu-Cheng Deng
Xiaoqiong Li
MedIm
17
8
0
06 Jun 2020
Joint Prediction and Time Estimation of COVID-19 Developing Severe
  Symptoms using Chest CT Scan
Joint Prediction and Time Estimation of COVID-19 Developing Severe Symptoms using Chest CT Scan
Xiaofeng Zhu
Bin Song
F. Shi
Yanbo Chen
Rongyao Hu
...
Man Li
Liye Wang
Yaozong Gao
F. Shan
Dinggang Shen
33
62
0
07 May 2020
Hypergraph Learning for Identification of COVID-19 with CT Imaging
Hypergraph Learning for Identification of COVID-19 with CT Imaging
Donglin Di
F. Shi
Fuhua Yan
L. Xia
Zhanhao Mo
...
Miaofei Han
Yaozong Gao
H. Sui
Yue Gao
Dinggang Shen
OOD
32
67
0
07 May 2020
Lung Infection Quantification of COVID-19 in CT Images with Deep
  Learning
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
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed
  Visual Recognition
BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition
Boyan Zhou
Quan Cui
Xiu-Shen Wei
Zhao-Min Chen
253
783
0
05 Dec 2019
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