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Deep Learning for Chest X-ray Analysis: A Survey

Deep Learning for Chest X-ray Analysis: A Survey

15 March 2021
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
    LM&MA
ArXiv (abs)PDFHTML

Papers citing "Deep Learning for Chest X-ray Analysis: A Survey"

50 / 123 papers shown
Title
Deep Multi Label Classification in Affine Subspaces
Deep Multi Label Classification in Affine Subspaces
T. Kurmann
Pablo Márquez-Neila
Sebastian Wolf
Raphael Sznitman
35
5
0
10 Jul 2019
Automated Detection and Type Classification of Central Venous Catheters
  in Chest X-Rays
Automated Detection and Type Classification of Central Venous Catheters in Chest X-Rays
Vaishnavi Subramanian
Hongzhi Wang
Joy T. Wu
Ken C. L. Wong
Arjun Sharma
Tanveer Syeda-Mahmood
44
20
0
02 Jul 2019
Multi-scale GANs for Memory-efficient Generation of High Resolution
  Medical Images
Multi-scale GANs for Memory-efficient Generation of High Resolution Medical Images
H. Uzunova
J. Ehrhardt
F. Jacob
A. Frydrychowicz
Heinz Handels
MedIm
56
35
0
02 Jul 2019
FRODO: Free rejection of out-of-distribution samples: application to
  chest x-ray analysis
FRODO: Free rejection of out-of-distribution samples: application to chest x-ray analysis
E. Çallı
K. Murphy
Ecem Sogancioglu
Bram van Ginneken
MedImOOD
52
15
0
02 Jul 2019
Image to Images Translation for Multi-Task Organ Segmentation and Bone
  Suppression in Chest X-Ray Radiography
Image to Images Translation for Multi-Task Organ Segmentation and Bone Suppression in Chest X-Ray Radiography
M. Eslami
Solale Tabarestani
Shadi Albarqouni
Ehsan Adeli
Nassir Navab
M. Adjouadi
MedIm
98
77
0
24 Jun 2019
Boosting the rule-out accuracy of deep disease detection using class
  weight modifiers
Boosting the rule-out accuracy of deep disease detection using class weight modifiers
Alexandros Karargyris
Ken C. L. Wong
Joy T. Wu
M. Moradi
Tanveer Syeda-Mahmood
MedIm
31
1
0
21 Jun 2019
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings
  in AP Chest X-rays
Building a Benchmark Dataset and Classifiers for Sentence-Level Findings in AP Chest X-rays
Tanveer Syeda-Mahmood
Hassan M. Ahmad
Nadeem Ansari
Yaniv Gur
Satyananda Kashyap
...
A. Pillai
Karthik Sheshadri
Weiting Wang
Ken C. L. Wong
Joy T. Wu
11
2
0
21 Jun 2019
Quantifying and Leveraging Classification Uncertainty for Chest
  Radiograph Assessment
Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment
Florin-Cristian Ghesu
Bogdan Georgescu
Eli Gibson
Sebastian Gündel
Mannudeep K. Kalra
Ramandeep Singh
S. Digumarthy
Sasa Grbic
Dorin Comaniciu
UQCV
38
46
0
18 Jun 2019
Vispi: Automatic Visual Perception and Interpretation of Chest X-rays
Vispi: Automatic Visual Perception and Interpretation of Chest X-rays
X. Li
Rui Cao
D. Zhu
38
20
0
12 Jun 2019
Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with
  Application to TB Detection on a Small-Scale Dataset
Deep Feature Learning from a Hospital-Scale Chest X-ray Dataset with Application to TB Detection on a Small-Scale Dataset
Ophir Gozes
H. Greenspan
LM&MA
34
30
0
03 Jun 2019
Learning Interpretable Features via Adversarially Robust Optimization
Learning Interpretable Features via Adversarially Robust Optimization
Ashkan Khakzar
Shadi Albarqouni
Nassir Navab
MedImFAtt
43
14
0
09 May 2019
Adaptive Image-Feature Learning for Disease Classification Using
  Inductive Graph Networks
Adaptive Image-Feature Learning for Disease Classification Using Inductive Graph Networks
Hendrik Burwinkel
Anees Kazi
G. Vivar
Shadi Albarqouni
G. Zahnd
Nassir Navab
Seyed-Ahmad Ahmadi
AI4CE
65
15
0
08 May 2019
Caveats in Generating Medical Imaging Labels from Radiology Reports
Caveats in Generating Medical Imaging Labels from Radiology Reports
Tobi Olatunji
L. Yao
Ben Covington
Alexander Rhodes
Anthony Upton
MedIm
35
18
0
06 May 2019
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using
  Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation
Youbao Tang
Yuxing Tang
Jing Xiao
Ronald M. Summers
56
119
0
19 Apr 2019
Do Lateral Views Help Automated Chest X-ray Predictions?
Do Lateral Views Help Automated Chest X-ray Predictions?
H. Bertrand
Mohammad Hashir
Joseph Paul Cohen
MedIm
59
16
0
17 Apr 2019
Improved Inference via Deep Input Transfer
Improved Inference via Deep Input Transfer
Saeid Asgari Taghanaki
Kumar Abhishek
Ghassan Hamarneh
SSeg
57
7
0
04 Apr 2019
Identifying disease-free chest X-ray images with deep transfer learning
Identifying disease-free chest X-ray images with deep transfer learning
Ken C. L. Wong
Mehdi Moradi
Joy T. Wu
Tanveer Syeda-Mahmood
MedIm
25
20
0
02 Apr 2019
A Strong Baseline for Domain Adaptation and Generalization in Medical
  Imaging
A Strong Baseline for Domain Adaptation and Generalization in Medical Imaging
L. Yao
Jordan Prosky
Ben Covington
Kevin Lyman
OODLM&MAMedImAI4CE
46
39
0
02 Apr 2019
InfoMask: Masked Variational Latent Representation to Localize Chest
  Disease
InfoMask: Masked Variational Latent Representation to Localize Chest Disease
Saeid Asgari Taghanaki
Mohammad Havaei
T. Berthier
Francis Dutil
Lisa Di-Jorio
Ghassan Hamarneh
Yoshua Bengio
91
42
0
28 Mar 2019
Age prediction using a large chest X-ray dataset
Age prediction using a large chest X-ray dataset
Alexandros Karargyris
Satyananda Kashyap
Joy T. Wu
Arjun Sharma
Mehdi Moradi
Tanveer Syeda-Mahmood
32
36
0
09 Mar 2019
Computer aided detection of tuberculosis on chest radiographs: An
  evaluation of the CAD4TB v6 system
Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system
K. Murphy
S. Habib
S. M. Zaidi
S. Khowaja
A. Khan
...
S. Schalekamp
Maurits Verhagen
R. Philipsen
Annet Meijers
Bram van Ginneken
39
137
0
08 Mar 2019
Abnormal Chest X-ray Identification With Generative Adversarial
  One-Class Classifier
Abnormal Chest X-ray Identification With Generative Adversarial One-Class Classifier
Yuxing Tang
Youbao Tang
Mei Han
Jing Xiao
Ronald M. Summers
MedImGAN
52
63
0
05 Mar 2019
PadChest: A large chest x-ray image dataset with multi-label annotated
  reports
PadChest: A large chest x-ray image dataset with multi-label annotated reports
A. Bustos
A. Pertusa
J. M. Salinas
M. Iglesia-Vayá
LM&MA
69
613
0
22 Jan 2019
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
...
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
112
2,595
0
21 Jan 2019
Truly Generalizable Radiograph Segmentation with Conditional Domain
  Adaptation
Truly Generalizable Radiograph Segmentation with Conditional Domain Adaptation
Hugo Oliveira
E. Ferreira
J. A. dos Santos
MedIm
61
14
0
16 Jan 2019
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease
  Classification in Chest X-ray Images
SDFN: Segmentation-based Deep Fusion Network for Thoracic Disease Classification in Chest X-ray Images
Han Liu
Lei Wang
Y. Nan
F. Jin
Qi Wang
J. Pu
169
94
0
30 Oct 2018
When does Bone Suppression and Lung Field Segmentation Improve Chest
  X-Ray Disease Classification?
When does Bone Suppression and Lung Field Segmentation Improve Chest X-Ray Disease Classification?
Ivo M. Baltruschat
Leonhard Steinmeister
H. Ittrich
G. Adam
H. Nickisch
A. Saalbach
J. V. Berg
M. Grass
T. Knopp
32
22
0
17 Oct 2018
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data:
  A Feasibility Study on Brain Tumor Segmentation
Multi-Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation
Micah J. Sheller
G. A. Reina
Brandon Edwards
Jason Martin
Spyridon Bakas
FedML
66
467
0
10 Oct 2018
Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest
  X-ray Images
Deep Generative Classifiers for Thoracic Disease Diagnosis with Chest X-ray Images
Chengsheng Mao
Yiheng Pan
Zexian Zeng
Liang Yao
Yuan Luo
MedIm
36
32
0
20 Sep 2018
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GANMedIm
96
1,392
0
19 Sep 2018
Bimodal network architectures for automatic generation of image
  annotation from text
Bimodal network architectures for automatic generation of image annotation from text
Mehdi Moradi
Ali Madani
Yaniv Gur
Yufan Guo
Tanveer Syeda-Mahmood
41
20
0
05 Sep 2018
Object Detection with Deep Learning: A Review
Object Detection with Deep Learning: A Review
Zhong-Qiu Zhao
Peng Zheng
Shou-tao Xu
Xindong Wu
ObjD
110
4,012
0
15 Jul 2018
A Generic Approach to Lung Field Segmentation from Chest Radiographs
  using Deep Space and Shape Learning
A Generic Approach to Lung Field Segmentation from Chest Radiographs using Deep Space and Shape Learning
Awais Mansoor
Juan J. Cerrolaza
Geovanny F. Perez
E. Biggs
K. Okada
G. Nino
M. Linguraru
33
26
0
11 Jul 2018
Unsupervised Domain Adaptation for Automatic Estimation of
  Cardiothoracic Ratio
Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio
Nanqing Dong
Michael C. Kampffmeyer
Xiaodan Liang
Zeya Wang
Wei-Ming Dai
Eric Xing
OOD
48
85
0
10 Jul 2018
Iterative Attention Mining for Weakly Supervised Thoracic Disease
  Pattern Localization in Chest X-Rays
Iterative Attention Mining for Weakly Supervised Thoracic Disease Pattern Localization in Chest X-Rays
Jinzheng Cai
Le Lu
Adam P. Harrison
Xiaoshuang Shi
Pingjun Chen
Ling Yang
62
54
0
03 Jul 2018
Confounding variables can degrade generalization performance of
  radiological deep learning models
Confounding variables can degrade generalization performance of radiological deep learning models
J. Zech
Marcus A. Badgeley
Manway Liu
A. Costa
J. Titano
Eric K. Oermann
OOD
85
1,176
0
02 Jul 2018
Task Driven Generative Modeling for Unsupervised Domain Adaptation:
  Application to X-ray Image Segmentation
Task Driven Generative Modeling for Unsupervised Domain Adaptation: Application to X-ray Image Segmentation
Yue Zhang
S. Miao
Tommaso Mansi
Rui Liao
MedIm
53
206
0
11 Jun 2018
TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest
  X-rays
TextRay: Mining Clinical Reports to Gain a Broad Understanding of Chest X-rays
Jonathan Laserson
C. D. Lantsman
Michal Cohen-Sfady
Itamar Tamir
Eli Goz
C. Brestel
Shir Bar
Maya Atar
E. Elnekave
LM&MAMedIm
42
36
0
06 Jun 2018
CFCM: Segmentation via Coarse to Fine Context Memory
CFCM: Segmentation via Coarse to Fine Context Memory
Fausto Milletari
Nicola Rieke
Maximilian Baust
M. Esposito
Nassir Navab
63
48
0
04 Jun 2018
Automatic catheter detection in pediatric X-ray images using a
  scale-recurrent network and synthetic data
Automatic catheter detection in pediatric X-ray images using a scale-recurrent network and synthetic data
Xin Yi
S. Adams
P. Babyn
Abdul Elnajmi
MedIm
37
42
0
04 Jun 2018
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain
  Adaptation in Chest X-ray Segmentation
Semantic-Aware Generative Adversarial Nets for Unsupervised Domain Adaptation in Chest X-ray Segmentation
Cheng Chen
Qi Dou
Hao Chen
Pheng-Ann Heng
OODGANMedIm
51
161
0
02 Jun 2018
Keep and Learn: Continual Learning by Constraining the Latent Space for
  Knowledge Preservation in Neural Networks
Keep and Learn: Continual Learning by Constraining the Latent Space for Knowledge Preservation in Neural Networks
Hyo-Eun Kim
Seungwook Kim
Jaehwan Lee
CLL
43
31
0
28 May 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
133
2,482
0
12 Apr 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
126
21,447
0
08 Apr 2018
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray
  Classification
Comparison of Deep Learning Approaches for Multi-Label Chest X-Ray Classification
Ivo M. Baltruschat
H. Nickisch
M. Grass
T. Knopp
A. Saalbach
72
384
0
06 Mar 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
73
2,013
0
10 Feb 2018
Learning to detect chest radiographs containing lung nodules using
  visual attention networks
Learning to detect chest radiographs containing lung nodules using visual attention networks
E. Pesce
P. Ypsilantis
S. Withey
R. Bakewell
Vicky Goh
Giovanni Montana
54
106
0
04 Dec 2017
Progressive Growing of GANs for Improved Quality, Stability, and
  Variation
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras
Timo Aila
S. Laine
J. Lehtinen
GAN
137
7,361
0
27 Oct 2017
Object Region Mining with Adversarial Erasing: A Simple Classification
  to Semantic Segmentation Approach
Object Region Mining with Adversarial Erasing: A Simple Classification to Semantic Segmentation Approach
Yunchao Wei
Jiashi Feng
Xiaodan Liang
Ming-Ming Cheng
Yao-Min Zhao
Shuicheng Yan
81
809
0
24 Mar 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
352
27,195
0
20 Mar 2017
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