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ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on
  Weakly-Supervised Classification and Localization of Common Thorax Diseases
v1v2v3v4v5 (latest)

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

5 May 2017
Xiaosong Wang
Yifan Peng
Le Lu
Zhiyong Lu
M. Bagheri
Ronald M. Summers
    LM&MA
ArXiv (abs)PDFHTML

Papers citing "ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases"

50 / 393 papers shown
Title
REFLACX, a dataset of reports and eye-tracking data for localization of
  abnormalities in chest x-rays
REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays
Ricardo Bigolin Lanfredi
Mingyuan Zhang
W. Auffermann
Jessica Chan
Phuong-Anh T. Duong
Vivek Srikumar
Trafton Drew
Joyce D. Schroeder
Tolga Tasdizen
53
40
0
29 Sep 2021
Auditing AI models for Verified Deployment under Semantic Specifications
Auditing AI models for Verified Deployment under Semantic Specifications
Homanga Bharadhwaj
De-An Huang
Chaowei Xiao
Anima Anandkumar
Animesh Garg
MLAU
100
6
0
25 Sep 2021
Classification of COVID-19 from CXR Images in a 15-class Scenario: an
  Attempt to Avoid Bias in the System
Classification of COVID-19 from CXR Images in a 15-class Scenario: an Attempt to Avoid Bias in the System
C. Bose
Anirvan Basu
90
0
0
25 Sep 2021
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Label-Assemble: Leveraging Multiple Datasets with Partial Labels
Mintong Kang
Bowen Li
Zengle Zhu
Yongyi Lu
Elliot K. Fishman
Alan Yuille
Zongwei Zhou
94
18
0
25 Sep 2021
Improving Joint Learning of Chest X-Ray and Radiology Report by Word
  Region Alignment
Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment
Zhanghexuan Ji
Mohammad Abuzar Shaikh
Dana Moukheiber
S. Srihari
Yifan Peng
Mingchen Gao
SSL
92
21
0
04 Sep 2021
Automated detection of COVID-19 cases from chest X-ray images using deep
  neural network and XGBoost
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost
H. Nasiri
Sharif Hasani
87
75
0
03 Sep 2021
Pulmonary Disease Classification Using Globally Correlated Maximum
  Likelihood: an Auxiliary Attention mechanism for Convolutional Neural
  Networks
Pulmonary Disease Classification Using Globally Correlated Maximum Likelihood: an Auxiliary Attention mechanism for Convolutional Neural Networks
E. Verenich
Tobias Martin
Alvaro Velasquez
Nazar Khan
Faraz Hussain
70
3
0
01 Sep 2021
Unsupervised Local Discrimination for Medical Images
Unsupervised Local Discrimination for Medical Images
Huai Chen
Renzhen Wang
Xiuying Wang
Jieyu Li
Qu Fang
Hui Li
Jianhao Bai
Qing Peng
Deyu Meng
Lisheng Wang
SSL
60
7
0
21 Aug 2021
Understanding Human Innate Immune System Dependencies using Graph Neural
  Networks
Understanding Human Innate Immune System Dependencies using Graph Neural Networks
Shagufta Henna
GNNAI4CE
57
0
0
05 Aug 2021
A Systematic Collection of Medical Image Datasets for Deep Learning
A Systematic Collection of Medical Image Datasets for Deep Learning
Johann Li
Guangming Zhu
Cong Hua
Mingtao Feng
Basheer Bennamoun
...
Xu Xu
Lin Mei
Liang Zhang
Syed Afaq Ali Shah
Bennamoun
OOD
109
54
0
24 Jun 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with
  Unlabeled Data
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data
Ashraful Islam
Chun-Fu Chen
Yikang Shen
Leonid Karlinsky
Rogerio Feris
Richard J. Radke
133
85
0
14 Jun 2021
RegionViT: Regional-to-Local Attention for Vision Transformers
RegionViT: Regional-to-Local Attention for Vision Transformers
Chun-Fu Chen
Yikang Shen
Quanfu Fan
ViT
148
200
0
04 Jun 2021
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep
  Kernel Learning
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning
Zhiliang Wu
Yinchong Yang
Jindong Gu
Volker Tresp
UQCVMedIm
48
9
0
01 Jun 2021
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and
  Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images
Effect of Pre-Training Scale on Intra- and Inter-Domain Full and Few-Shot Transfer Learning for Natural and Medical X-Ray Chest Images
Mehdi Cherti
J. Jitsev
LM&MA
98
24
0
31 May 2021
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past,
  Present and Future
Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
David Ahmedt-Aristizabal
M. Armin
Simon Denman
Clinton Fookes
L. Petersson
87
190
0
27 May 2021
Weighing Features of Lung and Heart Regions for Thoracic Disease
  Classification
Weighing Features of Lung and Heart Regions for Thoracic Disease Classification
Jiansheng Fang
Yanwu Xu
Yitian Zhao
Yuguang Yan
Junling Liu
Jiang-Dong Liu
54
9
0
26 May 2021
A Frequency Domain Constraint for Synthetic and Real X-ray Image Super
  Resolution
A Frequency Domain Constraint for Synthetic and Real X-ray Image Super Resolution
Qing Ma
Jae Chul Koh
WonSook Lee
OOD
37
3
0
14 May 2021
Towards Good Practices for Efficiently Annotating Large-Scale Image
  Classification Datasets
Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets
Yuan-Hong Liao
Amlan Kar
Sanja Fidler
VLM
92
29
0
26 Apr 2021
A Structure-Aware Relation Network for Thoracic Diseases Detection and
  Segmentation
A Structure-Aware Relation Network for Thoracic Diseases Detection and Segmentation
Jie Lian
Jingyun Liu
Shu Zhen Zhang
Kai Gao
Xiaoqing Liu
Dingwen Zhang
Yizhou Yu
87
43
0
21 Apr 2021
COVID-19 Modeling: A Review
COVID-19 Modeling: A Review
LongBing Cao
Qing Liu
96
45
0
16 Apr 2021
Interpretability-Driven Sample Selection Using Self Supervised Learning
  For Disease Classification And Segmentation
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation
Dwarikanath Mahapatra
85
55
0
13 Apr 2021
Semantic Segmentation with Generative Models: Semi-Supervised Learning
  and Strong Out-of-Domain Generalization
Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization
Daiqing Li
Junlin Yang
Karsten Kreis
Antonio Torralba
Sanja Fidler
GANMedIm
110
187
0
12 Apr 2021
Robust Classification from Noisy Labels: Integrating Additional
  Knowledge for Chest Radiography Abnormality Assessment
Robust Classification from Noisy Labels: Integrating Additional Knowledge for Chest Radiography Abnormality Assessment
Sebastian Gündel
A. Setio
Florin-Cristian Ghesu
Sasa Grbic
Bogdan Georgescu
Andreas Maier
Dorin Comaniciu
NoLa
70
28
0
12 Apr 2021
OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays
OXnet: Omni-supervised Thoracic Disease Detection from Chest X-rays
Luyang Luo
Hao Chen
Yanning Zhou
Huangjing Lin
Pheng-Ann Pheng
52
8
0
07 Apr 2021
Towards Semantic Interpretation of Thoracic Disease and COVID-19
  Diagnosis Models
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models
Ashkan Khakzar
Sabrina Musatian
Jonas Buchberger
Icxel Valeriano Quiroz
Nikolaus Pinger
Soroosh Baselizadeh
Seong Tae Kim
Nassir Navab
83
13
0
04 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning
Modular Adaptation for Cross-Domain Few-Shot Learning
Xiaoyu Lin
Meng Ye
Yunye Gong
G. Buracas
Nikoletta Basiou
Ajay Divakaran
Yi Yao
113
4
0
01 Apr 2021
Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays
Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays
Xiaosong Wang
Ziyue Xu
Leo K. Tam
Dong Yang
Daguang Xu
ViTMedIm
68
24
0
30 Mar 2021
An Empirical Framework for Domain Generalization in Clinical Settings
An Empirical Framework for Domain Generalization in Clinical Settings
Haoran Zhang
Natalie Dullerud
Laleh Seyyed-Kalantari
Q. Morris
Shalmali Joshi
Marzyeh Ghassemi
OODAI4CE
125
61
0
20 Mar 2021
XProtoNet: Diagnosis in Chest Radiography with Global and Local
  Explanations
XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations
Eunji Kim
Siwon Kim
Minji Seo
Sungroh Yoon
ViTFAtt
74
116
0
19 Mar 2021
A survey of deep neural network watermarking techniques
A survey of deep neural network watermarking techniques
Yue Li
Hongxia Wang
Mauro Barni
127
148
0
16 Mar 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
125
446
0
14 Mar 2021
Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature
  Corpus
Vision Transformer for COVID-19 CXR Diagnosis using Chest X-ray Feature Corpus
Sangjoon Park
Gwanghyun Kim
Y. Oh
J. Seo
Sang Min Lee
Jin Hwan Kim
Sungjun Moon
Jae-Kwang Lim
J. C. Ye
ViTMedIm
90
34
0
12 Mar 2021
Deep Model Intellectual Property Protection via Deep Watermarking
Deep Model Intellectual Property Protection via Deep Watermarking
Jie Zhang
Dongdong Chen
Jing Liao
Weiming Zhang
Huamin Feng
G. Hua
Nenghai Yu
121
107
0
08 Mar 2021
Self-supervised Mean Teacher for Semi-supervised Chest X-ray
  Classification
Self-supervised Mean Teacher for Semi-supervised Chest X-ray Classification
Fengbei Liu
Yu Tian
F. Cordeiro
Vasileios Belagiannis
Ian Reid
G. Carneiro
75
44
0
05 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OODAI4CE
268
1,035
0
03 Mar 2021
Have We Learned to Explain?: How Interpretability Methods Can Learn to
  Encode Predictions in their Interpretations
Have We Learned to Explain?: How Interpretability Methods Can Learn to Encode Predictions in their Interpretations
N. Jethani
Mukund Sudarshan
Yindalon Aphinyanagphongs
Rajesh Ranganath
FAtt
166
72
0
02 Mar 2021
Improving Medical Image Classification with Label Noise Using
  Dual-uncertainty Estimation
Improving Medical Image Classification with Label Noise Using Dual-uncertainty Estimation
Lie Ju
Xin Eric Wang
Lin Wang
Dwarikanath Mahapatra
Xin Zhao
Mehrtash Harandi
Tom Drummond
Tongliang Liu
Z. Ge
NoLaOOD
97
23
0
28 Feb 2021
Conditional Image Generation by Conditioning Variational Auto-Encoders
Conditional Image Generation by Conditioning Variational Auto-Encoders
William Harvey
Saeid Naderiparizi
Frank Wood
BDLDRL
61
25
0
24 Feb 2021
Transferable Visual Words: Exploiting the Semantics of Anatomical
  Patterns for Self-supervised Learning
Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-supervised Learning
F. Haghighi
M. Taher
Zongwei Zhou
Michael B. Gotway
Jianming Liang
MedIm
95
107
0
21 Feb 2021
Domain Adaptation for Medical Image Analysis: A Survey
Domain Adaptation for Medical Image Analysis: A Survey
Hao Guan
Mingxia Liu
OOD
147
563
0
18 Feb 2021
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to
  Counterfactual Generation for Chest X-rays
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays
Joseph Paul Cohen
Rupert Brooks
Sovann En
Evan Zucker
Anuj Pareek
M. Lungren
Akshay S. Chaudhari
FAttMedIm
85
4
0
18 Feb 2021
Boosting Deep Transfer Learning for COVID-19 Classification
Boosting Deep Transfer Learning for COVID-19 Classification
F. Altaf
Syed Mohammed Shamsul Islam
N. Janjua
Naveed Akhtar
OOD
46
8
0
16 Feb 2021
Key Technology Considerations in Developing and Deploying Machine
  Learning Models in Clinical Radiology Practice
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice
V. Kulkarni
M. Gawali
A. Kharat
VLM
117
21
0
03 Feb 2021
Reliable COVID-19 Detection Using Chest X-ray Images
Reliable COVID-19 Detection Using Chest X-ray Images
A. Degerli
Mete Ahishali
S. Kiranyaz
M. Chowdhury
Moncef Gabbouj
62
8
0
28 Jan 2021
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models
  for Chest X-Ray Interpretation
CheXtransfer: Performance and Parameter Efficiency of ImageNet Models for Chest X-Ray Interpretation
Alexander Ke
William Ellsworth
Oishi Banerjee
A. Ng
Pranav Rajpurkar
MedIm
144
105
0
18 Jan 2021
Supervised Transfer Learning at Scale for Medical Imaging
Supervised Transfer Learning at Scale for Medical Imaging
Basil Mustafa
Aaron Loh
Jan Freyberg
Patricia MacWilliams
Megan Wilson
...
Shruthi Prabhakara
Umesh Telang
Alan Karthikesalingam
N. Houlsby
Vivek Natarajan
LM&MA
161
68
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14 Jan 2021
Big Self-Supervised Models Advance Medical Image Classification
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
...
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
SSL
121
520
0
13 Jan 2021
COVID-19 Prognosis via Self-Supervised Representation Learning and
  Multi-Image Prediction
COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction
Anuroop Sriram
Matthew Muckley
Koustuv Sinha
Farah E. Shamout
Joelle Pineau
Krzysztof J. Geras
Lea Azour
Y. Aphinyanaphongs
N. Yakubova
W. Moore
MedIm
211
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Generative Adversarial U-Net for Domain-free Medical Image Augmentation
Generative Adversarial U-Net for Domain-free Medical Image Augmentation
Xiaocong Chen
Yun Yvonna Li
Lina Yao
Ehsan Adeli
Yu Zhang
GANOODMedIm
84
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12 Jan 2021
Multi-label Ranking: Mining Multi-label and Label Ranking Data
Multi-label Ranking: Mining Multi-label and Label Ranking Data
L. Dery
55
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