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CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and
  Expert Comparison

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

21 January 2019
Jeremy Irvin
Pranav Rajpurkar
M. Ko
Yifan Yu
Silviana Ciurea-Ilcus
Chris Chute
Henrik Marklund
Behzad Haghgoo
Robyn L. Ball
K. Shpanskaya
J. Seekins
D. Mong
S. Halabi
J. Sandberg
Ricky Jones
D. Larson
C. Langlotz
Bhavik Patel
M. Lungren
A. Ng
ArXiv (abs)PDFHTML

Papers citing "CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison"

50 / 1,131 papers shown
Title
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment
  response assessment between longitudinal FDG PET/CT examinations
OncoNet: Weakly Supervised Siamese Network to automate cancer treatment response assessment between longitudinal FDG PET/CT examinations
Anirudh Joshi
Sabri Eyuboglu
Shih-Cheng Huang
Jared A. Dunnmon
Arjun Soin
G. Davidzon
Akshay S. Chaudhari
M. Lungren
23
3
0
03 Aug 2021
Chest ImaGenome Dataset for Clinical Reasoning
Chest ImaGenome Dataset for Clinical Reasoning
Joy T. Wu
Nkechinyere N. Agu
Ismini Lourentzou
Arjun Sharma
J. Paguio
...
William Mitchell
Satyananda Kashyap
Andrea Giovannini
Leo Anthony Celi
Mehdi Moradi
58
67
0
31 Jul 2021
Reading Race: AI Recognises Patient's Racial Identity In Medical Images
Reading Race: AI Recognises Patient's Racial Identity In Medical Images
Imon Banerjee
A. Bhimireddy
J. L. Burns
Leo Anthony Celi
Li-Ching Chen
...
Hari M. Trivedi
Ryan Wang
Z. Zaiman
Haoran Zhang
J. Gichoya
89
341
0
21 Jul 2021
Multi-institution encrypted medical imaging AI validation without data
  sharing
Multi-institution encrypted medical imaging AI validation without data sharing
Arjun Soin
Pratik Bhatu
R. Takhar
Nishanth Chandran
Divya Gupta
Javier Alvarez-Valle
Rahul Sharma
V. Mahajan
M. Lungren
MedIm
57
4
0
21 Jul 2021
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label
  Uncertainties (Technical Report)
CHEF: A Cheap and Fast Pipeline for Iteratively Cleaning Label Uncertainties (Technical Report)
Yinjun Wu
James Weimer
S. Davidson
72
4
0
19 Jul 2021
Variational Topic Inference for Chest X-Ray Report Generation
Variational Topic Inference for Chest X-Ray Report Generation
Ivona Najdenkoska
Xiantong Zhen
M. Worring
Ling Shao
MedIm
88
29
0
15 Jul 2021
Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs
Shruthi Bannur
Ozan Oktay
Mélanie Bernhardt
Anton Schwaighofer
R. Jena
...
A. Nori
K. Natarajan
S. Ashraf
Javier Alvarez-Valle
Daniel Coelho De Castro
16
0
0
14 Jul 2021
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease
  Localization in X-ray Images
GREN: Graph-Regularized Embedding Network for Weakly-Supervised Disease Localization in X-ray Images
Baolian Qi
Gangming Zhao
Xin Wei
Chaowei Fang
Changzai Pan
Huiguang He
Jinpeng Li
109
12
0
14 Jul 2021
Using Causal Analysis for Conceptual Deep Learning Explanation
Using Causal Analysis for Conceptual Deep Learning Explanation
Sumedha Singla
Stephen Wallace
Sofia Triantafillou
Kayhan Batmanghelich
CML
53
15
0
10 Jul 2021
Neural Natural Language Processing for Unstructured Data in Electronic
  Health Records: a Review
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
Irene Li
Jessica Pan
Jeremy Goldwasser
Neha Verma
Wai Pan Wong
...
Matthew Zhang
David Chang
R. Taylor
H. Krumholz
Dragomir R. Radev
BDL
84
159
0
07 Jul 2021
GAN-based Data Augmentation for Chest X-ray Classification
GAN-based Data Augmentation for Chest X-ray Classification
Shobhita Sundaram
Neha Hulkund
MedIm
75
36
0
07 Jul 2021
Confidence-based Out-of-Distribution Detection: A Comparative Study and
  Analysis
Confidence-based Out-of-Distribution Detection: A Comparative Study and Analysis
Christoph Berger
Magdalini Paschali
Ben Glocker
Konstantinos Kamnitsas
OOD
111
45
0
06 Jul 2021
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting
RATCHET: Medical Transformer for Chest X-ray Diagnosis and Reporting
Benjamin Hou
Georgios Kaissis
Ronald M. Summers
Bernhard Kainz
ViTLM&MAMedIm
83
51
0
05 Jul 2021
Out-of-distribution Generalization in the Presence of Nuisance-Induced
  Spurious Correlations
Out-of-distribution Generalization in the Presence of Nuisance-Induced Spurious Correlations
A. Puli
Lily H. Zhang
Eric K. Oermann
Rajesh Ranganath
OODOODD
85
49
0
29 Jun 2021
Contrastive Counterfactual Visual Explanations With Overdetermination
Contrastive Counterfactual Visual Explanations With Overdetermination
Adam White
K. Ngan
James Phelan
Saman Sadeghi Afgeh
Kevin Ryan
C. Reyes-Aldasoro
Artur Garcez
53
8
0
28 Jun 2021
RadGraph: Extracting Clinical Entities and Relations from Radiology
  Reports
RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
Saahil Jain
Ashwin Agrawal
A. Saporta
Steven QH Truong
D. Duong
...
Yuhao Zhang
M. Lungren
A. Ng
C. Langlotz
Pranav Rajpurkar
MedIm
104
214
0
28 Jun 2021
Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
Rail-5k: a Real-World Dataset for Rail Surface Defects Detection
Zihao Zhang
Shaozuo Yu
Siwei Yang
Yu Zhou
Bingchen Zhao
85
11
0
28 Jun 2021
On the Robustness of Pretraining and Self-Supervision for a Deep
  Learning-based Analysis of Diabetic Retinopathy
On the Robustness of Pretraining and Self-Supervision for a Deep Learning-based Analysis of Diabetic Retinopathy
Vignesh Srinivasan
Nils Strodthoff
Jackie Ma
Alexander Binder
Klaus-Robert Muller
Wojciech Samek
OOD
78
6
0
25 Jun 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
Meaningfully Debugging Model Mistakes using Conceptual Counterfactual
  Explanations
Meaningfully Debugging Model Mistakes using Conceptual Counterfactual Explanations
Abubakar Abid
Mert Yuksekgonul
James Zou
CML
115
64
0
24 Jun 2021
Contrastive Attention for Automatic Chest X-ray Report Generation
Contrastive Attention for Automatic Chest X-ray Report Generation
Fenglin Liu
Changchang Yin
Xian Wu
Shen Ge
Yuexian Zou
Ping Zhang
Yuexian Zou
Xu Sun
MedIm
128
152
0
13 Jun 2021
Exploring and Distilling Posterior and Prior Knowledge for Radiology
  Report Generation
Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation
Fenglin Liu
Xian Wu
Shen Ge
Wei Fan
Yuexian Zou
MedIm
105
260
0
13 Jun 2021
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic
  Disease Classification in Chest X-rays
Anatomy-XNet: An Anatomy Aware Convolutional Neural Network for Thoracic Disease Classification in Chest X-rays
Uday Kamal
Mohammad Zunaed
N. Nizam
Taufiq Hasan
63
28
0
10 Jun 2021
Explainable AI, but explainable to whom?
Explainable AI, but explainable to whom?
Julie Gerlings
Millie Søndergaard Jensen
Arisa Shollo
71
43
0
10 Jun 2021
Probing transfer learning with a model of synthetic correlated datasets
Probing transfer learning with a model of synthetic correlated datasets
Federica Gerace
Luca Saglietti
Stefano Sarao Mannelli
Andrew M. Saxe
Lenka Zdeborová
OOD
56
32
0
09 Jun 2021
Rethinking Transfer Learning for Medical Image Classification
Rethinking Transfer Learning for Medical Image Classification
Le Peng
Hengyue Liang
Gaoxiang Luo
Taihui Li
Ju Sun
VLMLM&MA
54
6
0
09 Jun 2021
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for
  Public Training
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training
Adam Yala
H. Esfahanizadeh
Rafael G. L. DÓliveira
K. Duffy
M. Ghobadi
Tommi Jaakkola
Vinod Vaikuntanathan
Regina Barzilay
Muriel Médard
OODFedML
65
22
0
04 Jun 2021
Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey
Tips and Tricks to Improve CNN-based Chest X-ray Diagnosis: A Survey
Changhee Han
Takayuki Okamoto
Koichi Takeuchi
Dimitris Katsios
Andrey Grushnikov
Masaaki Kobayashi
Antoine Choppin
Yuta Kurashina
Yuki Shimahara
32
2
0
02 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
94
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
189
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
Multi-modal Understanding and Generation for Medical Images and Text via
  Vision-Language Pre-Training
Multi-modal Understanding and Generation for Medical Images and Text via Vision-Language Pre-Training
Jong Hak Moon
HyunGyung Lee
W. Shin
Young-Hak Kim
Edward Choi
MedIm
110
161
0
24 May 2021
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray
AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-ray
Nkechinyere N. Agu
Joy T. Wu
Hanqing Chao
Ismini Lourentzou
Arjun Sharma
Mehdi Moradi
Pingkun Yan
James A. Hendler
51
34
0
20 May 2021
A Case Study on Pros and Cons of Regular Expression Detection and
  Dependency Parsing for Negation Extraction from German Medical Documents.
  Technical Report
A Case Study on Pros and Cons of Regular Expression Detection and Dependency Parsing for Negation Extraction from German Medical Documents. Technical Report
H. Profitlich
Daniel Sonntag
MedIm
24
3
0
20 May 2021
Real-Time COVID-19 Diagnosis from X-Ray Images Using Deep CNN and
  Extreme Learning Machines Stabilized by Chimp Optimization Algorithm
Real-Time COVID-19 Diagnosis from X-Ray Images Using Deep CNN and Extreme Learning Machines Stabilized by Chimp Optimization Algorithm
Hu Tianqing
M. Khishe
M. Mohammadi
G. Parvizi
S. H. Karim
Tarik Ahmed Rashid
29
125
0
14 May 2021
Evolving Deep Convolutional Neural Network by Hybrid Sine-Cosine and
  Extreme Learning Machine for Real-time COVID19 Diagnosis from X-Ray Images
Evolving Deep Convolutional Neural Network by Hybrid Sine-Cosine and Extreme Learning Machine for Real-time COVID19 Diagnosis from X-Ray Images
Wu Chao
M. Khishe
M. Mohammadi
S. H. Karim
Tarik Ahmed Rashid
58
53
0
14 May 2021
Agree to Disagree: When Deep Learning Models With Identical
  Architectures Produce Distinct Explanations
Agree to Disagree: When Deep Learning Models With Identical Architectures Produce Distinct Explanations
Matthew Watson
Bashar Awwad Shiekh Hasan
Noura Al Moubayed
OOD
54
23
0
14 May 2021
Causally motivated Shortcut Removal Using Auxiliary Labels
Causally motivated Shortcut Removal Using Auxiliary Labels
Maggie Makar
Ben Packer
D. Moldovan
Davis W. Blalock
Yoni Halpern
Alexander DÁmour
OODCML
74
75
0
13 May 2021
Structured dataset documentation: a datasheet for CheXpert
Structured dataset documentation: a datasheet for CheXpert
Christian Garbin
Pranav Rajpurkar
Jeremy Irvin
M. Lungren
Oge Marques
56
16
0
07 May 2021
Automated Primary Hyperparathyroidism Screening with Neural Networks
Automated Primary Hyperparathyroidism Screening with Neural Networks
Noah Ziems
Shaoen Wu
J. Norman
11
1
0
06 May 2021
Image Embedding and Model Ensembling for Automated Chest X-Ray
  Interpretation
Image Embedding and Model Ensembling for Automated Chest X-Ray Interpretation
E. Giacomello
P. Lanzi
Daniele Loiacono
Luca Nassano
29
5
0
05 May 2021
Attack-agnostic Adversarial Detection on Medical Data Using Explainable
  Machine Learning
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning
Matthew Watson
Noura Al Moubayed
AAMLMedIm
43
22
0
05 May 2021
Leveraging Deep Representations of Radiology Reports in Survival
  Analysis for Predicting Heart Failure Patient Mortality
Leveraging Deep Representations of Radiology Reports in Survival Analysis for Predicting Heart Failure Patient Mortality
Hyungchul Lee
E. Sholle
Ashley N. Beecy
S. Al’Aref
Yifan Peng
98
8
0
03 May 2021
Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning
  from Noisy Annotations
Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations
Sina Famouri
Lia Morra
Leonardo Mangia
Fabrizio Lamberti
25
6
0
25 Apr 2021
Rethinking Annotation Granularity for Overcoming Shortcuts in Deep
  Learning-based Radiograph Diagnosis: A Multicenter Study
Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study
Luyang Luo
Hao Chen
Yongjie Xiao
Yanning Zhou
Xi Wang
...
Zaiyi Liu
X. B. Fang
E. Tsougenis
Huangjing Lin
Pheng-Ann Heng
81
6
0
21 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
82
43
0
21 Apr 2021
Vision Transformer using Low-level Chest X-ray Feature Corpus for
  COVID-19 Diagnosis and Severity Quantification
Vision Transformer using Low-level Chest X-ray Feature Corpus for COVID-19 Diagnosis and Severity Quantification
Sangjoon Park
Gwanghyun Kim
Y. Oh
J. Seo
Sang Min Lee
Jin Hwan Kim
Sungjun Moon
Jae-Kwang Lim
Jong Chul Ye
ViTMedIm
110
97
0
15 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
82
55
0
13 Apr 2021
What's in a Summary? Laying the Groundwork for Advances in
  Hospital-Course Summarization
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization
Griffin Adams
Emily Alsentzer
Mert Ketenci
Jason Zucker
Noémie Elhadad
92
49
0
12 Apr 2021
COVID-19 detection using chest X-rays: is lung segmentation important
  for generalization?
COVID-19 detection using chest X-rays: is lung segmentation important for generalization?
P. R. Bassi
R. Attux
61
11
0
12 Apr 2021
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