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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
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning
  in Medical Imaging
CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging
M. Taher
F. Haghighi
Michael B. Gotway
Jianming Liang
OODSSL
61
31
0
15 Apr 2022
Multimodal spatiotemporal graph neural networks for improved prediction
  of 30-day all-cause hospital readmission
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission
Siyi Tang
Amara Tariq
Jared A. Dunnmon
Umesh M Sharma
Praneetha Elugunti
D. Rubin
Bhavik Patel
Imon Banerjee
65
21
0
14 Apr 2022
Multi-View Hypercomplex Learning for Breast Cancer Screening
Multi-View Hypercomplex Learning for Breast Cancer Screening
Eleonora Lopez
Eleonora Grassucci
Martina Valleriani
Danilo Comminiello
103
8
0
12 Apr 2022
OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System
OSCARS: An Outlier-Sensitive Content-Based Radiography Retrieval System
Xiaoyuan Guo
Jiali Duan
S. Purkayastha
Hari M. Trivedi
J. Gichoya
Imon Banerjee
55
0
0
06 Apr 2022
Interpretable Saliency Maps And Self-Supervised Learning For Generalized
  Zero Shot Medical Image Classification
Interpretable Saliency Maps And Self-Supervised Learning For Generalized Zero Shot Medical Image Classification
Dwarikanath Mahapatra
MedIm
62
2
0
04 Apr 2022
OdontoAI: A human-in-the-loop labeled data set and an online platform to
  boost research on dental panoramic radiographs
OdontoAI: A human-in-the-loop labeled data set and an online platform to boost research on dental panoramic radiographs
Bernardon Silva
Laís Pinheiro
B. Sobrinho
Fernanda Lima
B. Sobrinho
Kalyf Abdalla
M. Pithon
Patrícia Cury
Luciano Oliveira
59
4
0
29 Mar 2022
AUC Maximization in the Era of Big Data and AI: A Survey
AUC Maximization in the Era of Big Data and AI: A Survey
Tianbao Yang
Yiming Ying
181
188
0
28 Mar 2022
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic
  Choices
Benchmarking Deep AUROC Optimization: Loss Functions and Algorithmic Choices
Dixian Zhu
Xiaodong Wu
Tianbao Yang
110
10
0
27 Mar 2022
Improving the Fairness of Chest X-ray Classifiers
Improving the Fairness of Chest X-ray Classifiers
Haoran Zhang
Natalie Dullerud
Karsten Roth
Lauren Oakden-Rayner
Stephen Pfohl
Marzyeh Ghassemi
85
66
0
23 Mar 2022
Generative Modeling Helps Weak Supervision (and Vice Versa)
Generative Modeling Helps Weak Supervision (and Vice Versa)
Benedikt Boecking
Nicholas Roberts
Willie Neiswanger
Stefano Ermon
Frederic Sala
Artur Dubrawski
50
1
0
22 Mar 2022
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture
  Classification
CNN Attention Guidance for Improved Orthopedics Radiographic Fracture Classification
Zhibin Liao
Kewen Liao
Haifeng Shen
M. F. van Boxel
J. Prijs
R. Jaarsma
J. Doornberg
Anton Van Den Hengel
Johan Verjans
59
17
0
21 Mar 2022
PediCXR: An open, large-scale chest radiograph dataset for
  interpretation of common thoracic diseases in children
PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children
Hieu H. Pham
N. H. Nguyen
Thanh-Truong Tran
T. N. Nguyen
H. Nguyen
LM&MA
46
31
0
20 Mar 2022
Learning from Multiple Expert Annotators for Enhancing Anomaly Detection
  in Medical Image Analysis
Learning from Multiple Expert Annotators for Enhancing Anomaly Detection in Medical Image Analysis
Khiem H. Le
Tuan V. Tran
Hieu H. Pham
Hieu T. Nguyen
T. Le
H. Nguyen
74
25
0
20 Mar 2022
AlignTransformer: Hierarchical Alignment of Visual Regions and Disease
  Tags for Medical Report Generation
AlignTransformer: Hierarchical Alignment of Visual Regions and Disease Tags for Medical Report Generation
Di You
Fenglin Liu
Shen Ge
Xiaoxia Xie
Jing Zhang
Xian Wu
ViTMedIm
133
113
0
18 Mar 2022
Why we need biased AI -- How including cognitive and ethical machine
  biases can enhance AI systems
Why we need biased AI -- How including cognitive and ethical machine biases can enhance AI systems
Sarah Fabi
Thilo Hagendorff
70
12
0
18 Mar 2022
Diffusion Models for Medical Anomaly Detection
Diffusion Models for Medical Anomaly Detection
J. Wolleb
Florentin Bieder
Robin Sandkühler
Philippe C. Cattin
MedImDiffM
119
282
0
08 Mar 2022
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray
  Classification
BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification
Yuanhong Chen
Fengbei Liu
Hu Wang
Chong Wang
Yu Tian
Yuyuan Liu
G. Carneiro
NoLa
135
8
0
03 Mar 2022
Large-scale Optimization of Partial AUC in a Range of False Positive
  Rates
Large-scale Optimization of Partial AUC in a Range of False Positive Rates
Yao Yao
Qihang Lin
Tianbao Yang
99
16
0
03 Mar 2022
What Makes Transfer Learning Work For Medical Images: Feature Reuse &
  Other Factors
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors
Christos Matsoukas
Johan Fredin Haslum
Moein Sorkhei
Magnus P Soderberg
Kevin Smith
VLMOODMedIm
132
88
0
02 Mar 2022
Integrated multimodal artificial intelligence framework for healthcare
  applications
Integrated multimodal artificial intelligence framework for healthcare applications
L. Soenksen
Yu Ma
C. Zeng
L. Boussioux
Kimberly Villalobos Carballo
Liangyuan Na
H. Wiberg
Michael Lingzhi Li
Ignacio Fuentes
Dimitris Bertsimas
101
167
0
25 Feb 2022
Deep Learning, Natural Language Processing, and Explainable Artificial
  Intelligence in the Biomedical Domain
Deep Learning, Natural Language Processing, and Explainable Artificial Intelligence in the Biomedical Domain
M. Moradi
Matthias Samwald
132
8
0
25 Feb 2022
Improving Classification Model Performance on Chest X-Rays through Lung
  Segmentation
Improving Classification Model Performance on Chest X-Rays through Lung Segmentation
Hilda Azimi
Jianxing Zhang
Pengcheng Xi
H. Asad
Ashkan Ebadi
Stéphane Tremblay
Alexander Wong
85
8
0
22 Feb 2022
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease
  Classification on Chest X-ray Images
Multi-task UNet: Jointly Boosting Saliency Prediction and Disease Classification on Chest X-ray Images
Hongzhi Zhu
R. Rohling
Septimiu Salcudean
58
5
0
15 Feb 2022
Gaze-Guided Class Activation Mapping: Leveraging Human Attention for
  Network Attention in Chest X-rays Classification
Gaze-Guided Class Activation Mapping: Leveraging Human Attention for Network Attention in Chest X-rays Classification
Hongzhi Zhu
Septimiu Salcudean
R. Rohling
MedIm
48
4
0
15 Feb 2022
AI can evolve without labels: self-evolving vision transformer for chest
  X-ray diagnosis through knowledge distillation
AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation
S. Park
Gwanghyun Kim
Y. Oh
J. Seo
Sang Min Lee
Jin Hwan Kim
Sungjun Moon
Jae-Kwang Lim
Changhyun Park
Jong Chul Ye
ViTMedIm
76
50
0
13 Feb 2022
Indication as Prior Knowledge for Multimodal Disease Classification in
  Chest Radiographs with Transformers
Indication as Prior Knowledge for Multimodal Disease Classification in Chest Radiographs with Transformers
Grzegorz Jacenków
Alison Q. OÑeil
Sotirios A. Tsaftaris
ViTMedIm
84
23
0
12 Feb 2022
MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis
MMLN: Leveraging Domain Knowledge for Multimodal Diagnosis
Haodi Zhang
Chenyu Xu
Pei-hong Liang
Ke Duan
Haopan Ren
Weibin Cheng
Kaishun Wu
35
0
0
09 Feb 2022
Multi-Label Classification of Thoracic Diseases using Dense
  Convolutional Network on Chest Radiographs
Multi-Label Classification of Thoracic Diseases using Dense Convolutional Network on Chest Radiographs
Dipkamal Bhusal
S. Panday
61
5
0
08 Feb 2022
CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in
  Medical Imaging AI
CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI
Arjun Soin
J. Merkow
Jin Long
Joseph Paul Cohen
Smitha Saligrama
Stephen Kaiser
Steven Borg
Ivan Tarapov
M. Lungren
OOD
95
17
0
06 Feb 2022
Deconfounded Representation Similarity for Comparison of Neural Networks
Deconfounded Representation Similarity for Comparison of Neural Networks
Tianyu Cui
Yogesh Kumar
Pekka Marttinen
Samuel Kaski
CML
103
17
0
31 Jan 2022
Syfer: Neural Obfuscation for Private Data Release
Syfer: Neural Obfuscation for Private Data Release
Adam Yala
Victor Quach
H. Esfahanizadeh
Rafael G. L. DÓliveira
K. Duffy
Muriel Médard
Tommi Jaakkola
Regina Barzilay
PICV
125
7
0
28 Jan 2022
Label uncertainty-guided multi-stream model for disease screening
Label uncertainty-guided multi-stream model for disease screening
Chi Liu
Z. Ge
M. He
Xiaotong Han
44
2
0
28 Jan 2022
Calibrating Histopathology Image Classifiers using Label Smoothing
Calibrating Histopathology Image Classifiers using Label Smoothing
Jerry W. Wei
Lorenzo Torresani
Jason W. Wei
Saeed Hassanpour
36
1
0
28 Jan 2022
Vision Checklist: Towards Testable Error Analysis of Image Models to
  Help System Designers Interrogate Model Capabilities
Vision Checklist: Towards Testable Error Analysis of Image Models to Help System Designers Interrogate Model Capabilities
Xin Du
Bénédicte Legastelois
B. Ganesh
A. Rajan
Hana Chockler
Vaishak Belle
Stuart Anderson
S. Ramamoorthy
AAML
73
6
0
27 Jan 2022
Transformers in Medical Imaging: A Survey
Transformers in Medical Imaging: A Survey
Fahad Shamshad
Salman Khan
Syed Waqas Zamir
Muhammad Haris Khan
Munawar Hayat
Fahad Shahbaz Khan
Huazhu Fu
ViTLM&MAMedIm
195
707
0
24 Jan 2022
Debiasing pipeline improves deep learning model generalization for X-ray
  based lung nodule detection
Debiasing pipeline improves deep learning model generalization for X-ray based lung nodule detection
M. J. Horry
Subrata Chakraborty
B. Pradhan
M. Paul
Jing Zhu
H. Loh
P. Barua
Usha R. Acharya
AI4CE
62
7
0
24 Jan 2022
Improving Chest X-Ray Report Generation by Leveraging Warm Starting
Improving Chest X-Ray Report Generation by Leveraging Warm Starting
Aaron Nicolson
Jason Dowling
Bevan Koopman
ViTLM&MAMedIm
101
95
0
24 Jan 2022
Potential sources of dataset bias complicate investigation of
  underdiagnosis by machine learning algorithms
Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms
Mélanie Bernhardt
Charles Jones
Ben Glocker
49
39
0
19 Jan 2022
Self-Supervision and Multi-Task Learning: Challenges in Fine-Grained
  COVID-19 Multi-Class Classification from Chest X-rays
Self-Supervision and Multi-Task Learning: Challenges in Fine-Grained COVID-19 Multi-Class Classification from Chest X-rays
Muhammad Ridzuan
A. Bawazir
Ivo Gollini Navarette
Ibrahim Almakky
Mohammad Yaqub
SSL
104
7
0
16 Jan 2022
Prior Knowledge Enhances Radiology Report Generation
Prior Knowledge Enhances Radiology Report Generation
Song Wang
Liyan Tang
Mingquan Lin
George Shih
Ying Ding
Yifan Peng
MedIm
58
23
0
11 Jan 2022
Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based
  Diagnostics by Prototypical Relevance Propagation
Demonstrating The Risk of Imbalanced Datasets in Chest X-ray Image-based Diagnostics by Prototypical Relevance Propagation
Srishti Gautam
Marina M.-C. Höhne
Stine Hansen
Robert Jenssen
Michael C. Kampffmeyer
59
7
0
10 Jan 2022
Radiology Report Generation with a Learned Knowledge Base and
  Multi-modal Alignment
Radiology Report Generation with a Learned Knowledge Base and Multi-modal Alignment
Shuxin Yang
Xian Wu
Shen Ge
S.Kevin Zhou
Li Xiao
MedIm
61
96
0
30 Dec 2021
Knowledge Matters: Radiology Report Generation with General and Specific
  Knowledge
Knowledge Matters: Radiology Report Generation with General and Specific Knowledge
Shuxin Yang
Xian Wu
Shen Ge
S.Kevin Zhou
Li Xiao
MedIm
91
119
0
30 Dec 2021
MedShift: identifying shift data for medical dataset curation
MedShift: identifying shift data for medical dataset curation
Xiaoyuan Guo
J. Gichoya
Hari M. Trivedi
S. Purkayastha
Imon Banerjee
OOD
29
6
0
27 Dec 2021
Multi-Domain Balanced Sampling Improves Out-of-Distribution
  Generalization of Chest X-ray Pathology Prediction Models
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models
E. Tetteh
J. Viviano
Yoshua Bengio
David M. Krueger
Joseph Paul Cohen
OOD
53
3
0
27 Dec 2021
Impact of class imbalance on chest x-ray classifiers: towards better
  evaluation practices for discrimination and calibration performance
Impact of class imbalance on chest x-ray classifiers: towards better evaluation practices for discrimination and calibration performance
Candelaria Mosquera
Luciana Ferrer
Diego H. Milone
D.R. Luna
Enzo Ferrante
44
3
0
23 Dec 2021
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray
  Abnormality Localization and Diagnosis
Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis
Xi Ouyang
Srikrishna Karanam
Ziyan Wu
Terrence Chen
Jiayu Huo
X. Zhou
Qian Wang
Jie Cheng
OOD
55
94
0
23 Dec 2021
Learning Semi-Structured Representations of Radiology Reports
Learning Semi-Structured Representations of Radiology Reports
Katic Tamara
M. Pavlovski
Danijela Sekulic
Slobodan Vučetić
MedIm
32
0
0
20 Dec 2021
Neural Style Transfer and Unpaired Image-to-Image Translation to deal
  with the Domain Shift Problem on Spheroid Segmentation
Neural Style Transfer and Unpaired Image-to-Image Translation to deal with the Domain Shift Problem on Spheroid Segmentation
Manuel García-Domínguez
C. Domínguez
Jónathan Heras
Eloy J. Mata
Vico Pascual
OODMedIm
16
0
0
16 Dec 2021
Joint Learning of Localized Representations from Medical Images and
  Reports
Joint Learning of Localized Representations from Medical Images and Reports
Philipp Muller
Georgios Kaissis
Cong Zou
Daniel Munich
206
86
0
06 Dec 2021
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