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1901.07031
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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
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Papers citing
"CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison"
50 / 1,131 papers shown
Title
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
eGAN: Unsupervised approach to class imbalance using transfer learning
Ademola Okerinde
L. Shamir
W. Hsu
T. Theis
N. Nafi
GAN
25
4
0
09 Apr 2021
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
A clinical validation of VinDr-CXR, an AI system for detecting abnormal chest radiographs
N. H. Nguyen
H. Nguyen
N. T. Nguyen
T. Nguyen
Hieu H. Pham
T. N. Nguyen
31
9
0
06 Apr 2021
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
Effect of Radiology Report Labeler Quality on Deep Learning Models for Chest X-Ray Interpretation
Saahil Jain
Akshay Smit
A. Ng
Pranav Rajpurkar
30
9
0
01 Apr 2021
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features
Ashkan Khakzar
Yang Zhang
W. Mansour
Yuezhi Cai
Yawei Li
Yucheng Zhang
Seong Tae Kim
Nassir Navab
FAtt
98
17
0
01 Apr 2021
Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays
Xiaosong Wang
Ziyue Xu
Leo K. Tam
Dong Yang
Daguang Xu
ViT
MedIm
68
24
0
30 Mar 2021
MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning
Akshay Smit
Damir Vrabac
Yujie He
A. Ng
Andrew L. Beam
Pranav Rajpurkar
41
7
0
26 Mar 2021
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Colorado Reed
Xiangyu Yue
Aniruddha Nrusimha
Sayna Ebrahimi
Vivek Vijaykumar
...
Shanghang Zhang
Devin Guillory
Sean L. Metzger
Kurt Keutzer
Trevor Darrell
118
108
0
23 Mar 2021
Multi-view analysis of unregistered medical images using cross-view transformers
Gijs van Tulder
Yao Tong
E. Marchiori
ViT
103
59
0
21 Mar 2021
An Empirical Framework for Domain Generalization in Clinical Settings
Haoran Zhang
Natalie Dullerud
Laleh Seyyed-Kalantari
Q. Morris
Shalmali Joshi
Marzyeh Ghassemi
OOD
AI4CE
125
61
0
20 Mar 2021
Variational Knowledge Distillation for Disease Classification in Chest X-Rays
Tom van Sonsbeek
Xiantong Zhen
M. Worring
Ling Shao
26
13
0
19 Mar 2021
XProtoNet: Diagnosis in Chest Radiography with Global and Local Explanations
Eunji Kim
Siwon Kim
Minji Seo
Sungroh Yoon
ViT
FAtt
74
116
0
19 Mar 2021
CheXbreak: Misclassification Identification for Deep Learning Models Interpreting Chest X-rays
E. Chen
Andy Kim
R. Krishnan
J. Long
A. Ng
Pranav Rajpurkar
51
2
0
18 Mar 2021
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
LM&MA
124
329
0
15 Mar 2021
Deep Learning-based Patient Re-identification Is able to Exploit the Biometric Nature of Medical Chest X-ray Data
Kai Packhauser
Sebastian Gündel
Nicolas Münster
Christopher Syben
Vincent Christlein
Andreas Maier
OOD
77
48
0
15 Mar 2021
Severity Quantification and Lesion Localization of COVID-19 on CXR using Vision Transformer
Gwanghyun Kim
Sangjoon Park
Y. Oh
J. Seo
Sang Min Lee
Jin Hwan Kim
Sungjun Moon
Jae-Kwang Lim
J. C. Ye
ViT
MedIm
70
4
0
12 Mar 2021
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
ViT
MedIm
85
34
0
12 Mar 2021
A Relational-learning Perspective to Multi-label Chest X-ray Classification
Anjany Sekuboyina
Daniel Oñoro-Rubio
Jens Kleesiek
Brandon Malone
31
6
0
10 Mar 2021
CheXseen: Unseen Disease Detection for Deep Learning Interpretation of Chest X-rays
Siyu Shi
Ishaan Malhi
Ke M. Tran
A. Ng
Pranav Rajpurkar
42
4
0
08 Mar 2021
Multimodal Representation Learning via Maximization of Local Mutual Information
Ruizhi Liao
Daniel Moyer
Miriam Cha
Keegan Quigley
Seth Berkowitz
Steven Horng
Polina Golland
W. Wells
SSL
94
43
0
08 Mar 2021
NVUM: Non-Volatile Unbiased Memory for Robust Medical Image Classification
Fengbei Liu
Yuanhong Chen
Yu Tian
Yuyuan Liu
Chong Wang
Vasileios Belagiannis
G. Carneiro
66
13
0
06 Mar 2021
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
Self-supervised deep convolutional neural network for chest X-ray classification
Matej Gazda
J. Gazda
J. Plávka
P. Drotár
SSL
148
56
0
04 Mar 2021
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
266
1,035
0
03 Mar 2021
EnD: Entangling and Disentangling deep representations for bias correction
Enzo Tartaglione
C. Barbano
Marco Grangetto
83
125
0
02 Mar 2021
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
NoLa
OOD
97
23
0
28 Feb 2021
Many-to-One Distribution Learning and K-Nearest Neighbor Smoothing for Thoracic Disease Identification
Yi Zhou
Lei Huang
Tianfei Zhou
Ling Shao
58
8
0
26 Feb 2021
Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations
J. Seth
R. Lokwani
V. Kulkarni
Aniruddha Pant
A. Kharat
31
0
0
25 Feb 2021
VisualCheXbert: Addressing the Discrepancy Between Radiology Report Labels and Image Labels
Saahil Jain
Akshay Smit
Steven QH Truong
C. Nguyen
Minh-Thanh Huynh
Mudit Jain
Victoria A Young
A. Ng
M. Lungren
Pranav Rajpurkar
MedIm
60
31
0
23 Feb 2021
Non-Convex Optimization with Spectral Radius Regularization
Adam Sandler
Diego Klabjan
Yuan Luo
ODL
45
1
0
22 Feb 2021
MedAug: Contrastive learning leveraging patient metadata improves representations for chest X-ray interpretation
Yen Nhi Truong Vu
Richard Wang
N. Balachandar
Can Liu
A. Ng
Pranav Rajpurkar
100
84
0
21 Feb 2021
CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation
Soham Gadgil
Mark Endo
Emily Wen
A. Ng
Pranav Rajpurkar
64
11
0
21 Feb 2021
Inducing a hierarchy for multi-class classification problems
Hayden S. Helm
Weiwei Yang
Sujeeth Bharadwaj
Kate Lytvynets
Oriana Riva
Christopher M. White
Ali Geisa
Carey E. Priebe
49
7
0
20 Feb 2021
Progressive Transformer-Based Generation of Radiology Reports
Farhad Nooralahzadeh
Nicolas Andres Perez Gonzalez
T. Frauenfelder
Koji Fujimoto
Michael Krauthammer
ViT
MedIm
108
89
0
19 Feb 2021
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
FAtt
MedIm
85
3
0
18 Feb 2021
CheXternal: Generalization of Deep Learning Models for Chest X-ray Interpretation to Photos of Chest X-rays and External Clinical Settings
Pranav Rajpurkar
Anirudh Joshi
Anuj Pareek
A. Ng
M. Lungren
OOD
103
14
0
17 Feb 2021
Twin Augmented Architectures for Robust Classification of COVID-19 Chest X-Ray Images
Kartikeya Badola
Sameer Ambekar
Himanshu Pant
Sumit Soman
A. Sural
Rajiv Narang
Suresh Chandra
Jayadeva Jayadeva
OOD
22
0
0
16 Feb 2021
Technical Challenges for Training Fair Neural Networks
Valeriia Cherepanova
V. Nanda
Micah Goldblum
John P. Dickerson
Tom Goldstein
FaML
71
22
0
12 Feb 2021
Searching for Pneumothorax in X-Ray Images Using Autoencoded Deep Features
Antonio Sze-To
Abtin Riasatian
Hamid R. Tizhoosh
26
13
0
11 Feb 2021
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning
F. Kanavati
M. Tsuneki
MedIm
70
36
0
10 Feb 2021
Federated Deep AUC Maximization for Heterogeneous Data with a Constant Communication Complexity
Zhuoning Yuan
Zhishuai Guo
Yi Tian Xu
Yiming Ying
Tianbao Yang
FedML
69
36
0
09 Feb 2021
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice
V. Kulkarni
M. Gawali
A. Kharat
VLM
108
21
0
03 Feb 2021
A Petri Dish for Histopathology Image Analysis
Jerry W. Wei
A. Suriawinata
Bing Ren
Xiaoying Liu
Mikhail Lisovsky
...
Michael Baker
Naofumi Tomita
Lorenzo Torresani
Jason W. Wei
Saeed Hassanpour
127
73
0
29 Jan 2021
Self-supervised Cross-silo Federated Neural Architecture Search
Xinle Liang
Yang Liu
Jiahuan Luo
Yuanqin He
Tianjian Chen
Qiang Yang
FedML
151
18
0
28 Jan 2021
A two-step explainable approach for COVID-19 computer-aided diagnosis from chest x-ray images
C. Barbano
Enzo Tartaglione
C. Berzovini
M. Calandri
Marco Grangetto
23
1
0
25 Jan 2021
Weakly Supervised Thoracic Disease Localization via Disease Masks
Hyun-woo Kim
Hong G Jung
Seong-Whan Lee
49
9
0
25 Jan 2021
Diagnostic Captioning: A Survey
John Pavlopoulos
Vasiliki Kougia
Ion Androutsopoulos
D. Papamichail
3DV
MedIm
155
29
0
18 Jan 2021
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
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