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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
A Review of Uncertainty Estimation and its Application in Medical
  Imaging
A Review of Uncertainty Estimation and its Application in Medical Imaging
K. Zou
Zhihao Chen
Xuedong Yuan
Xiaojing Shen
Meng Wang
Huazhu Fu
UQCV
127
92
0
16 Feb 2023
Evaluating Trade-offs in Computer Vision Between Attribute Privacy,
  Fairness and Utility
Evaluating Trade-offs in Computer Vision Between Attribute Privacy, Fairness and Utility
William Paul
P. Mathew
F. Alajaji
Philippe Burlina
33
2
0
15 Feb 2023
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using
  Large Language Models
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models
Sheng Wang
Zihao Zhao
Xi Ouyang
Qian Wang
Dinggang Shen
LM&MAMedIm
79
144
0
14 Feb 2023
A Comprehensive Study of Modern Architectures and Regularization
  Approaches on CheXpert5000
A Comprehensive Study of Modern Architectures and Regularization Approaches on CheXpert5000
Sontje Ihler
Felix Kuhnke
Svenja Spindeldreier
32
1
0
13 Feb 2023
Explainable Anomaly Detection in Images and Videos: A Survey
Explainable Anomaly Detection in Images and Videos: A Survey
Yizhou Wang
Dongliang Guo
Sheng Li
Octavia Camps
Yun Fu
118
6
0
13 Feb 2023
PerAda: Parameter-Efficient Federated Learning Personalization with
  Generalization Guarantees
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees
Chulin Xie
De-An Huang
Wen-Hsuan Chu
Daguang Xu
Chaowei Xiao
Yue Liu
Anima Anandkumar
FedML
98
12
0
13 Feb 2023
A Review of Predictive and Contrastive Self-supervised Learning for
  Medical Images
A Review of Predictive and Contrastive Self-supervised Learning for Medical Images
Wei-Chien Wang
Euijoon Ahn
Da-wei Feng
Jinman Kim
MedIm
130
29
0
10 Feb 2023
Learning to Select Pivotal Samples for Meta Re-weighting
Learning to Select Pivotal Samples for Meta Re-weighting
Yinjun Wu
Adam Stein
Jacob R. Gardner
Mayur Naik
61
0
0
09 Feb 2023
Learning disentangled representations for explainable chest X-ray
  classification using Dirichlet VAEs
Learning disentangled representations for explainable chest X-ray classification using Dirichlet VAEs
Rachael Harkness
Alejandro F Frangi
K. Zucker
Nishant Ravikumar
CMLCoGe
28
4
0
06 Feb 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
Salah Ghamizi
Jingfeng Zhang
Maxime Cordy
Mike Papadakis
Masashi Sugiyama
Yves Le Traon
AAML
74
3
0
06 Feb 2023
CMLCompiler: A Unified Compiler for Classical Machine Learning
CMLCompiler: A Unified Compiler for Classical Machine Learning
Xu Wen
Wanling Gao
An-Dong Li
Lei Wang
Zihan Jiang
Jianfeng Zhan
36
0
0
31 Jan 2023
Advancing Radiograph Representation Learning with Masked Record Modeling
Advancing Radiograph Representation Learning with Masked Record Modeling
Hong-Yu Zhou
Chenyu Lian
Lian-cheng Wang
Yizhou Yu
MedIm
108
59
0
30 Jan 2023
Exploring Image Augmentations for Siamese Representation Learning with
  Chest X-Rays
Exploring Image Augmentations for Siamese Representation Learning with Chest X-Rays
Rogier van der Sluijs
Nandita Bhaskhar
D. Rubin
C. Langlotz
Akshay S. Chaudhari
SSL
48
14
0
30 Jan 2023
Cross Modal Global Local Representation Learning from Radiology Reports
  and X-Ray Chest Images
Cross Modal Global Local Representation Learning from Radiology Reports and X-Ray Chest Images
Nathan Hadjiyski
Ali Vosoughi
A. Wismueller
27
5
0
26 Jan 2023
Pneumonia Detection in Chest X-Ray Images : Handling Class Imbalance
Pneumonia Detection in Chest X-Ray Images : Handling Class Imbalance
Wardah Ali
Eesha Qureshi
Omama Ahmed Farooqi
Rizwan Ahmed Khan
100
5
0
20 Jan 2023
Learning to Exploit Temporal Structure for Biomedical Vision-Language
  Processing
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
Shruthi Bannur
Stephanie L. Hyland
Qianchu Liu
Fernando Pérez-García
Maximilian Ilse
...
Maria T. A. Wetscherek
M. Lungren
A. Nori
Javier Alvarez-Valle
Ozan Oktay
87
127
0
11 Jan 2023
GraVIS: Grouping Augmented Views from Independent Sources for
  Dermatology Analysis
GraVIS: Grouping Augmented Views from Independent Sources for Dermatology Analysis
Hong-Yu Zhou
Chi-Ken Lu
Liansheng Wang
Yizhou Yu
OOD
39
0
0
11 Jan 2023
Advances in Medical Image Analysis with Vision Transformers: A
  Comprehensive Review
Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review
Reza Azad
Amirhossein Kazerouni
Moein Heidari
Ehsan Khodapanah Aghdam
Amir Molaei
Yiwei Jia
Abin Jose
Rijo Roy
Dorit Merhof
MedImViT
114
187
0
09 Jan 2023
MOTOR: A Time-To-Event Foundation Model For Structured Medical Records
MOTOR: A Time-To-Event Foundation Model For Structured Medical Records
E. Steinberg
Jason Alan Fries
Yizhe Xu
N. Shah
OODAI4TS
157
19
0
09 Jan 2023
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in
  Radiology
MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training in Radiology
Chaoyi Wu
Xiaoman Zhang
Ya Zhang
Yanfeng Wang
Weidi Xie
LM&MAVLM
114
120
0
05 Jan 2023
On Fairness of Medical Image Classification with Multiple Sensitive
  Attributes via Learning Orthogonal Representations
On Fairness of Medical Image Classification with Multiple Sensitive Attributes via Learning Orthogonal Representations
Wenlong Deng
Yuan Zhong
Qianming Dou
Xiaoxiao Li
FaML
92
18
0
04 Jan 2023
PCRLv2: A Unified Visual Information Preservation Framework for
  Self-supervised Pre-training in Medical Image Analysis
PCRLv2: A Unified Visual Information Preservation Framework for Self-supervised Pre-training in Medical Image Analysis
Hong-Yu Zhou
Chi-Ken Lu
Chaoqi Chen
Sibei Yang
Yizhou Yu
85
53
0
02 Jan 2023
Introduction to Machine Learning for Physicians: A Survival Guide for
  Data Deluge
Introduction to Machine Learning for Physicians: A Survival Guide for Data Deluge
Ricards Marcinkevics
Ece Ozkan
Julia E. Vogt
OODLM&MAFedML
56
2
0
23 Dec 2022
On Evaluating Adversarial Robustness of Chest X-ray Classification:
  Pitfalls and Best Practices
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices
Salah Ghamizi
Maxime Cordy
Michail Papadakis
Yves Le Traon
OOD
47
3
0
15 Dec 2022
Diffusion Probabilistic Models beat GANs on Medical Images
Diffusion Probabilistic Models beat GANs on Medical Images
Gustav Muller-Franzes
J. Niehues
Firas Khader
Soroosh Tayebi Arasteh
Christoph Haarburger
...
Tian Wang
T. Han
S. Nebelung
Jakob Nikolas Kather
Daniel Truhn
DiffMMedIm
65
102
0
14 Dec 2022
Interactive Concept Bottleneck Models
Interactive Concept Bottleneck Models
Kushal Chauhan
Rishabh Tiwari
Jan Freyberg
Pradeep Shenoy
Krishnamurthy Dvijotham
91
57
0
14 Dec 2022
Significantly Improving Zero-Shot X-ray Pathology Classification via
  Fine-tuning Pre-trained Image-Text Encoders
Significantly Improving Zero-Shot X-ray Pathology Classification via Fine-tuning Pre-trained Image-Text Encoders
Jongseong Jang
Daeun Kyung
Seunghyeon Kim
Honglak Lee
Kyunghoon Bae
Edward Choi
LM&MAMedIm
70
11
0
14 Dec 2022
TIER: Text-Image Entropy Regularization for CLIP-style models
TIER: Text-Image Entropy Regularization for CLIP-style models
Anil Palepu
Andrew L. Beam
MedIm
114
6
0
13 Dec 2022
Position: Considerations for Differentially Private Learning with
  Large-Scale Public Pretraining
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining
Florian Tramèr
Gautam Kamath
Nicholas Carlini
SILM
129
72
0
13 Dec 2022
A Trustworthy Framework for Medical Image Analysis with Deep Learning
A Trustworthy Framework for Medical Image Analysis with Deep Learning
Kai Ma
Siyuan He
Pengcheng Xi
Ashkan Ebadi
Stéphane Tremblay
Alexander Wong
MedIm
58
1
0
06 Dec 2022
Vertical Federated Learning: A Structured Literature Review
Vertical Federated Learning: A Structured Literature Review
Afsana Khan
M. T. Thij
A. Wilbik
FedML
112
10
0
01 Dec 2022
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions
  with "Spurious" Correlations
Beyond Invariance: Test-Time Label-Shift Adaptation for Distributions with "Spurious" Correlations
Qingyao Sun
Kevin Murphy
S. Ebrahimi
Alexander DÁmour
OODVLM
60
8
0
28 Nov 2022
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Chroma-VAE: Mitigating Shortcut Learning with Generative Classifiers
Wanqian Yang
Polina Kirichenko
Micah Goldblum
A. Wilson
DRL
78
12
0
28 Nov 2022
Multi-Label Chest X-Ray Classification via Deep Learning
Multi-Label Chest X-Ray Classification via Deep Learning
A. Pillai
OOD
38
20
0
27 Nov 2022
A Knowledge-based Learning Framework for Self-supervised Pre-training
  Towards Enhanced Recognition of Biomedical Microscopy Images
A Knowledge-based Learning Framework for Self-supervised Pre-training Towards Enhanced Recognition of Biomedical Microscopy Images
Wei Chen
Chen Li
Dan Chen
Xin Luo
MedImSSL
77
12
0
27 Nov 2022
Collaborative Training of Medical Artificial Intelligence Models with
  non-uniform Labels
Collaborative Training of Medical Artificial Intelligence Models with non-uniform Labels
Soroosh Tayebi Arasteh
P. Isfort
Marwin Saehn
Gustav Mueller-Franzes
Firas Khader
Jakob Nikolas Kather
Christiane Kuhl
S. Nebelung
Daniel Truhn
FedML
102
18
0
24 Nov 2022
On the Importance of Image Encoding in Automated Chest X-Ray Report
  Generation
On the Importance of Image Encoding in Automated Chest X-Ray Report Generation
Otabek Nazarov
Mohammad Yaqub
Karthik Nandakumar
MedIm
54
3
0
24 Nov 2022
Private Multi-Winner Voting for Machine Learning
Private Multi-Winner Voting for Machine Learning
Adam Dziedzic
Christopher A. Choquette-Choo
Natalie Dullerud
Vinith Suriyakumar
Ali Shahin Shamsabadi
Muhammad Ahmad Kaleem
S. Jha
Nicolas Papernot
Xiao Wang
99
1
0
23 Nov 2022
Can we Adopt Self-supervised Pretraining for Chest X-Rays?
Can we Adopt Self-supervised Pretraining for Chest X-Rays?
Arsh Verma
Makarand Tapaswi
SSL
49
3
0
23 Nov 2022
Vertical Federated Learning: Concepts, Advances and Challenges
Vertical Federated Learning: Concepts, Advances and Challenges
Yang Liu
Yan Kang
Tianyuan Zou
Yanhong Pu
Yuanqin He
Xiaozhou Ye
Ye Ouyang
Yaqin Zhang
Qian Yang
FedML
187
176
0
23 Nov 2022
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation
Pierre J. Chambon
Christian Blüthgen
Jean-Benoit Delbrouck
Rogier van der Sluijs
M. Polacin
Juan Manuel Zambrano Chaves
Tanishq Mathew Abraham
Shivanshu Purohit
C. Langlotz
Akshay S. Chaudhari
LM&MADiffMMedIm
92
102
0
23 Nov 2022
Multimorbidity Content-Based Medical Image Retrieval Using Proxies
Multimorbidity Content-Based Medical Image Retrieval Using Proxies
Yu Xing
Benjamin J. Meyer
Mehrtash Harandi
Tom Drummond
Z. Ge
45
0
0
22 Nov 2022
Algorithmic Decision-Making Safeguarded by Human Knowledge
Algorithmic Decision-Making Safeguarded by Human Knowledge
Ningyuan Chen
Mingya Hu
Wenhao Li
59
5
0
20 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Amirhossein Kazerouni
Ehsan Khodapanah Aghdam
Moein Heidari
Reza Azad
Mohsen Fayyaz
Ilker Hacihaliloglu
Dorit Merhof
DiffMMedIm
135
396
0
14 Nov 2022
Adaptive Federated Minimax Optimization with Lower Complexities
Adaptive Federated Minimax Optimization with Lower Complexities
Feihu Huang
Xinrui Wang
Junyi Li
Songcan Chen
FedML
107
5
0
14 Nov 2022
The Role of Local Alignment and Uniformity in Image-Text Contrastive
  Learning on Medical Images
The Role of Local Alignment and Uniformity in Image-Text Contrastive Learning on Medical Images
Philip Muller
Georgios Kaissis
Daniel Rueckert
MedIm
118
8
0
14 Nov 2022
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest
  X-Rays using Transfer Learning and Fusion Strategies
Early Diagnosis of Chronic Obstructive Pulmonary Disease from Chest X-Rays using Transfer Learning and Fusion Strategies
Ryan Wang
Li-Ching Chen
L. Moukheiber
Mira Moukheiber
Dana Moukheiber
...
Hari M. Trivedi
R. Steinberg
Po-Chih Kuo
J. Gichoya
Leo Anthony Celi
26
1
0
13 Nov 2022
DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis
DeltaNet:Conditional Medical Report Generation for COVID-19 Diagnosis
Xian Wu
Shuxin Yang
Zhaopeng Qiu
Shen Ge
Yangtian Yan
Xingwang Wu
Yefeng Zheng
S. Kevin Zhou
Li Xiao
MedIm
81
21
0
12 Nov 2022
From Competition to Collaboration: Making Toy Datasets on Kaggle
  Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning
From Competition to Collaboration: Making Toy Datasets on Kaggle Clinically Useful for Chest X-Ray Diagnosis Using Federated Learning
Pranav Kulkarni
Adway U. Kanhere
Paul H. Yi
V. Parekh
FedML
31
2
0
11 Nov 2022
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays
Amelia Jiménez-Sánchez
Dovile Juodelye
B. Chamberlain
Veronika Cheplygina
70
15
0
08 Nov 2022
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