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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 Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
A Survey of Deep Learning-based Radiology Report Generation Using Multimodal Data
Xinyi Wang
Grazziela Figueredo
Ruizhe Li
Wei Emma Zhang
Weitong Chen
Xin Chen
MedImViT
110
2
0
21 May 2024
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
Zhichao Sun
Yuliang Gu
Yepeng Liu
Zerui Zhang
Zhou Zhao
Yongchao Xu
MedIm
121
3
0
20 May 2024
Inquire, Interact, and Integrate: A Proactive Agent Collaborative
  Framework for Zero-Shot Multimodal Medical Reasoning
Inquire, Interact, and Integrate: A Proactive Agent Collaborative Framework for Zero-Shot Multimodal Medical Reasoning
Zishan Gu
Fenglin Liu
Changchang Yin
Ping Zhang
LRMLM&MA
99
0
0
19 May 2024
AI-Assisted Diagnosis for Covid-19 CXR Screening: From Data Collection
  to Clinical Validation
AI-Assisted Diagnosis for Covid-19 CXR Screening: From Data Collection to Clinical Validation
C. Barbano
Riccardo Renzulli
M. Grosso
Domenico Basile
Marco Busso
Marco Grangetto
37
1
0
19 May 2024
MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
MediCLIP: Adapting CLIP for Few-shot Medical Image Anomaly Detection
Ximiao Zhang
Min Xu
Dehui Qiu
Ruixin Yan
Ning Lang
Xiuzhuang Zhou
VLMMedIm
97
10
0
18 May 2024
Automated Radiology Report Generation: A Review of Recent Advances
Automated Radiology Report Generation: A Review of Recent Advances
Phillip Sloan
Philip Clatworthy
Edwin Simpson
Majid Mirmehdi
79
21
0
17 May 2024
Many-Shot In-Context Learning in Multimodal Foundation Models
Many-Shot In-Context Learning in Multimodal Foundation Models
Yixing Jiang
Jeremy Irvin
Ji Hun Wang
Muhammad Ahmed Chaudhry
Jonathan H. Chen
Andrew Y. Ng
VLM
122
34
0
16 May 2024
Learning Generalized Medical Image Representations through Image-Graph
  Contrastive Pretraining
Learning Generalized Medical Image Representations through Image-Graph Contrastive Pretraining
Sameer Tajdin Khanna
Daniel J. Michael
Marinka Zitnik
Pranav Rajpurkar
SSLMedIm
52
1
0
15 May 2024
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based
  Counterfactual Explanations
DeCoDEx: Confounder Detector Guidance for Improved Diffusion-based Counterfactual Explanations
Nima Fathi
Amar Kumar
Brennan Nichyporuk
Mohammad Havaei
Tal Arbel
DiffMCML
130
2
0
15 May 2024
Factual Serialization Enhancement: A Key Innovation for Chest X-ray
  Report Generation
Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation
Kang Liu
Zhuoqi Ma
Mengmeng Liu
Zhicheng Jiao
Xiaolu Kang
Qiguang Miao
Kun Xie
MedIm
83
1
0
15 May 2024
Self-supervised vision-langage alignment of deep learning
  representations for bone X-rays analysis
Self-supervised vision-langage alignment of deep learning representations for bone X-rays analysis
A. Englebert
Anne-Sophie Collin
O. Cornu
Christophe De Vleeschouwer
74
1
0
14 May 2024
Beyond the Black Box: Do More Complex Models Provide Superior XAI
  Explanations?
Beyond the Black Box: Do More Complex Models Provide Superior XAI Explanations?
Mateusz Cedro
Marcin Chlebus
67
1
0
14 May 2024
CoVScreen: Pitfalls and recommendations for screening COVID-19 using
  Chest X-rays
CoVScreen: Pitfalls and recommendations for screening COVID-19 using Chest X-rays
Sonit Singh
50
1
0
13 May 2024
MedVersa: A Generalist Foundation Model for Medical Image Interpretation
MedVersa: A Generalist Foundation Model for Medical Image Interpretation
Hong-Yu Zhou
Subathra Adithan
J. N. Acosta
Suvrankar Datta
E. Topol
Pranav Rajpurkar
MedIm
141
29
0
13 May 2024
Open Challenges and Opportunities in Federated Foundation Models Towards
  Biomedical Healthcare
Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare
Xingyu Li
Lu Peng
Yuping Wang
Weihua Zhang
AI4CEMedImLM&MA
114
12
0
10 May 2024
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for
  Multi-Label Medical Image Classification
Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-Label Medical Image Classification
Yaoqin Ye
Junjie Zhang
Hongwei Shi
MedImVLM
74
1
0
10 May 2024
EVA-X: A Foundation Model for General Chest X-ray Analysis with
  Self-supervised Learning
EVA-X: A Foundation Model for General Chest X-ray Analysis with Self-supervised Learning
Jingfeng Yao
Xinggang Wang
Yuehao Song
Huangxuan Zhao
Jun Ma
Yajie Chen
Wenyu Liu
Bo Wang
ViT
82
6
0
08 May 2024
Topicwise Separable Sentence Retrieval for Medical Report Generation
Topicwise Separable Sentence Retrieval for Medical Report Generation
Junting Zhao
Yang Zhou
Zhihao Chen
Huazhu Fu
Liang Wan
MedIm
57
1
0
07 May 2024
GREEN: Generative Radiology Report Evaluation and Error Notation
GREEN: Generative Radiology Report Evaluation and Error Notation
Sophie Ostmeier
Justin Xu
Zhihong Chen
Maya Varma
Louis Blankemeier
...
Arne Edward Michalson
Michael E. Moseley
Curtis P. Langlotz
Akshay S. Chaudhari
Jean-Benoit Delbrouck
MedIm
100
28
0
06 May 2024
FITA: Fine-grained Image-Text Aligner for Radiology Report Generation
FITA: Fine-grained Image-Text Aligner for Radiology Report Generation
Honglong Yang
Hui Tang
Xiaomeng Li
MedIm
72
1
0
02 May 2024
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for
  Long-Tailed Chest X-Ray Classification
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification
Skylar Chan
Pranav Kulkarni
Paul H. Yi
Vishwa S. Parekh
102
0
0
30 Apr 2024
Decoding Radiologists' Intentions: A Novel System for Accurate Region
  Identification in Chest X-ray Image Analysis
Decoding Radiologists' Intentions: A Novel System for Accurate Region Identification in Chest X-ray Image Analysis
Akash Awasthi
Safwan Ahmad
Bryant Le
Hien Nguyen
58
0
0
29 Apr 2024
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision
  Language Models
SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models
M. Kapadnis
Sohan Patnaik
Abhilash Nandy
Sourjyadip Ray
Pawan Goyal
Debdoot Sheet
VLM
65
5
0
27 Apr 2024
Fusion of Domain-Adapted Vision and Language Models for Medical Visual
  Question Answering
Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering
Cuong Nhat Ha
Shima Asaadi
Sanjeev Kumar Karn
Oladimeji Farri
Tobias Heimann
Thomas Runkler
68
5
0
24 Apr 2024
ChEX: Interactive Localization and Region Description in Chest X-rays
ChEX: Interactive Localization and Region Description in Chest X-rays
Philip Muller
Georgios Kaissis
Daniel Rueckert
88
5
0
24 Apr 2024
Representing Part-Whole Hierarchies in Foundation Models by Learning
  Localizability, Composability, and Decomposability from Anatomy via
  Self-Supervision
Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability, Composability, and Decomposability from Anatomy via Self-Supervision
M. Taher
Michael B. Gotway
Jianming Liang
MedIm
101
6
0
24 Apr 2024
Improving Pediatric Pneumonia Diagnosis with Adult Chest X-ray Images
  Utilizing Contrastive Learning and Embedding Similarity
Improving Pediatric Pneumonia Diagnosis with Adult Chest X-ray Images Utilizing Contrastive Learning and Embedding Similarity
Mohammad Zunaed
Anwarul Hasan
Taufiq Hasan
69
0
0
19 Apr 2024
A Large-scale Medical Visual Task Adaptation Benchmark
A Large-scale Medical Visual Task Adaptation Benchmark
Shentong Mo
Xufang Luo
Yansen Wang
Dongsheng Li
MedIm
59
2
0
19 Apr 2024
Computer-Aided Diagnosis of Thoracic Diseases in Chest X-rays using
  hybrid CNN-Transformer Architecture
Computer-Aided Diagnosis of Thoracic Diseases in Chest X-rays using hybrid CNN-Transformer Architecture
Sonit Singh
MedImViT
53
1
0
18 Apr 2024
Global Counterfactual Directions
Global Counterfactual Directions
Bartlomiej Sobieski
P. Biecek
DiffM
141
7
0
18 Apr 2024
Fairness Evolution in Continual Learning for Medical Imaging
Fairness Evolution in Continual Learning for Medical Imaging
Marina Ceccon
Davide Dalle Pezze
Alessandro Fabris
Gian Antonio Susto
OOD
114
1
0
10 Apr 2024
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
Multi-Label Continual Learning for the Medical Domain: A Novel Benchmark
Marina Ceccon
Davide Dalle Pezze
Alessandro Fabris
Gian Antonio Susto
CLL
84
2
0
10 Apr 2024
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?
Yutong Xie
Qi Chen
Sinuo Wang
Minh-Son To
Iris Lee
Ee Win Khoo
Kerolos Hendy
Daniel Koh
Yong-quan Xia
Qi Wu
MedImLM&MA
95
9
0
07 Apr 2024
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from
  X-ray Expert Models
Bootstrapping Chest CT Image Understanding by Distilling Knowledge from X-ray Expert Models
Weiwei Cao
Jianpeng Zhang
Yingda Xia
Tony C. W. Mok
Zi Li
X. Ye
Le Lu
Jian Zheng
Yuxing Tang
Ling Zhang
58
4
0
07 Apr 2024
DeViDe: Faceted medical knowledge for improved medical vision-language
  pre-training
DeViDe: Faceted medical knowledge for improved medical vision-language pre-training
Haozhe Luo
Ziyu Zhou
Corentin Royer
Anjany Sekuboyina
Bjoern Menze
VLMViTMedIm
101
7
0
04 Apr 2024
FairCLIP: Harnessing Fairness in Vision-Language Learning
FairCLIP: Harnessing Fairness in Vision-Language Learning
Yan Luo
Minfei Shi
Muhammad Osama Khan
Muhammad Muneeb Afzal
Hao Huang
...
Luo Song
Ava Kouhana
T. Elze
Yi Fang
Mengyu Wang
VLM
93
38
0
29 Mar 2024
A Novel Corpus of Annotated Medical Imaging Reports and Information
  Extraction Results Using BERT-based Language Models
A Novel Corpus of Annotated Medical Imaging Reports and Information Extraction Results Using BERT-based Language Models
Namu Park
K. Lybarger
Giridhar Kaushik Ramachandran
Spencer Lewis
Aashka Damani
Özlem Uzuner
Martin Gunn
Meliha Yetisgen
MedIm
67
1
0
27 Mar 2024
Detection of subclinical atherosclerosis by image-based deep learning on
  chest x-ray
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray
G. Gallone
Francesco Iodice
Alberto Presta
D. Tore
O. Filippo
...
Attilio Fiandrotti
A. Depaoli
Marco Grangetto
Gaetano Maria de Ferrari
Fabrizio d’Ascenzo
55
0
0
27 Mar 2024
Clinical Domain Knowledge-Derived Template Improves Post Hoc AI
  Explanations in Pneumothorax Classification
Clinical Domain Knowledge-Derived Template Improves Post Hoc AI Explanations in Pneumothorax Classification
Han Yuan
Chuan Hong
Pengtao Jiang
Gangming Zhao
Nguyen Tuan Anh Tran
Xinxing Xu
Yet Yen Yan
Nan Liu
62
11
0
26 Mar 2024
Residual-based Language Models are Free Boosters for Biomedical Imaging
Residual-based Language Models are Free Boosters for Biomedical Imaging
Zhixin Lai
Jing Wu
Suiyao Chen
Yucheng Zhou
N. Hovakimyan
MedIm
94
31
0
26 Mar 2024
Learning To Guide Human Decision Makers With Vision-Language Models
Learning To Guide Human Decision Makers With Vision-Language Models
Debodeep Banerjee
Stefano Teso
Burcu Sayin
Andrea Passerini
108
1
0
25 Mar 2024
MedCycle: Unpaired Medical Report Generation via Cycle-Consistency
MedCycle: Unpaired Medical Report Generation via Cycle-Consistency
Elad Hirsch
Gefen Dawidowicz
A. Tal
MedIm
74
2
0
20 Mar 2024
FissionFusion: Fast Geometric Generation and Hierarchical Souping for
  Medical Image Analysis
FissionFusion: Fast Geometric Generation and Hierarchical Souping for Medical Image Analysis
Santosh Sanjeev
Nuren Zhaksylyk
Ibrahim Almakky
Anees Ur Rehman Hashmi
Mohammad Areeb Qazi
Mohammad Yaqub
133
3
0
20 Mar 2024
Deep learning with noisy labels in medical prediction problems: a
  scoping review
Deep learning with noisy labels in medical prediction problems: a scoping review
Yishu Wei
Yu Deng
Cong Sun
Mingquan Lin
Hongmei Jiang
Yifan Peng
NoLa
57
6
0
19 Mar 2024
MEDBind: Unifying Language and Multimodal Medical Data Embeddings
MEDBind: Unifying Language and Multimodal Medical Data Embeddings
Yuan Gao
Sangwook Kim
David E Austin
Chris McIntosh
109
3
0
19 Mar 2024
Eye-gaze Guided Multi-modal Alignment for Medical Representation
  Learning
Eye-gaze Guided Multi-modal Alignment for Medical Representation Learning
Chong Ma
Hanqi Jiang
Wenting Chen
Yiwei Li
Zihao Wu
...
Dajiang Zhu
Tuo Zhang
Dinggang Shen
Tianming Liu
Xiang Li
39
1
0
19 Mar 2024
A Disease Labeler for Chinese Chest X-Ray Report Generation
A Disease Labeler for Chinese Chest X-Ray Report Generation
Mengwei Wang
Ruixin Yan
Zeyi Hou
Ning Lang
Xiuzhuang Zhou
41
0
0
18 Mar 2024
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks
MedMerge: Merging Models for Effective Transfer Learning to Medical Imaging Tasks
Ibrahim Almakky
Santosh Sanjeev
Anees Ur Rehman Hashmi
Mohammad Areeb Qazi
Mohammad Yaqub
Mohammad Yaqub
FedMLMoMe
149
4
0
18 Mar 2024
Regularizing CNNs using Confusion Penalty Based Label Smoothing for
  Histopathology Images
Regularizing CNNs using Confusion Penalty Based Label Smoothing for Histopathology Images
Somenath Kuiry
Alaka Das
M. Nasipuri
N. Das
77
0
0
16 Mar 2024
Improving Medical Multi-modal Contrastive Learning with Expert
  Annotations
Improving Medical Multi-modal Contrastive Learning with Expert Annotations
Yogesh Kumar
Pekka Marttinen
MedImVLM
88
11
0
15 Mar 2024
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