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

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

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
Medical Unlearnable Examples: Securing Medical Data from Unauthorized Training via Sparsity-Aware Local Masking
Medical Unlearnable Examples: Securing Medical Data from Unauthorized Training via Sparsity-Aware Local Masking
Weixiang Sun
Yixin Liu
Zhiling Yan
Kaidi Xu
Lichao Sun
AAML
93
3
0
15 Mar 2024
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training
RadCLIP: Enhancing Radiologic Image Analysis through Contrastive Language-Image Pre-training
Zhixiu Lu
Hailong Li
N. Parikh
Jonathan R. Dillman
Lili He
MedImVLM
124
1
0
15 Mar 2024
MeDSLIP: Medical Dual-Stream Language-Image Pre-training with Pathology-Anatomy Semantic Alignment
MeDSLIP: Medical Dual-Stream Language-Image Pre-training with Pathology-Anatomy Semantic Alignment
Wenrui Fan
M. N. I. Suvon
Shuo Zhou
Xianyuan Liu
S. Alabed
V. Osmani
Andrew J Swift
Chen Chen
Haiping Lu
MedImVLMLM&MA
108
3
0
15 Mar 2024
Anatomical Structure-Guided Medical Vision-Language Pre-training
Anatomical Structure-Guided Medical Vision-Language Pre-training
Qingqiu Li
Xiaohan Yan
Jilan Xu
Runtian Yuan
Yuejie Zhang
Rui Feng
Quanli Shen
Xiaobo Zhang
Shujun Wang
97
6
0
14 Mar 2024
XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model
XReal: Realistic Anatomy and Pathology-Aware X-ray Generation via Controllable Diffusion Model
Anees Ur Rehman Hashmi
Ibrahim Almakky
Mohammad Areeb Qazi
Santosh Sanjeev
Vijay Ram Papineni
Dwarikanath Mahapatra
Mohammad Yaqub
MedIm
88
6
0
14 Mar 2024
Counterfactual contrastive learning: robust representations via causal image synthesis
Counterfactual contrastive learning: robust representations via causal image synthesis
Mélanie Roschewitz
Fabio De Sousa Ribeiro
Tian Xia
G. Khara
Ben Glocker
OOD
94
5
0
14 Mar 2024
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
Exploiting Structural Consistency of Chest Anatomy for Unsupervised Anomaly Detection in Radiography Images
Tiange Xiang
Yixiao Zhang
Yongyi Lu
Alan Yuille
Chaoyi Zhang
Weidong Cai
Zongwei Zhou
87
3
0
13 Mar 2024
Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
Towards a clinically accessible radiology foundation model: open-access and lightweight, with automated evaluation
Juan Manuel Zambrano Chaves
Shih-Cheng Huang
Yanbo Xu
Hanwen Xu
Naoto Usuyama
...
Akshay S. Chaudhari
Serena Yeung-Levy
Curtis P. Langlotz
Sheng Wang
Hoifung Poon
VLMLM&MA
88
16
0
12 Mar 2024
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework
Decomposing Disease Descriptions for Enhanced Pathology Detection: A Multi-Aspect Vision-Language Pre-training Framework
Vu Minh Hieu Phan
Yutong Xie
Yuankai Qi
Lingqiao Liu
Liyang Liu
Bowen Zhang
Zhibin Liao
Qi Wu
Minh-Son To
Johan Verjans
128
14
0
12 Mar 2024
Proxy Methods for Domain Adaptation
Proxy Methods for Domain Adaptation
Katherine Tsai
Stephen Pfohl
Olawale Salaudeen
Nicole Chiou
Matt J. Kusner
Alexander DÁmour
Oluwasanmi Koyejo
Arthur Gretton
OOD
86
3
0
12 Mar 2024
FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation
FluoroSAM: A Language-promptable Foundation Model for Flexible X-ray Image Segmentation
Benjamin Killeen
Liam J. Wang
Han-shen Zhang
Mehran Armand
Russell H. Taylor
Dave Dreizin
Greg Osgood
Mathias Unberath
MedIm
62
3
0
12 Mar 2024
Visual Privacy Auditing with Diffusion Models
Visual Privacy Auditing with Diffusion Models
Kristian Schwethelm
Johannes Kaiser
Moritz Knolle
Daniel Rueckert
Daniel Rueckert
Alexander Ziller
DiffMAAML
103
0
0
12 Mar 2024
CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging
CT2Rep: Automated Radiology Report Generation for 3D Medical Imaging
Ibrahim Ethem Hamamci
Sezgin Er
Bjoern Menze
MedIm
100
29
0
11 Mar 2024
Leveraging Foundation Models for Content-Based Image Retrieval in Radiology
Leveraging Foundation Models for Content-Based Image Retrieval in Radiology
Stefan Denner
David Zimmerer
Dimitrios Bounias
Markus Bujotzek
Shuhan Xiao
...
Lisa Kausch
Philipp Schader
Tobias Penzkofer
Paul F. Jäger
Klaus H. Maier-Hein
MedImVLM
59
8
0
11 Mar 2024
Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
Debiased Noise Editing on Foundation Models for Fair Medical Image Classification
Ruinan Jin
Wenlong Deng
Minghui Chen
Xiaoxiao Li
MedIm
79
2
0
10 Mar 2024
Scene Graph Aided Radiology Report Generation
Scene Graph Aided Radiology Report Generation
Jun Wang
Lixing Zhu
A. Bhalerao
Yulan He
MedIm
71
1
0
08 Mar 2024
How Well Do Multi-modal LLMs Interpret CT Scans? An Auto-Evaluation Framework for Analyses
How Well Do Multi-modal LLMs Interpret CT Scans? An Auto-Evaluation Framework for Analyses
Qingqing Zhu
Benjamin Hou
T. Mathai
Pritam Mukherjee
Qiao Jin
Preslav Nakov
Zhizheng Wang
Ruida Cheng
Ronald M. Summers
Zhiyong Lu
72
0
0
08 Mar 2024
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder
MedFLIP: Medical Vision-and-Language Self-supervised Fast Pre-Training with Masked Autoencoder
Lei Li
Tianfang Zhang
Xinglin Zhang
Jiaqi Liu
Bingqi Ma
Yan-chun Luo
Tao Chen
MedIm
69
0
0
07 Mar 2024
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification
Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification
Ricardo Bigolin Lanfredi
Pritam Mukherjee
Ronald M. Summers
66
4
0
06 Mar 2024
Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review
Vision-Language Models for Medical Report Generation and Visual Question Answering: A Review
Iryna Hartsock
Ghulam Rasool
99
80
0
04 Mar 2024
A Survey on Evaluation of Out-of-Distribution Generalization
A Survey on Evaluation of Out-of-Distribution Generalization
Han Yu
Jiashuo Liu
Xingxuan Zhang
Jiayun Wu
Peng Cui
OOD
101
9
0
04 Mar 2024
CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification
CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification
Zihang Jiang
Qingsong Yao
Zihang Jiang
Rongsheng Wang
Zhiyang He
Xiaodong Tao
S. Kevin Zhou
MedIm
93
16
0
27 Feb 2024
Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging
Demographic Bias of Expert-Level Vision-Language Foundation Models in Medical Imaging
Yuzhe Yang
Yujia Liu
Xin Liu
A. Gulhane
Domenico Mastrodicasa
Wei Wu
Edward J Wang
Dushyant W. Sahani
Shwetak N. Patel
100
9
0
22 Feb 2024
Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning
Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays using Self-Supervised Learning
Daniel Capellán-Martín
Abhijeet Parida
Juan J. Gómez-Valverde
Ramon Sanchez-Jacob
Pooneh Roshanitabrizi
M. Linguraru
María J. Ledesma-Carbayo
S. M. Anwar
69
2
0
22 Feb 2024
Spurious Correlations in Machine Learning: A Survey
Spurious Correlations in Machine Learning: A Survey
Wenqian Ye
Guangtao Zheng
Xu Cao
Yunsheng Ma
Aidong Zhang
OODAAMLCML
113
43
0
20 Feb 2024
Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports
Is Open-Source There Yet? A Comparative Study on Commercial and Open-Source LLMs in Their Ability to Label Chest X-Ray Reports
Felix J. Dorfner
Liv Jürgensen
Leonhard Donle
Fares Al Mohamad
Tobias R. Bodenmann
...
Thomas Schultz
Albert E. Kim
J. Merkow
Keno K. Bressem
Christopher P. Bridge
LM&MAVLM
44
8
0
19 Feb 2024
Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling
Weakly Supervised Object Detection in Chest X-Rays with Differentiable ROI Proposal Networks and Soft ROI Pooling
Philip Muller
Felix Meissen
Georgios Kaissis
Daniel Rueckert
57
3
0
19 Feb 2024
Separating common from salient patterns with Contrastive Representation Learning
Separating common from salient patterns with Contrastive Representation Learning
Robin Louiset
Edouard Duchesnay
Antoine Grigis
Pietro Gori
SSLDRL
102
1
0
19 Feb 2024
Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based Metric
Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based Metric
Sayeh Gholipour Picha
D. Chanti
A. Caplier
68
3
0
19 Feb 2024
Learning Low-Rank Feature for Thorax Disease Classification
Learning Low-Rank Feature for Thorax Disease Classification
Rajeev Goel
Utkarsh Nath
Yancheng Wang
Alvin C. Silva
Teresa Wu
Yingzhen Yang
87
0
0
14 Feb 2024
A survey of recent methods for addressing AI fairness and bias in biomedicine
A survey of recent methods for addressing AI fairness and bias in biomedicine
Yifan Yang
Mingquan Lin
Han Zhao
Yifan Peng
Furong Huang
Zhiyong Lu
90
19
0
13 Feb 2024
XProspeCT: CT Volume Generation from Paired X-Rays
XProspeCT: CT Volume Generation from Paired X-Rays
Benjamin Paulson
Joshua Goldshteyn
Sydney Balboni
John Cisler
Andrew Crisler
Natalia Bukowski
Julia Kalish
Theodore Colwell
MedIm
28
1
0
11 Feb 2024
Copycats: the many lives of a publicly available medical imaging dataset
Copycats: the many lives of a publicly available medical imaging dataset
Amelia Jiménez-Sánchez
Natalia-Rozalia Avlona
Dovile Juodelyte
Théo Sourget
Caroline Vang-Larsen
Anna Rogers
Hubert Dariusz Zajkac
Veronika Cheplygina
107
2
0
09 Feb 2024
An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs
An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs
Patrick Wienholt
Alexander Hermans
Firas Khader
B. Puladi
Bastian Leibe
Christiane Kuhl
S. Nebelung
Daniel Truhn
56
1
0
08 Feb 2024
What limits performance of weakly supervised deep learning for chest CT classification?
What limits performance of weakly supervised deep learning for chest CT classification?
F. I. Tushar
Vincent M. DÁnniballe
Geoffrey D. Rubin
Joseph Y. Lo
44
0
0
06 Feb 2024
Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning
Exploring Low-Resource Medical Image Classification with Weakly Supervised Prompt Learning
Fudan Zheng
Jindong Cao
Weijiang Yu
Zhiguang Chen
Nong Xiao
Yutong Lu
VLMMedIm
53
18
0
06 Feb 2024
Intensive Vision-guided Network for Radiology Report Generation
Intensive Vision-guided Network for Radiology Report Generation
Fudan Zheng
Mengfei Li
Ying Wang
Weijiang Yu
Ruixuan Wang
Zhiguang Chen
Nong Xiao
Yutong Lu
151
1
0
06 Feb 2024
Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images
Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images
Xiaodan Xing
Huiyu Zhou
Yingying Fang
Guang Yang
MedIm
65
2
0
05 Feb 2024
[Citation needed] Data usage and citation practices in medical imaging conferences
[Citation needed] Data usage and citation practices in medical imaging conferences
Théo Sourget
Ahmet Akkocc
Stinna Winther
Christine Lyngbye Galsgaard
Amelia Jiménez-Sánchez
Dovile Juodelyte
Caroline Petitjean
Veronika Cheplygina
39
3
0
05 Feb 2024
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion
Xing Han
Huy Nguyen
Carl Harris
Nhat Ho
Suchi Saria
MoE
124
22
0
05 Feb 2024
Review of multimodal machine learning approaches in healthcare
Review of multimodal machine learning approaches in healthcare
"Felix H. Krones
Umar Marikkar
Guy Parsons
Adam Szmul
Adam Mahdi
107
32
0
04 Feb 2024
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
Zhe Li
Laurence T. Yang
Bocheng Ren
Xin Nie
Zhangyang Gao
Cheng Tan
Stan Z. Li
VLM
69
16
0
03 Feb 2024
Human Expertise in Algorithmic Prediction
Human Expertise in Algorithmic Prediction
Rohan Alur
Manish Raghavan
Devavrat Shah
49
1
0
01 Feb 2024
Can we Constrain Concept Bottleneck Models to Learn Semantically Meaningful Input Features?
Can we Constrain Concept Bottleneck Models to Learn Semantically Meaningful Input Features?
Jack Furby
Daniel Cunnington
Dave Braines
Alun D. Preece
85
4
0
01 Feb 2024
Generalizing GradCAM for Embedding Networks
Generalizing GradCAM for Embedding Networks
Mudit Bachhawat
74
1
0
01 Feb 2024
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data
Cong Fang
Adam Dziedzic
Lin Zhang
Laura Oliva
A. Verma
Fahad Razak
Nicolas Papernot
Bo Wang
OOD
45
14
0
31 Jan 2024
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels
Chak Fong Chong
Xinyi Fang
Jielong Guo
Yapeng Wang
Wei Ke
C. Lam
Sio-Kei Im
79
1
0
30 Jan 2024
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports
Leveraging Professional Radiologists' Expertise to Enhance LLMs' Evaluation for Radiology Reports
Qingqing Zhu
Preslav Nakov
Qiao Jin
Benjamin Hou
T. Mathai
Pritam Mukherjee
Xin Gao
Ronald M. Summers
Zhiyong Lu
LM&MA
56
6
0
29 Jan 2024
Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning
Improving Fairness of Automated Chest X-ray Diagnosis by Contrastive Learning
Mingquan Lin
Tianhao Li
Zhaoyi Sun
G. Holste
Ying Ding
Fei Wang
George Shih
Yifan Peng
57
2
0
25 Jan 2024
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Beyond Concept Bottleneck Models: How to Make Black Boxes Intervenable?
Sonia Laguna
Ricards Marcinkevics
Moritz Vandenhirtz
Julia E. Vogt
123
18
0
24 Jan 2024

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.