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ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on
  Weakly-Supervised Classification and Localization of Common Thorax Diseases
v1v2v3v4v5 (latest)

ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases

5 May 2017
Xiaosong Wang
Yifan Peng
Le Lu
Zhiyong Lu
M. Bagheri
Ronald M. Summers
    LM&MA
ArXiv (abs)PDFHTML

Papers citing "ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax Diseases"

50 / 393 papers shown
Title
Fact-Checking of AI-Generated Reports
Fact-Checking of AI-Generated Reports
Razi Mahmood
Diego Machado Reyes
Ge Wang
Mannudeep Kalra
Pingkun Yan
MedIm
73
6
0
27 Jul 2023
Deep Learning Approaches for Data Augmentation in Medical Imaging: A
  Review
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
Aghiles Kebaili
J. Lapuyade-Lahorgue
S. Ruan
MedIm
88
157
0
24 Jul 2023
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using
  Residual Encoder-Decoder Networks
Full-resolution Lung Nodule Segmentation from Chest X-ray Images using Residual Encoder-Decoder Networks
M. J. Horry
Subrata Chakraborty
B. Pradhan
M. Paul
Jing Zhu
P. Barua
Usha R. Acharya
Fang Chen
Jianlong Zhou
MedIm
51
0
0
13 Jul 2023
CheXmask: a large-scale dataset of anatomical segmentation masks for
  multi-center chest x-ray images
CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
Nicolás Gaggion
Candelaria Mosquera
Lucas Mansilla
Julia Mariel Saidman
M. Aineseder
Diego H. Milone
Enzo Ferrante
64
21
0
06 Jul 2023
An empirical study of using radiology reports and images to improve ICU
  mortality prediction
An empirical study of using radiology reports and images to improve ICU mortality prediction
Ming-Yen Lin
Song Wang
Ying Ding
Lihui Zhao
Fei Wang
Yifan Peng
53
11
0
20 Jun 2023
Federated Learning for Medical Image Analysis: A Survey
Federated Learning for Medical Image Analysis: A Survey
Hao Guan
Pew-Thian Yap
Andrea Bozoki
Mingxia Liu
FedMLOOD
126
140
0
09 Jun 2023
German CheXpert Chest X-ray Radiology Report Labeler
German CheXpert Chest X-ray Radiology Report Labeler
Alessandro Wollek
Sardi Hyska
Thomas Sedlmeyr
Philip Haitzer
J. Rueckel
B. Sabel
Michael Ingrisch
Tobias Lasser
46
4
0
05 Jun 2023
ISLE: An Intelligent Streaming Framework for High-Throughput AI
  Inference in Medical Imaging
ISLE: An Intelligent Streaming Framework for High-Throughput AI Inference in Medical Imaging
Pranav Kulkarni
Sean Garin
Adway U. Kanhere
E. Siegel
Paul H. Yi
Vishwa S. Parekh
MedIm
23
1
0
24 May 2023
PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering
Xiaoman Zhang
Chaoyi Wu
Ziheng Zhao
Weixiong Lin
Ya Zhang
Yanfeng Wang
Weidi Xie
LM&MA
159
182
0
17 May 2023
Scalable Data Point Valuation in Decentralized Learning
Scalable Data Point Valuation in Decentralized Learning
Konstantin D. Pandl
Chun-Yin Huang
Ivan Beschastnikh
Xiaoxiao Li
Scott Thiebes
Ali Sunyaev
FedMLTDI
56
0
0
01 May 2023
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Towards Foundation Models and Few-Shot Parameter-Efficient Fine-Tuning for Volumetric Organ Segmentation
Julio Silva-Rodríguez
Jose Dolz
Ismail Ben Ayed
203
14
0
29 Mar 2023
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Image Quality-aware Diagnosis via Meta-knowledge Co-embedding
Haoxuan Che
Si Chen
Haoxing Chen
89
16
0
27 Mar 2023
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray
  Synthesis
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis
Tobias Weber
Michael Ingrisch
Bernd Bischl
David Rügamer
DiffMMedIm
72
28
0
20 Mar 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey
Huali Xu
Shuaifeng Zhi
Shuzhou Sun
Vishal M. Patel
Li Liu
130
14
0
15 Mar 2023
Choosing Public Datasets for Private Machine Learning via Gradient
  Subspace Distance
Choosing Public Datasets for Private Machine Learning via Gradient Subspace Distance
Xin Gu
Gautam Kamath
Zhiwei Steven Wu
74
14
0
02 Mar 2023
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive
  Learning
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning
Huiwon Jang
Hankook Lee
Jinwoo Shin
VLMSSL
97
18
0
02 Mar 2023
Inherently Interpretable Multi-Label Classification Using Class-Specific
  Counterfactuals
Inherently Interpretable Multi-Label Classification Using Class-Specific Counterfactuals
Susu Sun
S. Woerner
Andreas Maier
Lisa M. Koch
Christian F. Baumgartner
FAtt
98
17
0
01 Mar 2023
Pseudo Label-Guided Model Inversion Attack via Conditional Generative
  Adversarial Network
Pseudo Label-Guided Model Inversion Attack via Conditional Generative Adversarial Network
Xiaojian Yuan
Kejiang Chen
Jie Zhang
Weiming Zhang
Neng H. Yu
Yangyi Zhang
68
39
0
20 Feb 2023
Beyond Distribution Shift: Spurious Features Through the Lens of
  Training Dynamics
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics
Nihal Murali
A. Puli
Ke Yu
Rajesh Ranganath
Kayhan Batmanghelich
AAML
84
10
0
18 Feb 2023
Deep learning-based lung segmentation and automatic regional template in
  chest X-ray images for pediatric tuberculosis
Deep learning-based lung segmentation and automatic regional template in chest X-ray images for pediatric tuberculosis
Daniel Capellán-Martín
Juan J. Gómez-Valverde
R. Sanchez-Jacob
D. Bermejo-Peláez
Lara García-Delgado
E. López-Varela
María J. Ledesma-Carbayo
LM&MA
31
3
0
31 Jan 2023
Discovering and Mitigating Visual Biases through Keyword Explanation
Discovering and Mitigating Visual Biases through Keyword Explanation
Younghyun Kim
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jaeho Lee
Jinwoo Shin
153
34
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
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
118
120
0
05 Jan 2023
Asymmetric Co-teaching with Multi-view Consensus for Noisy Label
  Learning
Asymmetric Co-teaching with Multi-view Consensus for Noisy Label Learning
Fengbei Liu
Yuanhong Chen
Chong Wang
Yu-Ching Tain
G. Carneiro
NoLa
93
0
0
01 Jan 2023
Multimodal Explainability via Latent Shift applied to COVID-19
  stratification
Multimodal Explainability via Latent Shift applied to COVID-19 stratification
V. Guarrasi
L. Tronchin
Domenico Albano
E. Faiella
Deborah Fazzini
D. Santucci
Paolo Soda
77
24
0
28 Dec 2022
Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings,
  and Future Directions
Knowledge-Guided Data-Centric AI in Healthcare: Progress, Shortcomings, and Future Directions
Edward Y. Chang
MedIm
52
7
0
27 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
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
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning
Yuyang Gao
Siyi Gu
Junji Jiang
S. Hong
Dazhou Yu
Liang Zhao
76
42
0
07 Dec 2022
Joint Self-Supervised Image-Volume Representation Learning with
  Intra-Inter Contrastive Clustering
Joint Self-Supervised Image-Volume Representation Learning with Intra-Inter Contrastive Clustering
D. M. Nguyen
Hoangvu Nguyen
M. T. N. Truong
T. Cao
Binh Duc Nguyen
Nhat Ho
Paul Swoboda
Shadi Albarqouni
P. Xie
Daniel Sonntag
SSL
76
21
0
04 Dec 2022
Interactive Visual Feature Search
Interactive Visual Feature Search
Devon Ulrich
Ruth C. Fong
FAtt
109
0
0
28 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
48
0
0
22 Nov 2022
Decentralized Federated Learning: Fundamentals, State of the Art,
  Frameworks, Trends, and Challenges
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán
Mario Quiles Pérez
Pedro Miguel Sánchez Sánchez
Sergio López Bernal
Gérome Bovet
M. Pérez
Gregorio Martínez Pérez
Alberto Huertas Celdrán
FedML
99
257
0
15 Nov 2022
The Lean Data Scientist: Recent Advances towards Overcoming the Data
  Bottleneck
The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck
Chen Shani
Jonathan Zarecki
Dafna Shahaf
41
6
0
15 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
Analysing the effectiveness of a generative model for semi-supervised
  medical image segmentation
Analysing the effectiveness of a generative model for semi-supervised medical image segmentation
Margherita Rosnati
Fabio De Sousa Ribeiro
M. Monteiro
Daniel Coelho De Castro
Ben Glocker
GANMedIm
45
2
0
03 Nov 2022
Adversarially Robust Medical Classification via Attentive Convolutional
  Neural Networks
Adversarially Robust Medical Classification via Attentive Convolutional Neural Networks
I. Wasserman
OODMedImAAML
76
0
0
26 Oct 2022
On Feature Learning in the Presence of Spurious Correlations
On Feature Learning in the Presence of Spurious Correlations
Pavel Izmailov
Polina Kirichenko
Nate Gruver
A. Wilson
127
129
0
20 Oct 2022
Federated Learning with Privacy-Preserving Ensemble Attention
  Distillation
Federated Learning with Privacy-Preserving Ensemble Attention Distillation
Xuan Gong
Liangchen Song
Rishi Vedula
Abhishek Sharma
Meng Zheng
...
Arun Innanje
Terrence Chen
Junsong Yuan
David Doermann
Ziyan Wu
FedML
87
28
0
16 Oct 2022
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for
  Domain Generalization
Mix and Reason: Reasoning over Semantic Topology with Data Mixing for Domain Generalization
Chaoqi Chen
Luyao Tang
Feng Liu
Gangming Zhao
Yue Huang
Yizhou Yu
105
32
0
14 Oct 2022
Self-Attention Message Passing for Contrastive Few-Shot Learning
Self-Attention Message Passing for Contrastive Few-Shot Learning
Ojas Kishorkumar Shirekar
Ashutosh Kumar Singh
Hadi Jamali Rad
82
6
0
12 Oct 2022
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual
  Representation Learning
Multi-Granularity Cross-modal Alignment for Generalized Medical Visual Representation Learning
Fuying Wang
Yuyin Zhou
Shujun Wang
V. Vardhanabhuti
Lequan Yu
117
149
0
12 Oct 2022
Self-supervised debiasing using low rank regularization
Self-supervised debiasing using low rank regularization
Geon Yeong Park
Chanyong Jung
Sangmin Lee
Jong Chul Ye
Sang Wan Lee
CMLSSL
102
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Dual-distribution discrepancy with self-supervised refinement for
  anomaly detection in medical images
Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images
Yu Cai
Hao Chen
Xin Yang
Yu Zhou
Kwang-Ting Cheng
131
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09 Oct 2022
Evaluating the Performance of StyleGAN2-ADA on Medical Images
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M. Woodland
J. Wood
B. Anderson
Suprateek Kundu
E. Lin
...
S. Yedururi
Briand De
Yuan-Mao Lin
Ankit B. Patel
Kristy K. Brock
MedIm
125
22
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07 Oct 2022
Detailed Annotations of Chest X-Rays via CT Projection for Report
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Detailed Annotations of Chest X-Rays via CT Projection for Report Understanding
C. Seibold
Simon Reiß
Saquib Sarfraz
M. Fink
Victoria L. Mayer
Jan Sellner
Moon S. Kim
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Rainer Stiefelhagen
106
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Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond
Transfer Learning on Electromyography (EMG) Tasks: Approaches and Beyond
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OODMedIm
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Deep Learning-based Anonymization of Chest Radiographs: A
  Utility-preserving Measure for Patient Privacy
Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy
Kai Packhauser
Sebastian Gündel
Florian Thamm
Felix Denzinger
Andreas Maier
56
4
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23 Sep 2022
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