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

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
ArXivPDFHTML

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

50 / 759 papers shown
Title
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic
  Tasks with Radiological Images
A Survey of the Impact of Self-Supervised Pretraining for Diagnostic Tasks with Radiological Images
Blake Vanberlo
Jesse Hoey
Alexander Wong
SSL
LM&MA
18
2
0
05 Sep 2023
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Augmenting Chest X-ray Datasets with Non-Expert Annotations
Veronika Cheplygina
Trine Eriksen
Dovile Juodelyte
V. Cheplygina
Amelia Jiménez-Sánchez
39
3
0
05 Sep 2023
An Empirical Analysis for Zero-Shot Multi-Label Classification on
  COVID-19 CT Scans and Uncurated Reports
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports
Ethan Dack
Lorenzo Brigato
Matthew McMurray
Matthias Fontanellaz
Thomas Frauenfelder
...
Thomas Geiser
M. Funke-Chambour
Andreas Christe
L. Ebner
Stavroula Mougiakakou
30
2
0
04 Sep 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot
  Classification
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification
Marzi Heidari
Abdullah Alchihabi
Qing En
Yuhong Guo
VLM
34
0
0
04 Sep 2023
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random
  Discriminative Subspaces
Few-shot Diagnosis of Chest x-rays Using an Ensemble of Random Discriminative Subspaces
Kshitiz
Garvit Garg
Angshuman Paul
6
1
0
31 Aug 2023
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning
Unleash Model Potential: Bootstrapped Meta Self-supervised Learning
Wenwen Qiang
Zeen Song
Wenwen Qiang
Changwen Zheng
SSL
22
1
0
28 Aug 2023
ViLLA: Fine-Grained Vision-Language Representation Learning from
  Real-World Data
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data
M. Varma
Jean-Benoit Delbrouck
Sarah Hooper
Akshay S. Chaudhari
C. Langlotz
VLM
CoGe
45
5
0
22 Aug 2023
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of
  Biases-Specific Experts
Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts
Jiaxuan Li
D. Vo
Hideki Nakayama
26
3
0
19 Aug 2023
How Does Pruning Impact Long-Tailed Multi-Label Medical Image
  Classifiers?
How Does Pruning Impact Long-Tailed Multi-Label Medical Image Classifiers?
G. Holste
Ziyu Jiang
Ajay Jaiswal
Maria Hanna
Shlomo Minkowitz
...
Ying Ding
Ronald M. Summers
George Shih
Yifan Peng
Zhangyang Wang
31
1
0
17 Aug 2023
Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays
Bag of Tricks for Long-Tailed Multi-Label Classification on Chest X-Rays
Feng Hong
Tianjie Dai
Jiangchao Yao
Ya Zhang
Yanfeng Wang
25
0
0
17 Aug 2023
Enhancing Network Initialization for Medical AI Models Using
  Large-Scale, Unlabeled Natural Images
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images
Soroosh Tayebi Arasteh
Leo Misera
Jakob Nikolas Kather
Daniel Truhn
S. Nebelung
33
8
0
15 Aug 2023
Are Sex-based Physiological Differences the Cause of Gender Bias for
  Chest X-ray Diagnosis?
Are Sex-based Physiological Differences the Cause of Gender Bias for Chest X-ray Diagnosis?
Nina Weng
Siavash Bigdeli
Eike Petersen
Aasa Feragen
38
9
0
09 Aug 2023
When More is Less: Incorporating Additional Datasets Can Hurt
  Performance By Introducing Spurious Correlations
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations
Rhys Compton
Lily Zhang
R. Borsoi
Rajesh Ranganath
OOD
41
10
0
08 Aug 2023
CheXFusion: Effective Fusion of Multi-View Features using Transformers
  for Long-Tailed Chest X-Ray Classification
CheXFusion: Effective Fusion of Multi-View Features using Transformers for Long-Tailed Chest X-Ray Classification
Dongkyu Kim
ViT
MedIm
23
11
0
08 Aug 2023
Improving Mass Detection in Mammography Images: A Study of Weakly
  Supervised Learning and Class Activation Map Methods
Improving Mass Detection in Mammography Images: A Study of Weakly Supervised Learning and Class Activation Map Methods
Vicente Sampaio
F. Cordeiro
22
3
0
07 Aug 2023
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities
Weihao Yu
Zhengyuan Yang
Linjie Li
Jianfeng Wang
Kevin Qinghong Lin
Zicheng Liu
Xinchao Wang
Lijuan Wang
MLLM
60
618
0
04 Aug 2023
Towards Generalist Foundation Model for Radiology by Leveraging
  Web-scale 2D&3D Medical Data
Towards Generalist Foundation Model for Radiology by Leveraging Web-scale 2D&3D Medical Data
Chaoyi Wu
Xiaoman Zhang
Ya Zhang
Yanfeng Wang
Weidi Xie
MedIm
LM&MA
37
144
0
04 Aug 2023
Partial Label Supervision for Agnostic Generative Noisy Label Learning
Partial Label Supervision for Agnostic Generative Noisy Label Learning
Fengbei Liu
Chong Wang
Yuanhong Chen
Yuyuan Liu
G. Carneiro
NoLa
32
1
0
02 Aug 2023
Adaptive Semantic Consistency for Cross-domain Few-shot Classification
Adaptive Semantic Consistency for Cross-domain Few-shot Classification
Hengchu Lu
Yuanjie Shao
Xiang Wang
Changxin Gao
33
1
0
01 Aug 2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with
  Orthogonal Projection of Gradients
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients
Sima Behpour
T. Doan
Xin Li
Wenbin He
Liangke Gou
Liu Ren
OODD
43
13
0
01 Aug 2023
Understanding Silent Failures in Medical Image Classification
Understanding Silent Failures in Medical Image Classification
Till J. Bungert
L. Kobelke
Paul F. Jaeger
UQCV
38
4
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
26
144
0
24 Jul 2023
Expert Knowledge-Aware Image Difference Graph Representation Learning
  for Difference-Aware Medical Visual Question Answering
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering
Xinyue Hu
Lin Gu
Qi A. An
Mengliang Zhang
Liangchen Liu
Kazuma Kobayashi
Tatsuya Harada
Ronald M. Summers
Yingying Zhu
MedIm
20
22
0
22 Jul 2023
Clinical Trial Active Learning
Clinical Trial Active Learning
Zoe Fowler
Kiran Kokilepersaud
Mohit Prabhushankar
Ghassan AlRegib
30
6
0
20 Jul 2023
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging
  Analysis
Revisiting Fine-Tuning Strategies for Self-supervised Medical Imaging Analysis
Muhammad Osama Khan
Yi Fang
30
3
0
20 Jul 2023
Deep learning for unsupervised domain adaptation in medical imaging:
  Recent advancements and future perspectives
Deep learning for unsupervised domain adaptation in medical imaging: Recent advancements and future perspectives
S. Kumari
Pravendra Singh
OOD
43
29
0
18 Jul 2023
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models
  and Latent Space Geometry Optimization
M-FLAG: Medical Vision-Language Pre-training with Frozen Language Models and Latent Space Geometry Optimization
Che Liu
Sibo Cheng
Chong Chen
Mengyun Qiao
Weitong Zhang
Anand Shah
Wenjia Bai
Rossella Arcucci
VLM
30
56
0
17 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
24
0
0
13 Jul 2023
End-to-End Supervised Multilabel Contrastive Learning
End-to-End Supervised Multilabel Contrastive Learning
A. Sajedi
Samir Khaki
Konstantinos N. Plataniotis
Mahdi S. Hosseini
SSL
31
8
0
08 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
18
19
0
06 Jul 2023
SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images
SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images
Sunder Ali Khowaja
K. Dev
Syed Muhammad Anwar
M. Linguraru
FedML
15
9
0
04 Jul 2023
Defending Against Poisoning Attacks in Federated Learning with
  Blockchain
Defending Against Poisoning Attacks in Federated Learning with Blockchain
Nanqing Dong
Zhipeng Wang
Jiahao Sun
Michael C. Kampffmeyer
William Knottenbelt
Eric P. Xing
OOD
AAML
33
18
0
02 Jul 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided
  Diffusion
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided Diffusion
Yingjun Du
Zehao Xiao
Tianran Ouyang
Cees G. M. Snoek
DiffM
31
11
0
26 Jun 2023
MedLSAM: Localize and Segment Anything Model for 3D CT Images
MedLSAM: Localize and Segment Anything Model for 3D CT Images
Wenhui Lei
Xu Wei
Xiaofan Zhang
Kang Li
Shaoting Zhang
MedIm
31
3
0
26 Jun 2023
BMAD: Benchmarks for Medical Anomaly Detection
BMAD: Benchmarks for Medical Anomaly Detection
Jinan Bao
Hanshi Sun
Hanqiu Deng
Yinsheng He
Zhaoxiang Zhang
Xingyu Li
MedIm
28
21
0
20 Jun 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
33
10
0
20 Jun 2023
Replace and Report: NLP Assisted Radiology Report Generation
Replace and Report: NLP Assisted Radiology Report Generation
Kaveri Kale
P. Bhattacharyya
Kshitij Sharad Jadhav
LM&MA
MedIm
19
11
0
19 Jun 2023
Dual Adaptive Representation Alignment for Cross-domain Few-shot
  Learning
Dual Adaptive Representation Alignment for Cross-domain Few-shot Learning
Yifan Zhao
Tong Zhang
Jia Li
Yonghong Tian
46
19
0
18 Jun 2023
MedFMC: A Real-world Dataset and Benchmark For Foundation Model
  Adaptation in Medical Image Classification
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image Classification
Dequan Wang
Xiaosong Wang
Lilong Wang
Mengzhang Li
Q. Da
...
Qi Duan
Jie Zhao
Kang Li
Yu Qiao
Shaoting Zhang
VLM
MedIm
33
33
0
16 Jun 2023
A Comparison of Self-Supervised Pretraining Approaches for Predicting
  Disease Risk from Chest Radiograph Images
A Comparison of Self-Supervised Pretraining Approaches for Predicting Disease Risk from Chest Radiograph Images
Yanru Chen
Michael T Lu
V. Raghu
SSL
26
0
0
15 Jun 2023
Enhancing COVID-19 Diagnosis through Vision Transformer-Based Analysis
  of Chest X-ray Images
Enhancing COVID-19 Diagnosis through Vision Transformer-Based Analysis of Chest X-ray Images
Sultan Zavrak
24
0
0
12 Jun 2023
Preserving privacy in domain transfer of medical AI models comes at no
  performance costs: The integral role of differential privacy
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy
Soroosh Tayebi Arasteh
Mahshad Lotfinia
T. Nolte
Marwin Saehn
P. Isfort
Christiane Kuhl
S. Nebelung
Georgios Kaissis
Daniel Truhn
MedIm
26
8
0
10 Jun 2023
WindowNet: Learnable Windows for Chest X-ray Classification
WindowNet: Learnable Windows for Chest X-ray Classification
Alessandro Wollek
Sardi Hyska
B. Sabel
Michael Ingrisch
Tobias Lasser
26
2
0
09 Jun 2023
Automated Labeling of German Chest X-Ray Radiology Reports using Deep
  Learning
Automated Labeling of German Chest X-Ray Radiology Reports using Deep Learning
Alessandro Wollek
Philip Haitzer
Thomas Sedlmeyr
Sardi Hyska
J. Rueckel
B. Sabel
Michael Ingrisch
Tobias Lasser
25
0
0
09 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
FedML
OOD
42
114
0
09 Jun 2023
On the Challenges and Perspectives of Foundation Models for Medical
  Image Analysis
On the Challenges and Perspectives of Foundation Models for Medical Image Analysis
Shaoting Zhang
Dimitris N. Metaxas
LM&MA
VLM
MedIm
AI4CE
42
128
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
27
4
0
05 Jun 2023
Deep Reinforcement Learning Framework for Thoracic Diseases
  Classification via Prior Knowledge Guidance
Deep Reinforcement Learning Framework for Thoracic Diseases Classification via Prior Knowledge Guidance
Weizhi Nie
Chen Zhang
Dan Song
Lina Zhao
Yunpeng Bai
Keliang Xie
Anan Liu
33
0
0
02 Jun 2023
Using generative AI to investigate medical imagery models and datasets
Using generative AI to investigate medical imagery models and datasets
Oran Lang
Doron Stupp
I. Traynis
Heather Cole-Lewis
Chloe R. Bennett
...
Avinatan Hassidim
Yossi Matias
Yun-Hui Liu
N. Hammel
Boris Babenko
MedIm
24
21
0
01 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
P. Yi
Vishwa S. Parekh
MedIm
18
0
0
24 May 2023
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