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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
Walking the Tightrope: Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning
Walking the Tightrope: Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning
Xiaoyu Yang
Jie Lu
En Yu
4
0
0
19 May 2025
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer
CheX-DS: Improving Chest X-ray Image Classification with Ensemble Learning Based on DenseNet and Swin Transformer
Xinran Li
Yu Liu
Xiujuan Xu
Xiaowei Zhao
ViT
MedIm
23
0
0
16 May 2025
On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical Imaging
On the Interplay of Human-AI Alignment,Fairness, and Performance Trade-offs in Medical Imaging
Haozhe Luo
Ziyu Zhou
Zixin Shu
Aurélie Pahud de Mortanges
Robert Berke
Mauricio Reyes
26
0
0
15 May 2025
UniCAD: Efficient and Extendable Architecture for Multi-Task Computer-Aided Diagnosis System
UniCAD: Efficient and Extendable Architecture for Multi-Task Computer-Aided Diagnosis System
Yitao Zhu
Yuan Yin
Zhenrong Shen
Zihao Zhao
Haiyu Song
Sheng Wang
Dinggang Shen
Qian Wang
MedIm
33
0
0
14 May 2025
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review
Abdullah
Tao Huang
Ickjai Lee
Euijoon Ahn
MedIm
26
0
0
09 May 2025
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
MTL-UE: Learning to Learn Nothing for Multi-Task Learning
Yi Yu
Song Xia
Siyuan Yang
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex Chichung Kot
46
0
0
08 May 2025
Structure Causal Models and LLMs Integration in Medical Visual Question Answering
Structure Causal Models and LLMs Integration in Medical Visual Question Answering
Zibo Xu
Qiang Li
Weizhi Nie
Weijie Wang
Anan Liu
CML
MedIm
47
0
0
05 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
152
0
0
04 May 2025
UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
Linshan Wu
Yuxiang Nie
Sunan He
Jiaxin Zhuang
Hao Chen
LM&MA
MedIm
75
0
0
30 Apr 2025
Bayesian Autoencoder for Medical Anomaly Detection: Uncertainty-Aware Approach for Brain 2 MRI Analysis
Bayesian Autoencoder for Medical Anomaly Detection: Uncertainty-Aware Approach for Brain 2 MRI Analysis
Dip Roy
UQCV
32
0
0
22 Apr 2025
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
CheXWorld: Exploring Image World Modeling for Radiograph Representation Learning
Yang Yue
Yulin Wang
Chenxin Tao
Pan Liu
Shiji Song
Gao Huang
MedIm
26
0
0
18 Apr 2025
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
Deep Learning Approaches for Medical Imaging Under Varying Degrees of Label Availability: A Comprehensive Survey
Siteng Ma
Honghui Du
Yu An
Jing Wang
Qinqin Wang
Haochang Wu
Aonghus Lawlor
Ruihai Dong
40
0
0
15 Apr 2025
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations
Boosting multi-demographic federated learning for chest x-ray analysis using general-purpose self-supervised representations
Mahshad Lotfinia
Arash Tayebiarasteh
Samaneh Samiei
Mehdi Joodaki
Soroosh Tayebi Arasteh
35
0
0
11 Apr 2025
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Radiology with Zero-Shot Multi-Task Capability
RadZero: Similarity-Based Cross-Attention for Explainable Vision-Language Alignment in Radiology with Zero-Shot Multi-Task Capability
Jonggwon Park
Soobum Kim
Byungmu Yoon
Kyoyun Choi
MedIm
38
0
0
10 Apr 2025
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
Julio Silva-Rodríguez
Jose Dolz
Ismail ben Ayed
VLM
MedIm
40
0
0
07 Apr 2025
Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation
Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation
Amit Rand
Hadi Ibrahim
MedIm
57
0
0
03 Apr 2025
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging
Abderrachid Hamrani
Anuradha Godavarty
MedIm
44
0
0
23 Mar 2025
CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification
CoE: Chain-of-Explanation via Automatic Visual Concept Circuit Description and Polysemanticity Quantification
Wenlong Yu
Qilong Wang
Chuang Liu
Dong Li
Q. Hu
LRM
60
0
0
19 Mar 2025
Generative AI for Software Architecture. Applications, Trends, Challenges, and Future Directions
Generative AI for Software Architecture. Applications, Trends, Challenges, and Future Directions
Matteo Esposito
Xiaozhou Li
Sergio Moreschini
Noman Ahmad
T. Cerný
Karthik Vaidhyanathan
Valentina Lenarduzzi
Davide Taibi
AI4CE
43
0
0
17 Mar 2025
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation
Jutika Borah
H. Singh
MedIm
48
0
0
14 Mar 2025
Classifying Long-tailed and Label-noise Data via Disentangling and Unlearning
Chen Shu
Mengke Li
Yiqun Zhang
Yang Lu
Bo Han
Yiu-ming Cheung
Hanzi Wang
NoLa
65
0
0
14 Mar 2025
Foundation X: Integrating Classification, Localization, and Segmentation through Lock-Release Pretraining Strategy for Chest X-ray Analysis
N. Islam
Dongao Ma
Jiaxuan Pang
Shivasakthi Senthil Velan
Michael B. Gotway
Jianming Liang
53
0
0
12 Mar 2025
LLaVA-RadZ: Can Multimodal Large Language Models Effectively Tackle Zero-shot Radiology Recognition?
Bangyan Li
Wenxuan Huang
Yunhang Shen
Yansen Wang
Shaohui Lin
...
Ling You
Yinqi Zhang
Ke Li
Xing Sun
Y. Sun
61
2
0
10 Mar 2025
Divide and Conquer Self-Supervised Learning for High-Content Imaging
Lucas Farndale
Paul Henderson
Edward W Roberts
Ke Yuan
SSL
63
0
0
10 Mar 2025
HyDA: Hypernetworks for Test Time Domain Adaptation in Medical Imaging Analysis
Doron Serebro
Tammy Riklin-Raviv
OOD
63
0
0
06 Mar 2025
Causally Reliable Concept Bottleneck Models
Giovanni De Felice
Arianna Casanova Flores
Francesco De Santis
Silvia Santini
Johannes Schneider
Pietro Barbiero
Alberto Termine
74
2
0
06 Mar 2025
Enhancing Collective Intelligence in Large Language Models Through Emotional Integration
Likith Kadiyala
Ramteja Sajja
Y. Sermet
Ibrahim Demir
185
0
0
05 Mar 2025
Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis
Yitao Zhu
Yuan Yin
Jiaming Li
Mengjie Xu
Zihao Zhao
Honglin Xiong
Sheng Wang
Qian Wang
MedIm
75
0
0
03 Mar 2025
Diagnosis of Patients with Viral, Bacterial, and Non-Pneumonia Based on Chest X-Ray Images Using Convolutional Neural Networks
Carlos Arizmendi
Jorge Pinto
Alejandro Arboleda
Hernando Gonzalez
53
1
0
03 Mar 2025
Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion
Daiki Nishiyama
H. Miyoshi
Noriaki Hashimoto
K. Ohshima
H. Hontani
I. Takeuchi
Jun Sakuma
44
0
0
02 Mar 2025
Artificially Generated Visual Scanpath Improves Multi-label Thoracic Disease Classification in Chest X-Ray Images
Ashish Verma
Aupendu Kar
Krishnendu Ghosh
S. K. Dhara
Debashis Sen
P. Biswas
MedIm
46
0
0
01 Mar 2025
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection
FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection
Silin Chen
Kangjian Di
Yichu Xu
Han-Jia Ye
Wenhan Luo
Ningmu Zou
FedML
45
0
0
28 Feb 2025
In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models
In-Model Merging for Enhancing the Robustness of Medical Imaging Classification Models
Hu Wang
Ibrahim Almakky
Congbo Ma
Numan Saeed
Mohammad Yaqub
MoMe
76
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27 Feb 2025
An Integrated Deep Learning Framework Leveraging NASNet and Vision Transformer with MixProcessing for Accurate and Precise Diagnosis of Lung Diseases
An Integrated Deep Learning Framework Leveraging NASNet and Vision Transformer with MixProcessing for Accurate and Precise Diagnosis of Lung Diseases
Sajjad Saleem
Muhammad Imran Sharif
ViT
37
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Fair Foundation Models for Medical Image Analysis: Challenges and Perspectives
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Dilermando Queiroz
Anderson Carlos
André Anjos
Lilian Berton
48
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MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields
MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields
Paul Friedrich
Florentin Bieder
P. Cattin
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66
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Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
F. Jonske
M. Kim
Enrico Nasca
J. Evers
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Michael Kamp
C. Seibold
Jan Egger
Jens Kleesiek
84
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Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
A. Chaddad
Yihang Wu
Yuchen Jiang
Ahmed Bouridane
Christian Desrosiers
71
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Fairness Analysis of CLIP-Based Foundation Models for X-Ray Image Classification
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Xiangyu Sun
Xiaoguang Zou
Yuanquan Wu
Guotai Wang
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73
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31 Jan 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
Yiyi Zhang
Ying Zheng
Xiaogang Xu
Jun Wang
SSL
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Review and Recommendations for using Artificial Intelligence in Intracoronary Optical Coherence Tomography Analysis
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Xu Chen
Yuan Huang
Benn Jessney
Jason Sangha
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Carola-Bibiane Schönlieb
Martin Bennett
M. Roberts
55
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Vision-Language Models for Automated Chest X-ray Interpretation: Leveraging ViT and GPT-2
Vision-Language Models for Automated Chest X-ray Interpretation: Leveraging ViT and GPT-2
Md. Rakibul Islam
Md. Zahid Hossain
Mustofa Ahmed
Most. Sharmin Sultana Samu
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40
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ACE: Anatomically Consistent Embeddings in Composition and Decomposition
ACE: Anatomically Consistent Embeddings in Composition and Decomposition
Ziyu Zhou
Haozhe Luo
M. Taher
Jiaxuan Pang
Xiaowei Ding
Michael B. Gotway
Jianming Liang
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53
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A Comprehensive Survey of Foundation Models in Medicine
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Wasif Khan
Seowung Leem
Kyle B. See
Joshua K. Wong
Shaoting Zhang
R. Fang
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Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
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Amirreza Fateh
Mohammad Reza Mohammadi
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Explaining the Behavior of Black-Box Prediction Algorithms with Causal Learning
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Numair Sani
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I. Shpitser
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RadGPT: Constructing 3D Image-Text Tumor Datasets
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Mehmet Can Yavuz
Kang Wang
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S. Decherchi
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