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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
A Narrative Review on Large AI Models in Lung Cancer Screening, Diagnosis, and Treatment Planning
A Narrative Review on Large AI Models in Lung Cancer Screening, Diagnosis, and Treatment Planning
Jiachen Zhong
Yiting Wang
Di Zhu
Ziwei Wang
LM&MAAI4CE
48
1
0
01 Jul 2025
Privacy-Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference
Privacy-Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference
Jonghun Kim
Gyeongdeok Jo
Shinyoung Ra
Hyunjin Park
28
0
0
18 Jun 2025
Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models
Frequency-Calibrated Membership Inference Attacks on Medical Image Diffusion Models
Xinkai Zhao
Yuta Tokuoka
Junichiro Iwasawa
Keita Oda
MedIm
15
0
0
17 Jun 2025
PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifiers
PictSure: Pretraining Embeddings Matters for In-Context Learning Image Classifiers
Lukas Schiesser
Cornelius Wolff
Sophie Haas
Simon Pukrop
VLM
18
0
0
16 Jun 2025
CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray
CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray
Mingquan Lin
G. Holste
Song Wang
Yiliang Zhou
Yishu Wei
...
Hao Chen
Adam Flanders
George Shih
Zhangyang Wang
Yifan Peng
LM&MA
23
0
0
09 Jun 2025
Full Conformal Adaptation of Medical Vision-Language Models
Full Conformal Adaptation of Medical Vision-Language Models
Julio Silva-Rodríguez
Leo Fillioux
P. Cournède
Maria Vakalopoulou
Stergios Christodoulidis
Ismail Ben Ayed
Jose Dolz
VLM
70
0
0
06 Jun 2025
Bayesian Inference for Correlated Human Experts and Classifiers
Bayesian Inference for Correlated Human Experts and Classifiers
Markelle Kelly
Alex Boyd
Sam Showalter
M. Steyvers
Padhraic Smyth
35
0
0
05 Jun 2025
Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays
Towards generating more interpretable counterfactuals via concept vectors: a preliminary study on chest X-rays
Bulat Maksudov
Kathleen Curran
Alessandra Mileo
MedIm
57
1
0
04 Jun 2025
Multiple Stochastic Prompt Tuning for Practical Cross-Domain Few Shot Learning
Multiple Stochastic Prompt Tuning for Practical Cross-Domain Few Shot Learning
Debarshi Brahma
Soma Biswas
VLM
49
0
0
04 Jun 2025
Random Registers for Cross-Domain Few-Shot Learning
Random Registers for Cross-Domain Few-Shot Learning
Shuai Yi
Yixiong Zou
Yuhua Li
Ruixuan Li
69
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0
03 Jun 2025
MedBookVQA: A Systematic and Comprehensive Medical Benchmark Derived from Open-Access Book
MedBookVQA: A Systematic and Comprehensive Medical Benchmark Derived from Open-Access Book
Sau Lai Yip
Sunan He
Yuxiang Nie
Shu Pui Chan
Yilin Ye
Sum Ying Lam
Hao-tao Chen
LM&MA
40
0
0
01 Jun 2025
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification
DeepChest: Dynamic Gradient-Free Task Weighting for Effective Multi-Task Learning in Chest X-ray Classification
Youssef Mohamed
Noran Mohamed
Khaled Abouhashad
Feilong Tang
Sara Atito
Shoaib Jameel
Imran Razzak
A. Zaky
63
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0
29 May 2025
Risk-Sensitive Conformal Prediction for Catheter Placement Detection in Chest X-rays
Risk-Sensitive Conformal Prediction for Catheter Placement Detection in Chest X-rays
Long Hui
40
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0
28 May 2025
Is Hyperbolic Space All You Need for Medical Anomaly Detection?
Is Hyperbolic Space All You Need for Medical Anomaly Detection?
Alvaro Gonzalez-Jimenez
Simone Lionetti
Ludovic Amruthalingam
Philippe Gottfrois
Fabian Gröger
Marc Pouly
Alexander A. Navarini
41
0
0
27 May 2025
Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts
Prompt Tuning Vision Language Models with Margin Regularizer for Few-Shot Learning under Distribution Shifts
Debarshi Brahma
Anuska Roy
Soma Biswas
VLM
210
1
0
21 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
ViTMedIm
102
1
0
16 May 2025
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review
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Abdullah
Wei Chen
Ickjai Lee
Euijoon Ahn
MedIm
75
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0
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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
CMLMedIm
107
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UniBiomed: A Universal Foundation Model for Grounded Biomedical Image Interpretation
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Linshan Wu
Yuxiang Nie
Sunan He
Jiaxin Zhuang
Hao Chen
...
V. Vardhanabhuti
R. Chan
Yifan Peng
Pranav Rajpurkar
Hao Chen
LM&MAMedIm
194
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0
30 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
105
0
0
10 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
101
0
0
03 Apr 2025
Generative AI for Software Architecture. Applications, Challenges, and Future Directions
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Matteo Esposito
Xiaozhou Li
Sergio Moreschini
Noman Ahmad
T. Cerný
Karthik Vaidhyanathan
Valentina Lenarduzzi
Davide Taibi
AI4CE
104
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
170
0
0
14 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
Yan Sun
93
2
0
10 Mar 2025
Causally Reliable Concept Bottleneck Models
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Giovanni De Felice
Arianna Casanova Flores
Francesco De Santis
Silvia Santini
Johannes Schneider
Pietro Barbiero
Alberto Termine
139
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Enhancing Collective Intelligence in Large Language Models Through Emotional Integration
Likith Kadiyala
Ramteja Sajja
Y. Sermet
Ibrahim Demir
412
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05 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
102
1
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03 Mar 2025
Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis
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
127
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03 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
76
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01 Mar 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
135
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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
119
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MedFuncta: Modality-Agnostic Representations Based on Efficient Neural Fields
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160
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Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries
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Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
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Fairness Analysis of CLIP-Based Foundation Models for X-Ray Image Classification
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How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
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Review and Recommendations for using Artificial Intelligence in Intracoronary Optical Coherence Tomography Analysis
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Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
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Amirreza Fateh
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A Comprehensive Survey of Foundation Models in Medicine
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Seowung Leem
Kyle B. See
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R. Fang
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Mehmet Can Yavuz
Kang Wang
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