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CheXpert

Description: CheXpert is a labeled chest radiograph dataset used to develop and evaluate machine learning methods for thoracic disease classification.
OpenAlex ID: keywords/chexpert
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison
2019 · Jeremy Irvin, Pranav Rajpurkar, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 392
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Diffusion Models for Medical Anomaly Detection
2022 · Julia Wolleb, Florentin Bieder, et al. · Lecture notes in computer science · 349
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CheXclusion: Fairness gaps in deep chest X-ray classifiers
2020 · Laleh Seyyed-Kalantari, Guanxiong Liu, et al. · Pacific Symposium on Biocomputing (PSB) · 275
Clinically Accurate Chest X-Ray Report Generation
2019 · Liu, Guanxiong, Hsu, Tzu-Ming Harry, et al. · arXiv (Cornell University) · 213
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Label Co-Occurrence Learning With Graph Convolutional Networks for Multi-Label Chest X-Ray Image Classification
2020 · Bingzhi Chen, Jinxing Li, et al. · IEEE Journal of Biomedical and Health Informatics · 163
Transfer learning with fine-tuned deep CNN ResNet50 model for classifying COVID-19 from chest X-ray images
2022 · Md. Belal Hossain, S.M. Hasan Sazzad Iqbal, et al. · Informatics in Medicine Unlocked · 161
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Can We Trust Deep Learning Based Diagnosis? The Impact of Domain Shift in Chest Radiograph Classification
2020 · Eduardo H. P. Pooch, Pedro Ballester, et al. · Lecture notes in computer science · 134
A Novel Approach for Multi-Label Chest X-Ray Classification of Common Thorax Diseases
2019 · Imane Allaouzi, Mohamed Ben Ahmed · IEEE Access · 126
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Feasibility of Using the Privacy-preserving Large Language Model Vicuna for Labeling Radiology Reports
2023 · Pritam Mukherjee, Benjamin Hou, et al. · Radiology · 115
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CheXbert: Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT
2020 · Smit, Akshay, Jain, Saahil, et al. · arXiv (Cornell University) · 103
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RadGraph: Extracting Clinical Entities and Relations from Radiology Reports
2021 · Jain, Saahil, Agrawal, Ashwin, et al. · arXiv (Cornell University) · 90
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Deep learning-based patient re-identification is able to exploit the biometric nature of medical chest X-ray data
2022 · Kai Packhäuser, Sebastian Gündel, et al. · Scientific Reports · 89
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Analyzing Transfer Learning of Vision Transformers for Interpreting Chest Radiography
2022 · Mohammad Usman, Tehseen Zia, et al. · Journal of Imaging Informatics in Medicine · 85
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Risk of Bias in Chest Radiography Deep Learning Foundation Models
2023 · Ben Glocker, Charles Jones, et al. · Radiology Artificial Intelligence · 83
Algorithmic encoding of protected characteristics in chest X-ray disease detection models
2023 · Ben Glocker, Charles Jones, et al. · EBioMedicine · 78
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Synthetically enhanced: unveiling synthetic data's potential in medical imaging research
2024 · Bardia Khosravi, Frank Li, et al. · EBioMedicine · 63
Revisiting the Trustworthiness of Saliency Methods in Radiology AI
2023 · Jiajin Zhang, Hanqing Chao, et al. · Radiology Artificial Intelligence · 57
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Potential sources of dataset bias complicate investigation of underdiagnosis by machine learning algorithms
2022 · Mélanie Bernhardt, Charles Jones, et al. · Nature Medicine · 50
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CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
2024 · Nicolás Gaggion, Candelaria Mosquera, et al. · Scientific Data · 46
Deep Learning Systems for Pneumothorax Detection on Chest Radiographs: A Multicenter External Validation Study
2021 · Yee Liang Thian, Dianwen Ng, et al. · Radiology Artificial Intelligence · 44
Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data
2021 · Xinyue Zhang, Jiahao Ding, et al. · IEEE Winter Conference on Applications of Computer Vision · 44
CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive Learning
2023 · Kyungjin Cho, Ki Duk Kim, et al. · Journal of Imaging Informatics in Medicine · 42
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DECAPS: Detail-Oriented Capsule Networks
2020 · Aryan Mobiny, Pengyu Yuan, et al. · Lecture notes in computer science · 41
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Pneumonia Detection from Chest X-Ray Images Using Deep Learning and Transfer Learning for Imbalanced Datasets
2024 · Faisal Alshanketi, Abdulrahman Alharbi, et al. · Journal of Imaging Informatics in Medicine · 37
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Predicting Patient Demographics From Chest Radiographs With Deep Learning
2022 · Jason Adleberg, Amr Wardeh, et al. · Journal of the American College of Radiology · 32
Works count: 428
Citation count: 4,188
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