Publications citing MIMIC-CXR Database v2.1.0

Deep Learning Methods for Chest Disease Detection Using Radiography Images
Adnane Ait Nasser, Moulay A. Akhloufi. SN Computer Science, 2023. Cites: paper

MedShift: Automated Identification of Shift Data for Medical Image Dataset Curation
Xiaoyuan Guo, Judy Wawira Gichoya, Hari Trivedi et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Emulating Target Trials Comparing Early and Delayed Intubation Strategies
Kerollos Nashat Wanis, Arin L. Madenci, Sicheng Hao et al. CHEST Journal, 2023. Cites: paper

Semi-Supervised Medical Report Generation via Graph-Guided Hybrid Feature Consistency
Ke Zhang, Hanliang Jiang, Jian Zhang et al. IEEE Transactions on Multimedia, 2023. Cites: paper

CX-Net: an efficient ensemble semantic deep neural network for ROI identification from chest-x-ray images for COPD diagnosis
Agughasi Victor Ikechukwu, Murali S. Machine Learning Science and Technology, 2023. Cites: paper

Deep image captioning: A review of methods, trends and future challenges
Liming Xu, Quan Tang, Jiancheng Lv et al. Neurocomputing, 2023. Cites: paper

PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children
Huy‐Hieu Pham, Ngoc Huy Nguyen, Thanh Tung Tran et al. Scientific Data, 2023. Cites: paper

Self-supervised learning for medical image classification: a systematic review and implementation guidelines
Shih-Cheng Huang, Anuj Pareek, Malte Jensen et al. npj Digital Medicine, 2023. Cites: paper

Multimodal medical tensor fusion network-based DL framework for abnormality prediction from the radiology CXRs and clinical text reports
Shashank Shetty, V. S. Ananthanarayana, Ajit Ramakant Mahale. Multimedia Tools and Applications, 2023. Cites: paper

Enhancing thoracic disease detection using chest X-rays from PubMed Central Open Access
Mingquan Lin, Bojian Hou, Swati Mishra et al. Computers in Biology and Medicine, 2023. Cites: paper

A deep learning model using chest X-ray for identifying TB and NTM-LD patients: a cross-sectional study
Chia-Jung Liu, Cheng Che Tsai, Lu-Cheng Kuo et al. Insights into Imaging, 2023. Cites: paper

Collaborative training of medical artificial intelligence models with non-uniform labels
Soroosh Tayebi Arasteh, Peter Isfort, Marwin-Jonathan Sähn et al. Scientific Reports, 2023. Cites: paper

Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
Aghiles Kebaili, Jérôme Lapuyade‐Lahorgue, Su Ruan. Journal of Imaging, 2023. Cites: paper

Evaluating diagnostic content of AI-generated chest radiography: A multi-center visual Turing test
Youho Myong, Dan Yoon, Byeong Soo Kim et al. PLoS ONE, 2023. Cites: paper

Differentiation of Fungal, Viral, and Bacterial Sepsis using Multimodal Deep Learning
Aaron E. Boussina, Karthik S. Ramesh, Himanshu Arora et al. medRxiv, 2023. Cites: paper

AI-based radiodiagnosis using chest X-rays: A review
Yasmeena Akhter, Richa Singh, Mayank Vatsa A. Frontiers in Big Data, 2023. Cites: paper

Resolving impact of technical and biological variability on the convolutional neural networks: evaluating chest x-ray scans
Dmitry Cherezov, Vidya Sankar Viswanathan, Amit Banwari Gupta et al. SPIE Medical Imaging: Image Processing, 2023. Cites: paper

Automated labelling of radiology reports using natural language processing: Comparison of traditional and newer methods
Seo Yi Chng, Paul Jie Wen Tern, Rui Xian Matthew Kan et al. Health care science, 2023. Cites: paper

Local Contrastive Learning for Medical Image Recognition
Syed Asad Rizvi, Ruixiang Tang, Xiaoqian Jiang et al. PubMed, 2023. Cites: paper

Radiology report generation with a learned knowledge base and multi-modal alignment
Shuxin Yang, Xian Wu, Shen Ge et al. Medical Image Analysis, 2023. Cites: paper

Review on chest pathogies detection systems using deep learning techniques
Arshia Rehman, Ahmad Khan, Gohar Fatima et al. Artificial Intelligence Review, 2023. Cites: paper

Vision Transformers in medical computer vision—A contemplative retrospection
Arshi Parvaiz, Muhammad Anwaar Khalid, Rukhsana Zafar et al. Engineering Applications of Artificial Intelligence, 2023. Cites: paper

Automated Report Generation: A GRU Based Method for Chest X-Rays
Wajahat Akbar, Muhammad Inam Ul Haq, Abdullah Abdullah et al. International Conference on Computing, Mathematics and Engineering Technologies (iCoMET), 2023. Cites: paper

Efficacy of Artificial Intelligence in the Categorisation of Paediatric Pneumonia on Chest Radiographs: A Systematic Review
Erica Louise Field, Winnie Tam, Niamh Moore et al. Children, 2023. Cites: paper

Medical image captioning via generative pretrained transformers
Alexander Selivanov, Oleg Y. Rogov, Daniil Chesakov et al. Scientific Reports, 2023. Cites: paper

Deep multimodal fusion of image and non-image data in disease diagnosis and prognosis: a review
Can Cui, Haichun Yang, Yaohong Wang et al. Progress in Biomedical Engineering, 2023. Cites: paper

Rad-Former: Structuring Radiology Reports using Transformers*
Ashok Ajad, Taniya Saini, Kumar M Niranjan. International Conference on Recent Advances in Information Technology, 2023. Cites: paper

Machine Learning: Using Xception, a Deep Convolutional Neural Network Architecture, to Implement Pectus Excavatum Diagnostic Tool from Frontal-View Chest X-rays
Yu-Jiun Fan, I‐Shiang Tzeng, Yao‐Sian Huang et al. Biomedicines, 2023. Cites: paper

Attention-based Saliency Maps Improve Interpretability of Pneumothorax Classification
Alessandro Wollek, Robert Graf, Saša Čečatka et al. Radiology Artificial Intelligence, 2023. Cites: paper

Automatic measuring of finger joint space width on hand radiograph using deep learning and conventional computer vision methods
Raj Ponnusamy, Ming Zhang, Zhiheng Chang et al. Biomedical Signal Processing and Control, 2023. Cites: paper

A Web-Based Platform for the Automatic Stratification of ARDS Severity
Mohammad Yahyatabar, Philippe A. Jouvet, Donatien Fily et al. Diagnostics, 2023. Cites: paper

Recent advances of Transformers in medical image analysis: A comprehensive review
Kun Xia, Jinzhuo Wang. MedComm – Future Medicine, 2023. Cites: paper

Automated Radiology Report Generation Using Transformers
Wimukthi Nimalsiri, Mahela Hennayake, K. D. I. S. Rathnayake et al. International Conference on Advanced Research in Computing (ICARC), 2023. Cites: paper

Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics
Nihal Murali, Aahlad Puli, Ke Yu et al. PubMed, 2023. Cites: paper

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation
Sixing Yan, William K. Cheung, Keith Wan-Hang Chiu et al. IEEE Transactions on Medical Imaging, 2023. Cites: paper

Machine Learning Augmented Interpretation of Chest X-rays: A Systematic Review
Hassan K. Ahmad, Michael Milne, Quinlan D. Buchlak et al. Diagnostics, 2023. Cites: paper

Algorithmic encoding of protected characteristics in chest X-ray disease detection models
Ben Glocker, Charles Jones, Mélanie Bernhardt et al. EBioMedicine, 2023. Cites: paper

Fairness and Accuracy under Domain Generalization
Thai-Hoang Pham, Xueru Zhang, Ping Zhang. PubMed, 2023. Cites: paper

CheSS: Chest X-Ray Pre-trained Model via Self-supervised Contrastive Learning
Kyungjin Cho, Kiduk Kim, Yujin Nam et al. Journal of Imaging Informatics in Medicine, 2023. Cites: paper

CXLSeg Dataset: Chest X-ray with Lung Segmentation
Wimukthi Nimalsiri, Mahela Hennayake, K. D. I. S. Rathnayake et al. International Conference on Cyber Management and Engineering (CyMaEn), 2023. Cites: paper

Image augmentation and automated measurement of endotracheal-tube-to-carina distance on chest radiographs in intensive care unit using a deep learning model with external validation
Matthieu Oliver, Amélie Renou, Nicolas Allou et al. Critical Care, 2023. Cites: paper

Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays
Susanne Gaube, Harini Suresh, Martina Raue et al. Scientific Reports, 2023. Cites: dataset, paper

A 178-clinical-center experiment of integrating AI solutions for lung pathology diagnosis
Bulat Ibragimov, Kirill M. Arzamasov, Bulat Maksudov et al. Scientific Reports, 2023. Cites: paper

MIMIC-IV on FHIR: converting a decade of in-patient data into an exchangeable, interoperable format
Alex M Bennett, Hannes Ulrich, Philip van Damme et al. Journal of the American Medical Informatics Association, 2023. Cites: paper

IKAR: An Interdisciplinary Knowledge-Based Automatic Retrieval Method from Chinese Electronic Medical Record
Yueming Zhao, Liang Zie Hu, Ling Chi. Information, 2023. Cites: paper

A Novel Deep Learning Model for Medical Report Generation by Inter-Intra Information Calibration
Junsan Zhang, Xiuxuan Shen, Shaohua Wan et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Contrastive pre-training and linear interaction attention-based transformer for universal medical reports generation
Zhihong Lin, Donghao Zhang, Danli Shi et al. Journal of Biomedical Informatics, 2023. Cites: paper

Chest X-ray in Emergency Radiology: What Artificial Intelligence Applications Are Available?
Giovanni Irmici, Maurizio Cè, Elena Caloro et al. Diagnostics, 2023. Cites: paper

A deep learning model to identify fluid overload status in critically ill patients based on chest X-ray images
Xiaoyi Qin, Wei Zhang, Xiang Hu et al. Polskie Archiwum Medycyny Wewnętrznej, 2023. Cites: paper

Quantitative and Qualitative evaluation of the recent Artificial Intelligence in Healthcare publications using Deep-Learning
Raghav Awasthi, Shreya V. Mishra, Jacek B. Cywiński et al. medRxiv, 2023. Cites: paper

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