Publications citing MIMIC-CXR Database v2.1.0

Prior-RadGraphFormer: A Prior-Knowledge-Enhanced Transformer for Generating Radiology Graphs from X-Rays
Yiheng Xiong, Jingsong Liu, Kamilia Zaripova et al. Lecture notes in computer science, 2024. Cites: paper

Privacy Distillation: Reducing Re-identification Risk of Diffusion Models
Virginia Fernández, Pedro Sanchez, Walter Hugo Lopez Pinaya et al. Lecture notes in computer science, 2024. Cites: paper

Pulmonary Edema and Pleural Effusion Detection Using EfficientNet-V1-B4 Architecture and AdamW Optimizer from Chest X-Rays Images
Anas AbuKaraki, Tawfiq Alrawashdeh, Sumaya Abusaleh et al. Computers, materials & continua/Computers, materials & continua (Print), 2024. Cites: paper

RAIDER: Rapid AI Diagnosis at Edge Using Ensemble Models for Radiology
Ishan Aryendu, Ying Nan Wang. IEEE Access, 2024. Cites: paper

Region-Specific Retrieval Augmentation for Longitudinal Visual Question Answering: A Mix-and-Match Paradigm
Ka-Wai Yung, Jayaram Sivaraj, Danail V. Stoyanov et al. Lecture notes in computer science, 2024. Cites: paper

Representation Learning with a Transformer-Based Detection Model for Localized Chest X-Ray Disease and Progression Detection
Mehrdad Eshraghi Dehaghani, Amirhossein Sabour, Amarachi B. Madu et al. Lecture notes in computer science, 2024. Cites: paper

Semi-Supervised Learning for Deep Causal Generative Models
Yasin Ibrahim, Hermione Warr, Konstantinos Kamnitsas. Lecture notes in computer science, 2024. Cites: paper

Structural Entities Extraction and Patient Indications Incorporation for Chest X-Ray Report Generation
Kang Liu, Zhuoqi Ma, Xiaolu Kang et al. Lecture notes in computer science, 2024. Cites: paper

Symptom Disentanglement in Chest X-Ray Images for Fine-Grained Progression Learning
Ye Zhu, Jingwen Xu, Fei Lyu et al. Lecture notes in computer science, 2024. Cites: paper

Textual Inversion and Self-supervised Refinement for Radiology Report Generation
Yuanjiang Luo, Hongxiang Li, Xuan Wu et al. Lecture notes in computer science, 2024. Cites: paper

Toward a Deep Multimodal Interactive Query Expansion for Healthcare Information Retrieval Effectiveness
Sabrine Benzarti, Wafa Tebourski, Wahiba Ben Abdessalem Karâa. Lecture notes on data engineering and communications technologies, 2024. Cites: paper

Towards an Unbiased Classification of Chest X-ray Images Using a RL Powered ACGAN Framework
Melissa El Beaini, Mariette Awad. IFIP advances in information and communication technology, 2024. Cites: paper

Two-Stage Medical Image-Text Transfer with Supervised Contrastive Learning
Xingren Wang, Sixing Yin, Yining Wang et al. Lecture notes in computer science, 2024. Cites: paper

UniDCP: Unifying Multiple Medical Vision-Language Tasks via Dynamic Cross-Modal Learnable Prompts
Chenlu Zhan, Yufei Zhang, Yu Lin et al. IEEE Transactions on Multimedia, 2024. Cites: paper

Using Information Extraction to Normalize the Training Data for Automatic Radiology Report Generation
Yuxiang Liao, Haishan Xiang, Hantao Liu et al. IEEE Access, 2024. Cites: paper

Visual-Textual Cross-Modal Interaction Network for Radiology Report Generation
Wenfeng Zhang, Baoning Cai, Jianming Hu et al. IEEE Signal Processing Letters, 2024. Cites: paper

Survey of Multimodal Medical Question Answering
Hilmi Demirhan, Wlodek Zadrozny. BioMedInformatics, 2023. Cites: paper

Intensive vision-guided network for radiology report generation
Fudan Zheng, Mengfei Li, Ying Wang et al. Physics in Medicine and Biology, 2023. Cites: paper

Hybrid Reinforced Medical Report Generation With M-Linear Attention and Repetition Penalty
Zhenghua Xu, Wenting Xu, Ruizhi Wang et al. IEEE Transactions on Neural Networks and Learning Systems, 2023. Cites: paper

Improving Medical Speech-to-Text Accuracy using Vision-Language Pre-training Models
Jaeyoung Huh, Sang Joon Park, Jeong Eun Lee et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: paper

Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning
Soroosh Tayebi Arasteh, Christiane Katharina Kuhl, Marwin-Jonathan Sähn et al. Scientific Reports, 2023. Cites: paper

Fine-tuning coreference resolution for different styles of clinical narratives
Yuxiang Liao, Hantao Liu, ‪Irena Spasić. Journal of Biomedical Informatics, 2023. Cites: paper

Contrastive Transfer Learning for Prediction of Adverse Events in Hospitalized Patients
Hojjat Salehinejad, Anne M. Meehan, Pedro J. Caraballo et al. IEEE Journal of Translational Engineering in Health and Medicine, 2023. Cites: paper

Effective processing pipeline PACE 2.0 for enhancing chest x-ray contrast and diagnostic interpretability
Giulio Siracusano, Aurelio La Corte, Annamaria G. NUCERA et al. Scientific Reports, 2023. Cites: paper

From Observation to Concept: A Flexible Multi-View Paradigm for Medical Report Generation
Zhizhe Liu, Zhenfeng Zhu, Shuai Zheng et al. IEEE Transactions on Multimedia, 2023. Cites: paper

Robustness of Single- and Dual-Energy Deep-Learning-Based Scatter Correction Models on Simulated and Real Chest X-rays
Clara Freijo, Joaquín L. Herraiz, Fernando Arias-Valcayo et al. Algorithms, 2023. Cites: dataset, paper

Graph-Based Patient Representation for Multimodal Clinical Data: Addressing Data Heterogeneity
Suparna Ghanvatkar, Vaibhav Rajan. medRxiv, 2023. Cites: paper

Development and validation of open-source deep neural networks for comprehensive chest x-ray reading: a retrospective, multicentre study
Yashin Dicente Cid, Matthew MacPherson, Louise Gervais-Andre et al. The Lancet Digital Health, 2023. Cites: paper

Analysis of the Clever Hans effect in COVID-19 detection using Chest X-Ray images and Bayesian Deep Learning
Julián D. Arias-Londoño, Juan Ignacio Godino-Llorente. Biomedical Signal Processing and Control, 2023. Cites: paper

Combining Deep Learning And Medical Knowledge to Detect Cadiomegaly and Pleural Effusion in Chest X-rays Diagnosis
Dinh-Tuan Nguyen, Lan-Anh Le-Pham, Hai-Dang Nguyen et al. International Symposium on Information and Communication Technology, 2023. Cites: paper

Securing Collaborative Medical AI by Using Differential Privacy: Domain Transfer for Classification of Chest Radiographs
Soroosh Tayebi Arasteh, Mahshad Lotfinia, Teresa Nolte et al. Radiology Artificial Intelligence, 2023. Cites: paper

WindowNet: Learnable Windows for Chest X-ray Classification
Alessandro Wollek, Sardi Hyska, Bastian Oliver Sabel et al. Journal of Imaging, 2023. Cites: paper

Adaptively Multi-Objective Adversarial Training for Medical Image Report Generation
Xuemiao Zhang, Junfei Liu. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

A Doctors Behavior Aware and Domain Knowledge Driven Model for Medical Report Generation
Han Wang, Jianwei Niu, Xuefeng Liu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Adversarial Training with Comprehensive Objective for Medical Image Report Generation
Xuemiao Zhang, Junfei Liu. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Bridging the Gap: Cross-modal Knowledge Driven Network for Radiology Report Generation
Beichen Kang, Yun Xiong, Jianbo Jiao et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Enhanced Knowledge Injection for Radiology Report Generation
Qingqiu Li, Jilan Xu, Runtian Yuan et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Enhancing Medical Report Generation in Multi-Slice Fusion Scenarios
Shenshen Bu, Taiji Li, Zhiming Dai. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

Radiology Report Generation via Structured Knowledge-Enhanced Multi-modal Attention and Contrastive Learning
Dexuan Xu, Yanyuan Chen, Jiayu Zhang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

UMCL: Unified Medical Image-Text-Label Contrastive Learning With Continuous Prompt
Yuhao Wang, Guangyu Wang. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. Cites: paper

A medical multimodal large language model for future pandemics
Fenglin Liu, Tingting Zhu, Xian Wu et al. npj Digital Medicine, 2023. Cites: paper

CODA: an open-source platform for federated analysis and machine learning on distributed healthcare data
Louis Mullie, Jonathan Afilalo, Patrick Michel Archambault et al. Journal of the American Medical Informatics Association, 2023. Cites: paper

Fully automatic summarization of radiology reports using natural language processing with language models
Mizuho Nishio, Takaaki Matsunaga, Hidetoshi Matsuo et al. medRxiv, 2023. Cites: paper

AUCReshaping: improved sensitivity at high-specificity
Sheethal Bhat, Awais Mansoor, Bogdan Georgescu et al. Scientific Reports, 2023. Cites: paper

Sharing Data Is Essential for the Future of AI in Medical Imaging
Laura C. Bell, Efrat Shimron. Radiology Artificial Intelligence, 2023. Cites: paper

Ascle: A Python Natural Language Processing Toolkit for Medical Text Generation
Rui Yang, Qingcheng Zeng, Keen You et al. PubMed, 2023. Cites: paper

Transformers Are All You Need to Generate Automatic Report from Chest X-ray Images
Chayan Mondal, Duc-Son Pham, Tele Tan et al. International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2023. Cites: paper

Angiographic Report Generation for the 3 rd APTOS’s Competition: Dataset and Baseline Methods
Weiyi Zhang, Peranut Chotcomwongse, Xiaolan Chen et al. medRxiv, 2023. Cites: paper

Characterizing the Progression of Pulmonary Edema Severity: Can Pairwise Comparisons in Radiology Reports Help?
Stephanie M. Hu, Steven Horng, Seth J. Berkowitz et al. Computing in cardiology, 2023. Cites: paper

Leveraging Longitudinal Data for Cardiomegaly and Change Detection in Chest Radiography
Raquel Belo, Joana Rocha, João Pedrosa. Lecture notes in computer science, 2023. Cites: paper

Cited by