Publications citing MIMIC-CXR Database v2.1.0

SilverLining: Data-First Mitigation of Spatial and Spectral Shortcuts Without Introducing New Confounders
Balagopal Unnikrishnan, Michael Brudno, Chris McIntosh. IEEE Winter Conference on Applications of Computer Vision, 2026. Cites: paper

Test-Time Adaptation through Semantically-guided Feature Decomposition for Few-shot Chest X-ray Diagnosis
Jayant Mahawar, Angshuman Paul. IEEE Winter Conference on Applications of Computer Vision, 2026. Cites: paper

MedVersa: A Generalist Foundation Model for Diverse Medical Imaging Tasks
Hong-Yu Zhou, Julián Acosta, Subathra Adithan et al. NEJM AI, 2026. Cites: paper

A Systematic Review of Cross-Population Shifts in Medical Imaging Analysis with Deep Learning
Aminu Musa, Rajesh Prasad, Peter Onwualu et al. Big Data and Cognitive Computing, 2026. Cites: paper

EfficientNetV2 and Grad-CAM++ Enabled Cloud Framework for Automated Thoracic Disease Diagnosis From Chest X-Rays
K Radhika, S. Annapurna Shobitha, Gousia Thahniyath et al. International Conference on Intelligent Sustainable Systems (ICISS), 2026. Cites: paper

Unsupervised Contrastive Refinement With Graph-Aware Multimodal Interaction for Radiology Report Generation
Akshay Daydar, Mr.G. Chenna Keshava Reddy, Sonal Kumar et al. IEEE Journal of Biomedical and Health Informatics, 2026. Cites: paper

R2GenCSR: Mining Contextual and Residual Information for LLMs-Based Radiology Report Generation
Xiao Wang, Yuehang Li, Fuling Wang et al. IEEE Journal of Biomedical and Health Informatics, 2026. Cites: paper

Sparsity-guided multimodal self-supervised learning for expert-level multi-task chest X-ray diagnosis
Si-Qi Li, Cheng Zhen, Baiqiang Li et al. Expert Systems with Applications, 2026. Cites: paper

Multimodal AI-based 28-day mortality prediction of pneumonia patients at ED discharge: a multicenter study
Sunjin Hwang, Sejin Heo, Sungjun Hong et al. Scientific Reports, 2026. Cites: dataset, paper

Review of generative AI for lesion localization and automatic report generation
Kaicong Sun, Yulin Wang, Shijie Huang et al. Med-X, 2026. Cites: paper

Enhanced radiology report generation via comprehensive sequence rearrangement and multi-scale cross-region attention
Yan Deng, Qibing Qin, Wei Hu et al. The Visual Computer, 2026. Cites: paper

LiteNet-CXR v2: A Lightweight and Interpretable CNN for Lung Tumor Detection in Chest X-Rays
Jay Kumar Gupta, Sujal Kumar Singh, Atul Singh Rajput et al. International Conference on Power, Control and Computing Technologies (ICPC2T), 2026. Cites: paper

MedProbCLIP: Probabilistic Adaptation of Vision-Language Foundation Model for Reliable Radiograph-Report Retrieval
Ahmad Elallaf, Yu Zhang, Yuktha Priya Masupalli et al. IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2026. Cites: paper

SMILES challenge 2025: Multitask learning with contrastive and natural language generation for enhanced medical image classification
Raja Vavekanand, Teerath Kumar. Signal Image and Video Processing, 2026. Cites: paper

TBDD : Three‐Branch Disease‐Driven Model for Medical Report Generation
Dengao Li, Zishuo Ren, Jumin Zhao et al. International Journal of Imaging Systems and Technology, 2026. Cites: paper

Context-Aware Sentence Classification of Radiology Reports Using Synthetic Data: Development and Validation Study
Tomohiro Kikuchi, Yosuke Yamagishi, Kohei Yamamoto et al. Journal of Medical Internet Research, 2026. Cites: paper

Small Models, Big Insights: Compact Vision– Language Intelligence for Biomedical Imaging
Himanshi Kirar, Vibha Tiwari, Sunil Shukla. International Conference Big Data and Machine Learning, 2026. Cites: paper

Comprehensive Lung Disease Classification and Severity Assessment using AC-CXR: A Hybrid Convolution–Transformer Framework
Sadasivuni Sai Rahul, Mohammad Farukh Hashmi. International Conference on Computing, Communication, Control and Cyber-Physical Systems (I5CPS), 2026. Cites: paper

Adversarial and Correlation-Aware Data Augmentation Framework for Multi-Label Chest X-Ray Image Classification
Zhanbo Liang, Si Li, Jian Lin Zhu. IEEE Journal of Biomedical and Health Informatics, 2026. Cites: paper

Hybrid InceptionV3-LSTM for Asthma Detection on Chest X-Rays
Namrata D. Ghuse, Rajkumar Jain, Sandeep Monga. Journal of Innovative Image Processing, 2026. Cites: paper

Visualization methods for explainable medical imaging diagnosis: A survey
Longzhen Yang, Yihang Liu, Lianghua He et al. Computer Science Review, 2026. Cites: paper

Two -stage contrastive learning framework for vertebral compression fracture screening in frontal chest X-ray
Junzhang Huang, Qianyi Qiu, Yi Wu et al. Medical Image Analysis, 2026. Cites: paper

Efficient multimodal learning using BERT and vision transformers for visual question answering on peripheral blood cells
Faheem Shehzad, Ciro Mennella, Massimo Esposito et al. Discover Artificial Intelligence, 2026. Cites: paper

Enhancing Radiography-Report foundation model via Multi-View masked contrastive learning
Xiaoyu Li, Mingyu Wang, Zhiyong Huang et al. Pattern Recognition, 2026. Cites: paper

Diffusional magnetic resonance imaging anonymizing with variational autoencoder
Yunheng Shen, Ling Zheng, Ruohan Liu et al. Quantitative Biology, 2026. Cites: paper

Foundation models in medical imaging: A review
Qianqian Chen, Anglin Liu, Jingyang Zhang et al. EngMedicine, 2026. Cites: paper

Automated Radiology X-ray Report Generation using AI
N Nagalakshmi, Kavi Priya S, R Thejaswini et al. International Conference on Intelligent Processing, Hardware, Electronics, and Radio Systems (CIPHER), 2026. Cites: paper

Lung Disease Classification through Explainable AI and Transfer Learning Approach
Anurag Kumar Srivastava, Garima Verma, Km Ikra et al. International Conference on Intelligent Processing, Hardware, Electronics, and Radio Systems (CIPHER), 2026. Cites: paper

WSTC: Task-adaptive medical vision–language model with semantic tokens and dynamic alignment
Xiaolan Gao, Jiaorao Wang, Dan Yang. Neurocomputing, 2026. Cites: paper

Evaluating natural and domain‑specific pretraining for variational autoencoder reconstruction of lung nodules
Charmi Patel, Yiyang Wang, Rohan Patil et al. SPIE Medical Imaging: Computer-Aided Diagnosis, 2026. Cites: paper

Explainability-Driven Trust Enhancement in Medical AI for Radiological and Neurophysiological Prognostics with SimulationBased Validation
Khushbu Trivedi, Rupali Chopade, Vinod Pachghare. International Conference on Emerging Technologies and Future Innovations (ETFI), 2026. Cites: paper

DAMON: Difference-Aware Medical Visual Question Answering via Multimodal Large Language Model
Zefan Zhang, Yanhui Li, Ruihong Zhao et al. IEEE Journal of Biomedical and Health Informatics, 2026. Cites: paper

Natural language generation in healthcare: A review of methods and applications
Mengxian Lyu, Xiaohan Li, Ziyi Chen et al. Journal of Biomedical Informatics, 2026. Cites: paper

An Interpretable Chest X-ray Classification Framework Using Prototype Memory and Counterfactual Consistency
Ling-Feng Chiang. Cureus, 2026. Cites: paper

Automated Radiological Report Generation from Breast Ultrasound Images Using Vision and Language Transformers
Shaheen Khatoon, Azhar Mahmood. Journal of Imaging, 2026. Cites: paper

ITAdapter: Image-Tag adapter framework with retrieval knowledge enhancer for radiology report generation
Shuaipeng Ding, Jianan Shui, Mingyuan Ge et al. Expert Systems with Applications, 2026. Cites: paper

Laboratory Test-Guided Medical Image Generation for Multi-Modal Disease Prediction
Jingwen Xu, Fei Lyu, Ye Zhu et al. IEEE Transactions on Medical Imaging, 2026. Cites: paper

MetaChest: generalized few-shot learning of pathologies from chest X-rays
Berenice Montalvo-Lezama, Gibrán Fuentes-Pineda. Visual Computing for Industry Biomedicine and Art, 2026. Cites: paper

Unbiased diagnostic report generation via multi-modal counterfactual inference
Yuting Guo, Shuai Li, Wenfeng Song et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Label-wise reliability-aware classifier for robust chest X-ray multi-label classification
Wenkai Ye, Xichen Ye, Hang Yao et al. Expert Systems with Applications, 2026. Cites: paper

Learning with less: A survey of deep learning in medical imaging under varying supervision levels
Suruchi Kumari, Pravendra Pratap Singh. Artificial Intelligence in Medicine, 2026. Cites: paper

Reply to the Letter to the Editor: GPT-4o in radiology—a review of label extraction accuracy and clinical applications in upper extremity imaging
Hanna Kreutzer, Sven Nebelung. European Radiology, 2026. Cites: paper

Text-image alignment for ILD imaging: linking CXR evidence to CT quantification
Jiani Gao, Yijiu Ren, Fengjing Yang et al. npj Digital Medicine, 2026. Cites: paper

16913 Explainable Artificial Intelligence in biomedical engineering
Simon Fonck, André Stollenwerk. De Gruyter eBooks, 2026. Cites: paper

A Survey on Automatic Medical Report Generation Using Deep Learning: Approaches, Challenges and Emerging Trends
Javed Miya, Mohd Meesam Raza, Animesh Kumar Rai et al. International Conference on Green Technologies and Sustainable Solutions (GTSS), 2026. Cites: paper

Automatic semantic segmentation in chest X-ray images using deep learning approaches: a literature review
Omar Abueed, Priyank Thakkar, Wafa’ H. AlAlaween et al. Neural Computing and Applications, 2026. Cites: paper

Automatic medical report generation: a comprehensive review of methodologies and applications
Tao Yan, Hua Wei He, In Neng Chan et al. PeerJ Computer Science, 2026. Cites: paper

XGeM: A multi-prompt foundation model for multimodal medical data generation
Daniele Molino, Francesco Di Feola, Eliodoro Faiella et al. Computerized Medical Imaging and Graphics, 2026. Cites: paper

Beyond pixels: Zero-shot classification of chest X-ray reports via prompt engineering and LLMs
Hassan Katal, Jamal Ghasemi, Meysam Roostaee. Alexandria Engineering Journal, 2026. Cites: paper

Empowering liver cancer diagnosis and treatment with foundation models: technological innovation and clinical practice
J. T. Wang, Siyan Xue, Haoming Xia et al. Clinical and Experimental Medicine, 2026. Cites: paper

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