Publications citing MIMIC-CXR Database v2.1.0

Overview of Machine Learning and Deep Learning Algorithms
Ramkumar Rajabathar Babu Jai Shanker, Daniel Thomas Ginat. Springer eBooks, 2026. Cites: paper

Proximity-Constrained Counterfactual Decoding for Hallucination-Robust Medical VQA
Dwarikanath Mahapatra, Abhijit Das, Manish Pandey et al. Lecture notes in computer science, 2026. Cites: paper

Recent advances in artificial intelligence for radiology report generation: a brief review
Caitlyn Tran, Basudha Pal, Thomas Stirrat et al. BJR|Artificial Intelligence, 2026. Cites: paper

Resource-efficient Fine-tuning of Stable Diffusion for Synthetic Hand Radiograph Generation
Marten J. Finck, Sina P. Lücke, Niklas C. Koser et al. Informatik aktuell, 2026. Cites: paper

REVA-PO: Stabilizing Reinforcement Learning for Chest X-Ray Report Generation
Li Guo, Anas M. Tahir, Z. Jane Wang. Lecture notes in computer science, 2026. Cites: paper

Robust Model for Pneumonia Detection from X-Rays Using Machine Learning and Deep Learning Techniques
George Peña, Wilfredo Ticona. Lecture notes in networks and systems, 2026. Cites: paper

Seeing What Matters: Lesion-Aware High-Resolution Patch Discovery and Fusion for Chest X-Ray Report Generation
Yingshu Li, Yunyi Liu, Zhenghao Chen et al. Lecture notes in computer science, 2026. Cites: paper

SepsiGraph: A Graph-Based Multimodal Approach for Early Sepsis Prediction in Dynamic Resource-Constrained Clinical Settings
Sofia Bourhim, Oumayma Bourhim. Lecture notes in computer science, 2026. Cites: paper

Set-to-One Structured Captioning for Heterogeneous Nasal Image Collections via Spatio-Temporal Modeling and Clinical Knowledge Integration
Xinpan Yuan, Jianuo Ju, Liujie Hua et al. Lecture notes in computer science, 2026. Cites: paper

Towards Generalizable Clinical Knowledge Discovery for Radiology Report Generation
Xiaomin Chen, Qi Chen, Vu Minh Hieu Phan et al. Lecture notes in computer science, 2026. Cites: paper

Towards Reliable Medical Large Vision-Language Models via Counterfactual Preference Optimization
Xiaoguang Zhu, Naipeng Wang, Kartik Patwari et al. Lecture notes in computer science, 2026. Cites: paper

Xception-Based Deep Learning Model for Automatic Detection of COVID-19 in Chest X-Rays
Karla Yohana Sánchez Mojica, Diana Carolina Candia Herrera, Juan David Triana Turmeque et al. Communications in computer and information science, 2026. Cites: paper

Chest X-ray foundation models: A survey and future directions
Amelia Wang, Zefan Yang, Soroush Rais-Bahrami et al. Meta-Radiology, 2025. Cites: paper

AI-Driven Digital Pathology: Deep Learning and Multimodal Integration for Precision Oncology
Hyun‐Jong Jang, Sung Hak Lee. International Journal of Molecular Sciences, 2025. Cites: paper

The Current Landscape of Automatic Radiology Report Generation with Deep Learning: A Scoping Review
Patricio Meléndez-Rojas, Jaime Jamett Rojas, María Fernanda Villalobos Dellafiori et al. AI, 2025. Cites: paper

Adaptive Normalization Enhances the Generalization of Deep Learning Model in Chest X-Ray Classification
Jatsada Singthongchai, Tanachapong Wangkhamhan. Journal of Imaging, 2025. Cites: paper

From radiology findings to artificial intelligence-powered impressions: A retrospective study on the comparative performance of recent large language models
Nanziba Tasneem, Christian B. van der Pol, Ambreen Zahoor et al. Intelligent Medicine, 2025. Cites: paper

Accurate Clinical Entity Recognition and Code Mapping of Anatomopathological Reports Using BioClinicalBERT Enhanced by Retrieval-Augmented Generation: A Hybrid Deep Learning Approach
Hamida Abdaoui, Chamseddine Barki, Ismail Dergaa et al. Bioengineering, 2025. Cites: paper

BEnchmarking Large Language Models for Ophthalmology (BELO): An Expert-Curated Data Set and Evaluation Framework for Knowledge and Reasoning
Sahana Srinivasan, Xuguang Ai, Thaddaeus Wai Soon Lo et al. Ophthalmology Science, 2025. Cites: paper

Self-Reflective Chest X-Ray Report Generation with Clinical-Aware Detection and Multilevel Readability
Juhyuk Han, Minjae J. Kim, Yeonwoo Kim et al. Journal of Medical Systems, 2025. Cites: paper

A Deep Network Incorporating Depthwise Separable Convolutions for Pathological Diagnosis of Chest X‐Ray Images: A Model Development and Validation Study
Na Zhang, Guanghong Deng, Wenlong Jing et al. Health Science Reports, 2025. Cites: paper

Diagnostic Accuracy of an Offline CNN Framework Utilizing Multi-View Chest X-Rays for Screening 14 Co-Occurring Communicable and Non-Communicable Diseases
Latika Giri, Pradeep Raj Regmi, Ghanshyam Gurung et al. Diagnostics, 2025. Cites: paper

International Retrospective Observational Study of Continual Learning for AI on Endotracheal Tube Placement from Chest Radiographs
Emma Chen, Agustina D. Saenz, Oishi Banerjee et al. NEJM AI, 2025. Cites: paper

Joint attention GAN for medical report generation with clinical style preservation
Zuge Tang, Xiaoou Liu, Jun Bie et al. Scientific Reports, 2025. Cites: paper

Vision-language zero-shot models for radiographic image classification: A systematic review
Ana Guerrero-Tamayo, Ibon Ruiz, Begonya García-Zapirain. Machine Learning with Applications, 2025. Cites: paper

Emerging Synergies in Causality and Deep Generative Models: A Survey
Guanglin Zhou, Shaoan Xie, Guang-Yuan Hao et al. IEEE Transactions on Artificial Intelligence, 2025. Cites: paper

Let's share: Open-source frameworks and public databases
Fernando Pérez‐García, Benjamin A. K. Murray, Eric Kerfoot et al. Advances in magnetic resonance technology and applications, 2025. Cites: paper

PARROT, an open multilingual radiology reports dataset
Bastien Le Guellec, Kokou Fofo Toussaint Adambounou, Lisa C. Adams et al. European Journal of Radiology Artificial Intelligence, 2025. Cites: paper

Multi-Label Chest X-Ray Classification with CNNs, Transformers, and Grad-CAM: An Explainable AI Approach
Mahmoud Bamatraf, Fawaz Alsolami, Mostafa Saleh. International Journal of Pattern Recognition and Artificial Intelligence, 2025. Cites: paper

Fixed-Budget Parameter-Efficient Training with Frozen Encoders Improves Multimodal Chest X-Ray Classification
Md Ashik Khan, Md Nahid Siddique. International Conference on Computer and Information Technology (ICCIT), 2025. Cites: paper

Lung Disease Detection with AGNet: A Unified Graph Neural Network Framework With Enhanced Explainability
Syeda Somiya Tasnim, Rowshan Nahar, Jannatul Ferdous et al. International Conference on Computer and Information Technology (ICCIT), 2025. Cites: paper

Ultra-lightweight uncertainty-aware ensemble for large-scale multi-class medical MRI diagnosis
Sowad Rahman, Fahmid Al Farid, Mahe Zabin et al. Frontiers in Radiology, 2025. Cites: paper

Attention-Based Deep Neural Networks for Identifying Atypical Pulmonary Disorders in Chest X-rays
Aruna Rama, M Chandra Sekhar, B. Mamatha et al. International Symposium on Advanced Electrical and Communication Technologies (ISAECT), 2025. Cites: paper

Bridging Visual Analysis and Text Generation: A Hierarchical Multi-scale Visual Feature Flow Model for Accessible Radiographic Report Automation
Hailong Zuo, Zhi Weng, Yunlu Duan et al. Journal of the Franklin Institute, 2025. Cites: paper

Classifying Pulmonary Diseases Using Small Multimodal Model on X-Ray Images and Reports
Minh Kien Thai, Duc-Khanh Tran. RIVF International Conference on Computing and Communication Technologies (RIVF), 2025. Cites: paper

Automated Radiology Report Generation Using Medical Images
Arjun Dhiman, Sunidhi Gupta, Sharandeep Kaur et al. International Conference on Applied Artificial Intelligence and Computing (ICAAIC), 2025. Cites: paper

Medical Concept Guided Frequency Representation for Chest X-ray Report Generation
Lili Huang, Xiaowei Zhao, Xinyi Liu et al. Cognitive Computation, 2025. Cites: paper

Medical Semantic-Aware Image-Text Alignment loss for Medical Visual Question Answering
Vasudha P. Joshi, Adrish Adhikari, Pabitra Mitra et al. Indian Conference on Computer Vision, Graphics and Image Processing, 2025. Cites: paper

Anatomy-Aware Adaptation of Pre-Trained Models for Medical Difference Visual Question Answering
Qian Zhou, Yuhan GAO, Hua Zou et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

CyclicAligner: Knowledge-Enhanced Cyclical Alignment for Chest X-Ray Report Generation
Jiamei Sun, Pengbo Wang, Ke Zhang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

DeViDe: Faceted Medical Knowledge to Enhance Vision Foundation Model Pretraining for Radiology
Haozhe Luo, Ziyu Zhou, Ming Hou et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Fine-Grained Knowledge-Guided Alignment for Medical Vision-Language Pre-Training
Yaning Pan, Ying Cheng, Y Li et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Generalized Nesterov-Boosted Adversarial Data Augmentation Framework for Multi-Label Chest X-Ray Image Classification
Zhanbo Liang, Yuping Sun, Si Li. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

MedCMCL-VLP: A Cross-Modal Dual-Phase Progressive Curriculum Learning Vision-Language Pre-Training Framework for Radiology Zero-Shot Classification
Jiani Li, Zelan Li, Jianning Chi et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Med-GLIP: Advancing Medical Language-Image Pre-Training with Large-Scale Grounded Dataset
Ziye Deng, Ruihan He, Jianxing Liu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

MENet: Memory Enhanced Network for Chest Radiology Report Generation
Chuang Dong, Shanshan Wang, Gang Li et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Multi-View Asymmetric Self-Distillation for Chest X-Ray Vision-Language Understanding
Zheng Huang, Mingfan Qiu, Haifan Wu et al. International Conference on Computational Intelligence and Security (CIS), 2025. Cites: paper

Reason like a radiologist: Chain-of-thought and reinforcement learning for verifiable report generation
Peiyuan Jing, Kinhei Lee, Zhenxuan Zhang et al. Medical Image Analysis, 2025. Cites: paper

Deep learning for pneumonia detection from X-ray: A systematic review of models, datasets, and clinical translation challenges
Rupali Vyas, Rajendra Kumar Pandey. Biomedical Signal Processing and Control, 2025. Cites: paper

Chat-MedGen: omni-adaptation of multi-modal large language models for diverse biomedical tasks
Qinyue Tong, Ziqian Lu, Zhe‐Ming Lu et al. Knowledge-Based Systems, 2025. Cites: paper

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