Publications citing MIMIC-CXR Database v2.1.0

Optimization of organizational processes in healthcare using artificial intelligence and implications for BRICS countries: a systematic review with narrative synthesis
Черепов Алексей Викторович, Маликова Лайла Магомедзапировна, Макаровская Мария Владимировна et al. The BRICS Health Journal, 2026. Cites: paper

ScintiGround-38K: A Grounded Visual Question Answering Benchmark for Paired Anterior–Posterior Bone Scintigraphy
M. Rifqi Dzaky Azhad, Ema Rachmawati. Research Square, 2026. Cites: paper

Evaluating Pneumonia Classification Robustness Across Architectures Under Variable-Quality Chest Radiographs
Wissam Harib, Shereen Fouad, Anikó Ekárt et al. Lecture notes in computer science, 2026. Cites: paper

Gate-Before-Generate: A Dual-Layer Architecture for Output-Presence Routing in Chest X-ray Report Generation
Tung-Chu Bai, Sheng‐Cheng Yeh. medRxiv, 2026. Cites: paper

PatchChestCT: A patch-level spatial annotation dataset for nine abnormalities in chest CT
Yingtai Li, Hongchun Zhang, Mengwen Xu et al. Scientific Data, 2026. Cites: paper

A Multi-Stage Deep Learning Framework for Automated Brain Tumor Diagnosis and Clinical Report Generation
Mohamed Eassa, NAGWA YASEEN HEGAZY, Hussam Elbehiery. Computers, 2026. Cites: paper

A Novel GPT-2-Based Large Language Model for Expert-Level Radiology Report Generation from 3D Computed Tomography Images
Pelumi Victor Aderinto, Mehrdad Ghaziasgar. Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2026. Cites: paper

Do More Modalities Really Help? Evidence from Controlled Multimodal Clinical Prediction
Suchit Bhai Patel, Manik Gupta, Mei-Tai Chu. Lecture notes in computer science, 2026. Cites: paper

General or Medical CLIP, Which One Shall We Choose?
Haiting Huang, Dario Zanca, Bjoern M. Eskofier et al. Lecture notes in computer science, 2026. Cites: paper

Cross-modal bias in medical vision-language models: a pipeline-aware framework for mechanisms, evaluation, and mitigation
Rafid Mehda, Ramisa Anjum Oishi, Tamzid Tanvi Alam et al. Frontiers in Digital Health, 2026. Cites: paper

Geographic Information Systems for Medical Data Analysis
K. Ganesh Kumar, N. V. Keerthana, K. Balamurugan et al. Advances in geospatial technologies book series, 2026. Cites: paper

MKG-RAG-Bench: Benchmarking Retrieval in Multimodal Knowledge Graph–Augmented Generation
Xiaochen Wang, Bao Hoang, Han Liu et al. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026. Cites: paper

FixationFormer: Direct Utilization of Expert Gaze Trajectories for Chest X-Ray Classification
Daniel Beckmann, Benjamin Risse. Lecture notes in computer science, 2026. Cites: paper

Representation Learning with Semantic-Aware Instance and Sparse Token Alignments
Phuoc-Nguyen Bui, Toan Duc Nguyen, Junghyun Bum et al. Lecture notes in computer science, 2026. Cites: paper

Bridging the Standalone–VLM Gap for Chest X-ray Findings: An Empirical Study on Bit Depth, Projectors, and Training Recipes
Yuri Bolkonskiy, Алексей Владимирович Боков. Lecture notes in computer science, 2026. Cites: paper

Diagnosis-Aware Medical Radiology Report Generation with Retrieval-Augmented Multimodal Knowledge Injection
Bo-rong Wang, Jian Ye, Ze Zhao. Lecture notes in computer science, 2026. Cites: paper

TRACE: Temporal Radiology with Anatomical Change Explanation for Grounded X-Ray Report Generation
O. F. M. Riaz Rahman Aranya, Kevin Desai. Lecture notes in computer science, 2026. Cites: paper

Benchmarking Test-Time Adaptation for Multi-Label Chest X-ray Classification under Distribution Shift
Duc-Ngo Van, Kim-Hung Le. International Conference on Multimedia Analysis and Pattern Recognition (MAPR), 2026. Cites: paper

Disease-Aware Visual Token Memory for Chest X-Ray Report Generation with VLMs
Radhika Haren Fichadia. IEEE World Conference on Applied Intelligence and Computing (AIC), 2026. Cites: paper

Federated Multimodal Knowledge Distillation for Heart Failure Risk Prediction Using Clinical Data
Habibur Rahaman, Aseef Iqbal, Jaimatul Inan. International Conference Computational Vision and Bio Inspired Computing, 2026. Cites: paper

How I Do It: Understanding and Leveraging Generative AI for Chest Radiology Reporting
Eun Kyoung Hong, Seungho Lee, Mizuki Nishino. Radiology, 2026. Cites: paper

MedEvidence-RAG for Joint Evidence Retrieval and Generator Alignment in Medical Visual Question Answering and Report Generation
Xingyu Qu, Shuangquan Li, Liu Liu et al. International Conference on Image Processing, Multimedia Technology and Machine Learning (IPMML), 2026. Cites: paper

MG-Hybrid: mask-guided hybrid state space models with semantic alignment for radiology report generation
Yilin Li, Zijian Zhao, Yizhuo Yuan et al. Applied Intelligence, 2026. Cites: paper

Reflexive-Radio-Adapter: Ultra-Low-Resource Joint Architecture for Chest X-Ray Report Generation and Clinical Classification
Aaditya Chaturvedy, R. Mangalagowri, Soubraylu Sivakumar et al. International Conference on Integrated Circuits, Communication, and Computing Systems (ICIC3S), 2026. Cites: paper

Reliability Stress Tests and Decision-Time Routing for Chest X-ray Vision-Language Models
Xinye Yang, Zhusi Zhong, Scott Collins et al. IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies, 2026. Cites: paper

Transfer learning with RadImageNet in medical imaging AI: review and future directions
V P HARA GOPAL, S. Nagaraju. Neural Computing and Applications, 2026. Cites: paper

Retrieval-Augmented Generation in Radiology: A Scoping Review of Architectures, Imaging Applications, and Directions for Equitable Deployment
Matthew Yu Heng Wong, Huitao Li, Curtis P. Langlotz et al. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

Evaluating Clinical NLP Services for Chest Radiograph Report Labeling: A Comparative Study on an Independent Pediatric Dataset
Shruti Hegde, Mabon Ninan, Jonathan R. Dillman et al. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

LungRes80: Towards tangled surgical workflow recognition in video-assisted thoracoscopic surgery
Diandian Guo, Shu Yang, Jialun Pei et al. Medical Image Analysis, 2026. Cites: paper

Multimodal Artificial Intelligence in Tissue Diagnostics
Rong Xia, Brian Robert Isett, Jie Chen et al. American Journal Of Pathology, 2026. Cites: paper

Swin-Qwen3: a three-stage vision–language framework for automated radiology report generation with multi-agent verification
Hamida Abdaoui, Sabri Barbaria, Ahmed Al Kuwaiti et al. Frontiers in Radiology, 2026. Cites: paper

Toward universal representations of the living: Physiological invariance for transportable medical AI
Alexandre Vallée. PLOS Digital Health, 2026. Cites: paper

Propensity-guided unbalanced optimal transport for acquisition-aware incomplete multimodal clinical prediction
Yulong Chen, Qi Zhang, Wenzhe Liu et al. Information Fusion, 2026. Cites: paper

CLEAR: an auditable foundation model for radiology grounded in clinical concepts
Tianyu Han, Riga Wu, Yu Tian et al. Nature Biomedical Engineering, 2026. Cites: paper

AI and Signal Processing Baseline for Multi-Pathology Chest X-Ray Detection toward Smart Health Sensor Networks
Ouafaa Ikhzmane, Latifa Doudach, Kenza Belkhou et al. Lecture notes in networks and systems, 2026. Cites: paper

AI-Driven Approaches for the Detection, Classification, and Surveillance of Viral Pathogens: Current Advances, Challenges, and Future Directions
Hathem Khelil, Rosanna Palumbo, Giovanni Nicola Roviello. Pathogens, 2026. Cites: paper

PLUTO: a YOLO-based lung field detector for pediatric lateral chest X-rays generalizable to adults
Sivaramakrishnan Rajaraman, Renee Browning, Patrick Jean‐Philippe et al. Frontiers in Artificial Intelligence, 2026. Cites: paper

Boltzmann-driven dynamic annealing network for knowledge-guided radiology report generation
Wei Xiao, Man Liu, Hao Zhu et al. Multimedia Systems, 2026. Cites: paper

CardioMorph Atlas: a statistical approach to evaluate association between pulmonary tuberculosis and cardiac morphology from chest X-rays
Amritpal Singh, Sena Azamat, Gourav Modanwal et al. EBioMedicine, 2026. Cites: paper

ZPRRF: Zero-Shot Prior and Rule-Guided Radiology Reporting Framework
Bin Huang, Guanghui Zhao, Yunhao Li et al. Lecture notes in computer science, 2026. Cites: paper

Enhancing Chest X-Ray Report Generation via Retrieval-Augmented Difference Perception and Semantic Calibration
Minghao Li, Youwei Qiao, Yunfeng Dong et al. Lecture notes in computer science, 2026. Cites: paper

Language-Guided Segmentation of Medical Images: A Review of Foundation Models
Saqib Qamar. Bioengineering, 2026. Cites: paper

RADAR: A Difference-Aware Retrieval With Organ-Level Alignment for Change Radiology Report Generation
Yizhi Pan, Guanqun Sun, Yingying Zhu et al. IEEE Transactions on Medical Imaging, 2026. Cites: paper

Sharpness matters: Higher image resolution improves generalization and explainability in chest X-ray classification
Aditya V. Kulkarni, John R. Zech, Paul Hyunsoo Yi. Scientific Reports, 2026. Cites: paper

Cross-modal Orthogonal Adaptive Contrastive Learning for robust chest radiology report generation
Qian Tang, Lu Liu, Deng Zhu et al. Engineering Applications of Artificial Intelligence, 2026. Cites: paper

A Systematic Review of Deep Learning and Machine Learning Applications in Longitudinal Multimodal Clinical Data
Jinqian Pan, Tienyu Chang, Mengxian Lyu et al. Journal of Healthcare Informatics Research, 2026. Cites: paper

A unified multi-task framework enables interpretable chest radiograph analysis
Lijian Xu, Ziyu Ni, Xinglong Liu et al. Med, 2026. Cites: paper

Multimodal AI in healthcare: Review of vision–language foundation models for real-world medical applications
Taha Razzaq, Murtaza Taj, Asim Iqbal. Journal of Biomedical Informatics, 2026. Cites: paper

Artificial intelligence for chest imaging in hantavirus pulmonary syndrome: A review of practical considerations for rare-disease imaging
Nicholas Dietrich, Brett Stubbert. Clinical Imaging, 2026. Cites: paper

Conformal Prediction for Risk-Controlled Medical Entity Extraction Across Clinical Domains
Manil Shrestha, Edward Kim. Lecture notes in computer science, 2026. Cites: paper

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