Publications citing MIMIC-CXR Database v2.1.0

R 2 MoE: Representation and Expert Selection Dual-Regularized Mixture-of-Experts for Multimodal Clinical Data
Wajih Hassan Raza, Mya Caryn Schiess, Juan Martinez Lemus et al. 2026. Cites: paper

Rethinking Whole-Body CT Image Interpretation: An Abnormality-Centric Approach
Ziheng Zhao, Lisong Dai, Ya Zhang et al. 2026. Cites: paper

Stochastic Perturbations Improve Distribution-to-Distribution Generative Models
Shiye Su, Yuhui Zhang, Linqi Zhou et al. 2026. Cites: paper

Understanding Chest X-Ray Vision Representations with DeViL
Isabel Rio-Torto, Bruno Coelho, Jaime S. Cardoso et al. IEEE International Symposium on Computer-Based Medical Systems (CBMS), 2026. Cites: paper

When Models Learn to Ask Why: Adaptive Causal Reasoning for Trustworthy Medical Vision-Language Models
Jianxin Lin, Chunzheng Zhu, Peter J. Kneuertz et al. 2026. Cites: paper

Artificial Intelligence in Radiology and the Growing Applications of Medical Imaging
Muhammad Ahmad Naeem. Pakistan BioMedical Journal, 2026. Cites: paper

Bridging images and language in radiology: A comprehensive PRISMA systematic review of transformer vision-language models and clinical readiness
Sadaf Tabatabaee, Mohammad T. Khasawneh. IISE Transactions on Healthcare Systems Engineering, 2026. Cites: paper

Bridging the image–text gap: Reinforced Cross-modal Abnormality Driven Transformer for automatic chest X-ray report generation
Xiulong Yi, You Fu, R Wang et al. Engineering Applications of Artificial Intelligence, 2026. Cites: paper

MedLAMA: Medical lesion-aware multimodal alignment
Zhiyan Xue, Tong Liu, Xiaoqiang Li et al. Neurocomputing, 2026. Cites: paper

Trustworthiness Evaluation of Medical Vision-Language Models: A Scoping Review and a Proposed Minimum Evaluation Checklist (Preprint)
Binesh Sadanandan, Amirhossein Karimi, Bibek Upadhayay et al. JMIR AI, 2026. Cites: paper

Trustworthiness Evaluation of Medical Vision-Language Models: A Scoping Review of Robustness, Grounding, Hallucination, and Uncertainty (Preprint)
Binesh Sadanandan, Bibek Upadhayay, Vahid Behzadan. 2026. Cites: paper

An Explainable Multimodal Framework for Chest X-Ray Alert Classification Using Radiology Reports and Images
Edy Winarno, Indah Manfaati Nur, Abdul Karim et al. Journal of Computing Theories and Applications, 2026. Cites: paper

Agentic AI in Healthcare: Opportunities, Challenges, and Future Directions
Mourad Gridach, Jay Nanavati, Khaldoun Zine El Abidine et al. ACM Computing Surveys, 2026. Cites: paper

Bridging the interpretability gap for medical artificial intelligence models using class-association manifold learning
Ruitao Xie, Xiaoxi He, Limai Jiang et al. Nature Biomedical Engineering, 2026. Cites: paper

Mind the gap: challenges and future directions for content-based image retrieval in clinical radiology
Erika Spada, Katharina Erb‐Eigner, Aurélie Pahud de Mortanges et al. Frontiers in Radiology, 2026. Cites: paper

Primary-View-Driven Asymmetric Organ-Aware Framework for Chest X-ray Report Generation
Yaofeng He, S Song, Ping Wang et al. International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT), 2026. Cites: paper

CausalCompNet: Causal intervention meets vision-language priors for robust CXR diagnosis
Mengdi Liu, Qi Li, Rihao Chang et al. Biomedical Signal Processing and Control, 2026. Cites: paper

A Two-Stage Contrastive Learning Framework Grounded in Label-Specific Features for Low-Frequency Labels in Chest X-Ray Multi-Label Classification
Shi Tang, Meiyan Huang, Qianjin Feng. Bioengineering, 2026. Cites: paper

MedCF-LLM: A Medical Image Report Generation Framework Based on Cross-Modal Attention and Feature-wise Linear Modulation
Xuchen Zhang, Jing Zhao, Wenjing Ruan et al. International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2026. Cites: paper

Архитектура распределенной системы мультимодального анализа медицинских данных на основе вариационного семантического выравнивания
Р.В. Пожарский, А. А. Рындин. Modelirovanie, optimizaciâ i informacionnye tehnologii., 2026. Cites: paper

SDPT: Synchronous Dual Prompt Tuning for Visual-Language Pre-Trained Models
Yang Zhou, Yongjian Wu, Jiya Saiyin et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026. Cites: paper

PatchCLIP enables region specific contrastive health record and image joint training with patch embedding loss
Sheethal Bhat, Awais Mansoor, Bogdan Georgescu et al. Scientific Reports, 2026. Cites: paper

AAMN: cross-modal fusion network with association alignment matrix for radiological report generation
Zonglin LIANG, Xiaodi Hou, Fei Chen et al. Multimedia Systems, 2026. Cites: paper

Autodidactic dense anatomical models
Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang. Medical Image Analysis, 2026. Cites: paper

Advancing In-Context Learning for Efficient and Stable Medical Report Generation
Mingjie Li, Rui Liu, Zeyi Shi et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026. Cites: paper

A Transformer-Based Cross-Modal Framework for Clinically Faithful Medical Image Captioning
Shankar M, R. Manikandan, Bhavana Kambam et al. International Conference on Signal, Systems, and Computing for Next-Gen Automation (ICSSCNA), 2026. Cites: paper

GAN-Based Lung X-Ray Image Enhancement and Denoising
R. Manikandan, Tabdula Mahesh, T Jagan et al. International Conference on Signal, Systems, and Computing for Next-Gen Automation (ICSSCNA), 2026. Cites: paper

Thyro-LMD: A Benchmark Dataset and Sample-Driven Data Loading, Attention, and Regularization for Long-Tailed Multi-Label Thyroid Ultrasound Diagnosis
J Zhang, Shunlan Liu, Xiaoling Luo et al. IEEE Transactions on Medical Imaging, 2026. Cites: paper

A critical review of pretrained deep neural networks for chest x-ray interpretation: architectural trends, clinical relevance, and future directions
Shabina Shaik, Kalyani Sunkara. Engineering Research Express, 2026. Cites: paper

Latent diffusion-augmented cross-modal representation learning for radiology report generation
Xiaodi Hou, Xiaobo Li, Simiao Wang et al. Information Processing & Management, 2026. Cites: paper

Multimodal Fusion Architectures for Clinical Vision Language Models
Soumi Ghosh, D. Rithesh Raj. Advances in computational intelligence and robotics book series, 2026. Cites: paper

Multimodal Large Language Models in Radiology for Automated and Augmented Report Generation
Pragyansh Pathak, Sushant Matre, Milind Chunkhare. Advances in computational intelligence and robotics book series, 2026. Cites: paper

Vision Language Models for Medical Imaging
Vipin Tyagi. Advances in computational intelligence and robotics book series, 2026. Cites: paper

Enhancing radiology workflows through collaborative AI-assisted chest X-ray reporting using large vision-language models: a proof-of-concept study
Chantal Pellegrini, Ege Özsoy, Florian Tilman Gassert et al. Insights into Imaging, 2026. Cites: paper

Deep Transfer Learning-based Lung Disease Detection on Chest X-Ray Images
Pavani Doddaka, Naga Prudhvi Raj V, Dhanush Makkapati et al. International Conference on Innovations in Communication, Geoscience and Robotics (ICICGR), 2026. Cites: paper

DPA-HiVQA: Enhancing Structured Radiology Reporting with Dual-Path Cross-Attention
Ngoc Tuyen Do, Minh Nguyen Quang, Hai Van Pham. Machine Learning and Knowledge Extraction, 2026. Cites: paper

MedSAM2-CXR: A Box-Latent Framework for Chest X-ray Classification and Report Generation
Yuto Hakata, Miko Oikawa, Shin Fujisawa. medRxiv, 2026. Cites: paper

Abnormality-Aware Knowledge Graph and Hierarchical Cross-Attention in LLM for Radiology Report Generation
Tae Seong Eom, Byung Cheol Song. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

A comprehensive bedside chest radiography dataset with structured, itemized and graded radiologic reports
Daniel Truhn, Daniel Geiger, Robert Malte Siepmann et al. Scientific Data, 2026. Cites: paper

Beyond Averaging: All-Rounder Capability Evaluation for Radiology Report Generation
Dr. Yiming Ji, Zhiyu Tang, Dong Zhang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Case2Knowledge: Structured Knowledge-Infused Prompting for Faithful Radiology Report Generation
Qi Gao, T Liu, Zhongfan Sun et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

DVPAlign: Dual-Flow Visual Graph Encoding with Diagnostic-Driven Prompt Alignment For Medical Report Generation
Dengdi Sun, Zhaodong Chen, Chengli Mu et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Hierarchical Anatomically-Aligned Radiology Report Generation
Jie Zeng, Jiaqing Liang, Yan Wang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Making Medical Vision-Language Models Think Causally Across Modalities with Retrieval-Augmented Cross-Modal Reasoning
Weijie Yang, Haowen Xue, Qingyi Peng et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

MedMoVE-HRMLLM: A Mixture-of-Vision-Experts MLLM for Fine-Grained High-Resolution Medical Image Understanding
Yujie Bai, Juanjuan Zhao, Yapeng Zhao et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

MP-CXR: A Modular Pipeline with Multi-Label Disease-State Classification and Image-Label Alignment for Chest X-Ray Report Generation
Haifeng Zhao, Yufei Zhang, Leilei Ma et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Radiology Report Generation via Multi-Path Modeling with Medical Language Priors and Semantic Guidance
Long Zhao, Xia Liu. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Autonomous skeletal landmark localization toward agentic C-arm control
Jay Hwasung Jung, Ahmad Arrabi, Jax Luo et al. International Journal of Computer Assisted Radiology and Surgery, 2026. Cites: paper

League of Radiologists—an End-to-End AI Framework for Scalable and Gamified Radiology Education: A Pilot Implementation in Chest Radiography
Hyunji Kim, Young-Tak Kim, Saúl Langarica et al. Journal of Imaging Informatics in Medicine, 2026. Cites: dataset, paper

Multicenter Chest Radiographic Findings from Ethiopia with Radiologist-Generated Annotations
Messay Gebrekidan, Samuel Sisay Hailu, Michael Teklehaimanot Abera et al. Research Square, 2026. Cites: paper

Cited by