Publications citing MIMIC-CXR Database v2.1.0

From Detection to Radiology Report Generation: Fine-Grained Multi-Modal Alignment with Semi-Supervised Learning
Qian Tang, Lijun Liu, Xiaobing Yang et al. Journal of Imaging Informatics in Medicine, 2025. Cites: paper

SGRRG: Leveraging radiology scene graphs for improved and abnormality-aware radiology report generation
Jun Wang, Lixing Zhu, Abhir H. Bhalerao et al. Computerized Medical Imaging and Graphics, 2025. Cites: paper

Medical multimodal foundation models in clinical diagnosis and treatment: Applications, challenges, and future directions
Kai Sun, Siyan Xue, Fuchun Sun et al. Artificial Intelligence in Medicine, 2025. Cites: paper

DS-AKDGen: Dual-Stream Alignment-aware Knowledge Distillation for Medical Report Generation
Yan Xi Deng, Nana Liu, Jun Ni. International Conference on Internet of Things, Automation and Artificial Intelligence (IoTAAI), 2025. Cites: paper

Radiology report generation via visual-semantic ambivalence-aware network and focal self-critical sequence training
Xiulong Yi, You Fu, Enxu Bi et al. Neural Networks, 2025. Cites: paper

Integration of nested cross-validation, automated hyperparameter optimization, high-performance computing to reduce and quantify the variance of test performance estimation of deep learning models
Paul Calle, Averi Bates, Justin C. Reynolds et al. Computer Methods and Programs in Biomedicine, 2025. Cites: paper

Reference standard methodology in the clinical evaluation of AI chest X-ray algorithms for lung cancer detection: A systematic review
Sean F. Duncan, Andrew C Kidd, Jesus A Perdomo-Lampignano et al. European Journal of Radiology, 2025. Cites: paper

From coarse to grain: automated medical report generation based on fine-grained semantic alignment and cross-modal enhancement
Yuhao Tang, Fei Tao. Cluster Computing, 2025. Cites: paper

Encoding of Demographic and Anatomical Information in Chest X-Ray-Based Severe Left Ventricular Hypertrophy Classifiers
Basudha Pal, Rama Chellappa, Muhammad Umair. Biomedicines, 2025. Cites: paper

MambaGen: Efficient visual representation learning for automatic radiology report generation
Xiaodi Hou, Xiaobo Li, Simiao Wang et al. Expert Systems with Applications, 2025. Cites: paper

Reference-guided state-aware framework for chest X-ray report generation
Keyue Shi, Zhi Yu, Zhongda Qi et al. IEEE International Conference on Sensors, Electronics and Computer Engineering (ICSECE), 2025. Cites: paper

Development of a Large-Scale Dataset of Chest Computed Tomography Reports in Japanese and a High-Performance Finding Classification Model: Dataset Development and Validation Study
Yosuke Yamagishi, Yuta Nakamura, Tomohiro Kikuchi et al. JMIR Medical Informatics, 2025. Cites: paper

Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-Ray Report Generation
Xiao Wang, Fuling Wang, Haowen Wang et al. IEEE Transactions on Medical Imaging, 2025. Cites: paper

Development and validation of a deep learning model for early detection and screening of diabetic retinopathy
Feifei Cao, Xitong Guo, Meng Li et al. BMC Medical Informatics and Decision Making, 2025. Cites: paper

A comprehensive survey of Vision–Language Models: Pretrained models, fine-tuning, prompt engineering, adapters, and benchmark datasets
Sufyan Danish, Abolghasem Sadeghi‐Niaraki, Samee U. Khan et al. Information Fusion, 2025. Cites: paper

Reward Systems for Trustworthy Medical Federated Learning
Konstantin D. Pandl, Florian Leiser, Scott Thiebes et al. ACM Transactions on Computing for Healthcare, 2025. Cites: paper

Fundamentals of Medical Image Analysis
Wesam M. Ahmed, Mohamed Hammad. Springer eBooks, 2025. Cites: paper

Towards generalist foundation model for radiology by leveraging web-scale 2D&3D medical data
Chaoyi Wu, Xiaoman Zhang, Ya Zhang et al. Nature Communications, 2025. Cites: paper

From large language models to multimodal AI: a scoping review on the potential of generative AI in medicine
Lukas Buess, Matthias Keicher, Nassir Navab et al. Biomedical Engineering Letters, 2025. Cites: paper

Automatic radiology report generation with deep learning: a comprehensive review of methods and advances
Yilin Li, Chao Kong, Guosheng Zhao et al. Artificial Intelligence Review, 2025. Cites: paper

Intelligent analysis of chest X-ray based on multi-modal instruction tuning
Junjie Yao, Junhao Wang, Zhenxiang Xiao et al. Meta-Radiology, 2025. Cites: paper

AGA: An adaptive group alignment framework for structured medical cross-modal representation learning
Wei Li, Xun Gong, Jiao Li et al. Knowledge-Based Systems, 2025. Cites: paper

Anatomical Attention Alignment Representation for Radiology Report Generation
Quang Vinh Nguyen, Minh Duc Nguyen, Thanh Hoang Son Vo et al. Proceedings - International Conference on Image Processing, 2025. Cites: paper

SeLIP: Similarity enhanced contrastive language image pretraining for multi-modal head MRI
Zhiyang Liu, Dong Sheng Yang, Minghao Zhang et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Epidemiology of Eventration: Predicting Prevalence
Elena LeCompte, Schafer Paladichuk, Sadie Walter et al. Cureus, 2025. Cites: paper

Chest X-Ray Diagnosis with Joint Report Generation and Lesion Localization Using Multimodal Vision-Language Models
Houxuan Zhang, Kuan Huang. IEEE International Conference on Pattern Recognition and Artificial Intelligence (PRAI), 2025. Cites: paper

Multi-modal graph-aware pre-training for disease classification and cross-modal retrieval in chest radiology
Ruibin Chen, Weidong Min, Qing Han et al. Pattern Recognition, 2025. Cites: paper

PaliGemma-CXR: a multi-task multimodal model for tuberculosis chest X-ray interpretation
Denis Musinguzi, Andrew Katumba, Sudi Murindanyi et al. BMC Artificial Intelligence, 2025. Cites: paper

Bridging the Gap Between Radiology Reports and Patients: Further Considerations on the Patient-Facing Radiology Artificial Intelligence Tool RadGPT Study
Deniz Esin Tekcan Şanlı, Ahmet Necati Şanlı. Journal of the American College of Radiology, 2025. Cites: paper

Dual-level semantic collaboration and inference network for medical image report generation
Junsan Zhang, Yuxue Liu, Mingwen Shao et al. Knowledge-Based Systems, 2025. Cites: paper

A Hybrid Deep Learning Approach for Improving Medical Image Captioning Using Convolutional Vision Transformer
Wisam Ramadan, Bahriye Akay. International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2025. Cites: paper

Infusing clinical knowledge into language models by subword optimisation and embedding initialisation
Abul Hasan, Honghan Wu, Quang Nguyen et al. Computers in Biology and Medicine, 2025. Cites: paper

Uncertainty-Aware Medical Diagnostic Phrase Identification and Grounding
Ke Zou, Yang Bai, Bo Liu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025. Cites: paper

A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
Julio Silva-Rodríguez, José Dolz, Ismail Ben Ayed. Lecture notes in computer science, 2025. Cites: paper

Concepts from Neurons: Building Interpretable Medical Image Diagnostic Models by Dissecting Opaque Neural Networks
Shizhan Gong, Huayu Wang, Xiaofan Zhang et al. Lecture notes in computer science, 2025. Cites: paper

Foundation models for radiology—the position of the AI for Health Imaging (AI4HI) network
José Guilherme de Almeida, L. Cerdá Alberich, Gianna Tsakou et al. Insights into Imaging, 2025. Cites: paper

Full Conformal Adaptation of Medical Vision-Language Models
Julio Silva-Rodríguez, Leo Fillioux, Paul-Henry Cournède et al. Lecture notes in computer science, 2025. Cites: paper

Multi-view and Multi-scale Alignment for Contrastive Language-Image Pre-training in Mammography
Yuexi Du, John A. Onofrey, Nicha C. Dvornek. Lecture notes in computer science, 2025. Cites: paper

Taming Masked Image Modeling for Chest X-ray Diagnosis by Incorporating Clinical Visual Priors
Zihao Zhao, Mei Wang, Zhiming Cui et al. Lecture notes in computer science, 2025. Cites: paper

Adversarial Attacks and Defense for Secure Medical Reports Interpretation using ResNet
S. Rama Lavanya, S. Jothi. International Conference on Recent Innovation in Science Engineering and Technology (ICRISET), 2025. Cites: paper

Significance of unifying semi and self-supervision for the radical improvement of medical imaging: a collaborative research effort
Tahir Abbas, Manal Linjawi, Imran Iqbal et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Large Language Model–Supported Identification of Intellectual Disabilities in Clinical Free-Text Summaries: Mixed Methods Study
Aleksandra Edwards, Antonio F. Pardiñas, George Kirov et al. JMIR AI, 2025. Cites: paper

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray
Mingquan Lin, Gregory Holste, Song Wang et al. Medical Image Analysis, 2025. Cites: paper

Continual learning in medical image analysis: A comprehensive review of recent advancements and future prospects
Pratibha Kumari, Joohi Chauhan, Afshin Bozorgpour et al. Medical Image Analysis, 2025. Cites: paper

Disease probability-enhanced follow-up chest X-ray radiology report summary generation
Zhichuan Wang, Qiao Deng, Tiffany Y. So et al. Scientific Reports, 2025. Cites: paper

Eye-Guided Multimodal Fusion: Toward an Adaptive Learning Framework Using Explainable Artificial Intelligence
Sahar Moradizeyveh, Ambreen Hanif, Sidong Liu et al. Sensors, 2025. Cites: paper

Gaze-guided vision transformer for chest X-ray image classification
Zihui Chen, Zhi Liu, Yingjie Song. Biomedical Signal Processing and Control, 2025. Cites: paper

Multilabel Chest X-Ray Image Classification via Category Disentangled Causal Learning
Qiang Li, Mengdi Liu, Rihao Chang et al. IEEE Transactions on Artificial Intelligence, 2025. Cites: paper

Zeus: zero-shot LLM instruction for union segmentation in multimodal medical imaging
Siyuan Dai, Kai Ye, Guodong Liu et al. International Journal of Machine Learning and Cybernetics, 2025. Cites: paper

A Neo4j-Based Framework for Integrating Clinical Data with Medical Ontologies: Performance Optimization and Quality Measure Applications in Healthcare
Sohyeon Jeon. medRxiv, 2025. Cites: paper

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