Publications citing MIMIC-CXR Database v2.1.0

Mind the modality gap: Towards a remote sensing vision-language model via cross-modal alignment
Angelos Zavras, Dimitrios Michail, Begüm Demir et al. ISPRS Journal of Photogrammetry and Remote Sensing, 2025. Cites: paper

Medical radiology report generation: A systematic review of current deep learning methods, trends, and future directions
Amaan Izhar, Norisma Idris, Nurul Binti Japar. Artificial Intelligence in Medicine, 2025. Cites: paper

TraHeaLRG: Transformative Healthcare Leveraging LSTM and GRU Models Toward Improved Accuracy for Chest X-Ray Report Generation
Wajahat Akbar, Shuguang Li, Abdullah Abdullah et al. International Journal of Pattern Recognition and Artificial Intelligence, 2025. Cites: paper

DiNO-Diffusion: Scaling Medical Diffusion Models via Self-Supervised Pre-Training
Guillermo Jiménez-Pérez, Pedro Osório, Josef Cersovsky et al. Lecture notes in computer science, 2025. Cites: paper

KCLVA: Knowledge-Enhanced Contrastive Learning and View-Specific Attention for Chest X-Ray Report Generation
Jinlong Zhu, Ping Lü. Lecture notes in computer science, 2025. Cites: paper

Leveraging Synthetic Data for Whole-Body Segmentation in X-Ray Images
Ahmed Alshenoudy, Bertram Sabrowsky-Hirsch, Stefan Thumfart et al. Lecture notes in computer science, 2025. Cites: paper

Multimodal Federated Learning with Missing Modalities Through Feature Imputation Network
Pranav Poudel, Aavash Chhetri, Prashnna Gyawali et al. Lecture notes in computer science, 2025. Cites: paper

On the Robustness of Medical Vision-Language Models: Are They Truly Generalizable?
Raza Imam, Rufael Marew, Mohammad K. Yaqub. Lecture notes in computer science, 2025. Cites: paper

Scaling Chest X-Ray Foundation Models From Mixed Supervisions for Dense Prediction
Fuying Wang, Lequan Yu. IEEE Transactions on Medical Imaging, 2025. Cites: paper

Transform(AI)ng Radiology with CheXSBT: Integrating Dual-Attention Swin Transformer with BERT for Seamless Chest X-Ray Report Generation
Aradhya Khandeparker, Ping Lu. Lecture notes in computer science, 2025. Cites: dataset, paper

A Clinically-Informed Framework for Evaluating Vision-Language Models in Radiology Report Generation: Taxonomy of Errors and Risk-Aware Metric
Hao Guan, Peter Chuanyi Hou, Pengyu Hong et al. medRxiv, 2025. Cites: paper

Group-wise Compression and Summarization via LLM-based Ensemble for Chest X-ray Report Generation
Sangjun Park, Keun-Soo Heo, Bogyeong Kang et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Detecting Abnormalities in Chest X-Ray Images by Combining Classification Methods, Object Detection, and Data Balancing
Nhu Vu Quynh Nguyen, Dat Nguyen, Dat T. Ta et al. Communications in computer and information science, 2025. Cites: paper

Language Models for Multilabel Document Classification of Surgical Concepts in Exploratory Laparotomy Operative Notes: Algorithm Development Study
Jeremy A. Balch, Sasank Desaraju, Victoria J Nolan et al. JMIR Medical Informatics, 2025. Cites: paper

Knowledge fusion in deep learning-based medical vision-language models: A review
Dexuan Xu, Yanyuan Chen, Zhongyan Chai et al. Information Fusion, 2025. Cites: paper

C2M-DoT: Cross-modal consistent multi-view medical report generation with domain transfer network
Ruizhi Wang, Zhenghua Xu, Xiangtao Wang et al. Information Fusion, 2025. Cites: paper

Deep neural hashing for content-based medical image retrieval: A survey
Asim Manna, Raviteja Sista, Debdoot Sheet. Computers in Biology and Medicine, 2025. Cites: paper

Radiology report generation using automatic keyword adaptation, frequency-based multi-label classification and text-to-text large language models
Zebang He, Alex Ngai Nick Wong, Jung Sun Yoo. Computers in Biology and Medicine, 2025. Cites: paper

Drafting the Future: The Dawn of AI Report Generation in Radiology
Jarrel C. Y. Seah, Jennifer S. N. Tang, Aengus Tran. Radiology, 2025. Cites: paper

Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish
Elisa Myllylä, Pekka Siirtola, Antti Isosalo et al. Data, 2025. Cites: dataset, paper

Joint enhancement of automatic chest x‐ray diagnosis and radiological gaze prediction with multistage cooperative learning
Zirui Qiu, Hassan J Rivaz, Yiming Xiao. Medical Physics, 2025. Cites: paper

Lessons learned from RadiologyNET foundation models for transfer learning in medical radiology
Mateja Napravnik, Franko Hržić, Martin Urschler et al. Scientific Reports, 2025. Cites: paper

MedPix 2.0: A Comprehensive Multimodal Biomedical Data Set for Advanced AI Applications with Retrieval Augmented Generation and Knowledge Graphs
Irene Siragusa, Salvatore Contino, Massimo La Ciura et al. Data Science and Engineering, 2025. Cites: paper

Adaptive Semantic Alignment for Automated Radiology Report Generation via Cross-Modal Knowledge Integration
Sibo Ju, Zhaozhen Chen, Yulong Xiao et al. IEEE International Conference on Multimedia and Expo (ICME), 2025. Cites: paper

Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation
Daniele Molino, Francesco Di Feola, Linlin Shen et al. International Joint Conference on Neural Networks (IJCNN), 2025. Cites: paper

A Unified Multimodal Multi-Granularity Pre-Training Framework for Fine-Grained Medical Image Analysis
Zenan Gong, Linchao He, Nan Zhou et al. International Joint Conference on Neural Networks (IJCNN), 2025. Cites: paper

Automated Radiology Report Generation Based on Topic-Keyword Semantic Guidance
Jing Xiao, Hongfei Liu, Ruiqi Dong et al. IEEE International Conference on Multimedia and Expo (ICME), 2025. Cites: paper

BlendFL: Blended Federated Learning for Handling Multimodal Data Heterogeneity
Alejandro Guerra-Manzanares, Omar El Herraoui, Michail Maniatakos et al. International Joint Conference on Neural Networks (IJCNN), 2025. Cites: paper

Optimizing Efficiency and Visual-Textual Alignment for LLM-Based Radiology Report Generation
Zailong Chen, Peng Gao, Yujian Lee et al. IEEE International Conference on Multimedia and Expo (ICME), 2025. Cites: paper

Retrieval from Dynamic Phrases: Generating Radiograph Reports with Phrase-Level Template and Dynamic Memory Bank
Haoquan Chen, Bin Yan, Hongyu Shen et al. International Joint Conference on Neural Networks (IJCNN), 2025. Cites: paper

RSTA: A Recurrent Scene Topic-Aware Model for Multi-Scene Endoscopic Report Generation
Xinpan Yuan, Junhua Kuang, Liujie Hua et al. International Joint Conference on Neural Networks (IJCNN), 2025. Cites: paper

Towards Automatic Detection of Pneumothorax in Emergency Care with Deep Learning Using Multi-Source Chest X-ray Data
Santiago Ibañez Caturla, Juan de Dios Berná Mestre, Óscar Martínez Mozos. Future Internet, 2025. Cites: dataset, paper

Clinical Verification of AI Models for Radiology Report Annotation Using a Physician-Annotated MIMIC-CXR
Ömer Faruk Özüyağlı, Emre Demirbaş, Buse Nur İleri et al. International Symposium on Innovative Approaches in Smart Technologies (ISAS), 2025. Cites: paper

LCA: A Long-Range Capture Adapter for Efficient Pulmonary Edema Quantification in Chest X-Rays
Yuan Lin, Biao Wang, Dongqi Han et al. International Conference on Biomedical Engineering and Technology (ICBET), 2025. Cites: paper

ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training
Rongsheng Wang, Qingsong Yao, Zihang Jiang et al. Medical Image Analysis, 2025. Cites: paper

Adapter-Based Parameter-Efficient Fine-Tuning for Vision-Language Models in Radiology
M. Arda Aydın, Melih B. Yılmaz, Furkan Genç et al. Signal Processing and Communications Applications Conference (SIU), 2025. Cites: paper

Advancements in Radiology Report Generation: A Comprehensive Analysis
Dima Mamdouh, Mariam Attia, Osama Mohamed et al. Bioengineering, 2025. Cites: paper

Tuberculosis and pneumonia diagnosis in chest X-rays by large adaptive filter and aligning normalized network with report-guided multi-level alignment
Siyuan Lu, Ziquan Zhu, Yudong Zhang et al. Engineering Applications of Artificial Intelligence, 2025. Cites: paper

Chest X-Ray Foundation Model With Global and Local Representations Integration
Zefan Yang, Xuanang Xu, Jiajin Zhang et al. IEEE Transactions on Medical Imaging, 2025. Cites: paper

GIT-CXR: End-to-End Transformer for Chest X-Ray Report Generation
Iustin Sîrbu, Iulia-Renata Sîrbu, Jasmina Bogojeska et al. Information, 2025. Cites: paper

In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review
Amelia Jiménez-Sánchez, Natalia-Rozalia Avlona, Sarah de Boer et al. ACM Conference on Fairness, Accountability, and Transparency (FAccT), 2025. Cites: paper

Joint Imbalance Adaptation for Radiology Report Generation
Wang Li, Guangzeng Han, Yuexin Wu et al. Journal of Healthcare Informatics Research, 2025. Cites: paper

Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations
Mahshad Lotfinia, Arash Tayebiarasteh, Samaneh Samiei et al. European Journal of Radiology Artificial Intelligence, 2025. Cites: paper

Neural Networks and NLP for Medical Imaging Report Generation: A Synergistic Approach
Zhenhao Li, Weihang Yuan, Lei Xu et al. International Conference on Mechatronics, Robotics, and Artificial Intelligence (MRAI), 2025. Cites: paper

PadChest-GR: A Bilingual Chest X-Ray Dataset for Grounded Radiology Report Generation
Daniel C. Castro, Aurelia Bustos, Shruthi Bannur et al. NEJM AI, 2025. Cites: paper

Representation Is All We Need: Performance and Fairness of Google X-ray Foundation Model Representations – A Preliminary Study
Gebreyowhans H. Bahre, Hassan Hamidi, Andrew Sellergren et al. IEEE International Conference on Healthcare Informatics (ICHI), 2025. Cites: paper

SurgiGard: Surgical Instrument Handover Graph-Based Supervision and Robust Detection
Katerina Katsarou, Amira Mouakher, Paul Chojecki et al. IEEE International Conference on Healthcare Informatics (ICHI), 2025. Cites: paper

VICCA: Visual interpretation and comprehension of chest X-ray anomalies in generated report without human feedback
Sayeh Gholipour Picha, Dawood Al Chanti, Alice Caplier. Machine Learning with Applications, 2025. Cites: paper

Automatic Radiology Report Generation Based on State-Space Model
Duo Zhang, Yun Tan, Jiaohua Qin et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Enhancing radiology report generation: A prior knowledge-aware transformer network for effective alignment and fusion of multi-modal radiological data
Amaan Izhar, Norisma Binti Idris, Nurul Binti Japar. Image and Vision Computing, 2025. Cites: paper

Cited by