Publications citing MIMIC-CXR Database v2.1.0

MOSMOS: Multi-organ segmentation facilitated by medical report supervision
Weiwei Tian, Xinyu Huang, Junlin Hou et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Generating Medical Report via Joint Probability Graph Reasoning
Junsan Zhang, Ming Cheng, Xiangyang Li et al. Tsinghua Science & Technology, 2025. Cites: paper

Decoupled contrastive learning for multilingual multimodal medical pre-trained model
Q.Y. Li, Chen Qiu, Haijiang Liu et al. Neurocomputing, 2025. Cites: paper

Integrating language into medical visual recognition and reasoning: A survey
Yinbin Lu, Alan Wang. Medical Image Analysis, 2025. Cites: paper

ACE: Anatomically Consistent Embeddings in Composition and Decomposition
Ziyu Zhou, Haozhe Luo, Mohammad Reza Hosseinzadeh Taher et al. IEEE Winter Conference on Applications of Computer Vision, 2025. Cites: paper

Fair Domain Generalization with Heterogeneous Sensitive Attributes Across Domains
Ragja Palakkadavath, Hung Lê, Thanh Nguyen-Tang et al. IEEE Winter Conference on Applications of Computer Vision, 2025. Cites: paper

Foundation X: Integrating Classification, Localization, and Segmentation Through Lock-Release Pretraining Strategy for Chest X-Ray Analysis
Nahid Ul Islam, DongAo Ma, Jiaxuan Pang et al. IEEE Winter Conference on Applications of Computer Vision, 2025. Cites: paper

Learning Anatomy-Disease Entangled Representation
Fatemeh Haghighi, Michael B. Gotway, Jianming Liang. IEEE Winter Conference on Applications of Computer Vision, 2025. Cites: paper

MENTOR: Human Perception-Guided Pretraining for Increased Generalization
Colton R. Crum, Adam Czajka. IEEE Winter Conference on Applications of Computer Vision, 2025. Cites: paper

ORID: Organ-Regional Information Driven Framework for Radiology Report Generation
Tiancheng Gu, Kaicheng Yang, Xiang An et al. IEEE Winter Conference on Applications of Computer Vision, 2025. Cites: paper

TempA-VLP: Temporal-Aware Vision-Language Pretraining for Longitudinal Exploration in Chest X-Ray Image
Zhuoyi Yang, Liyue Shen. IEEE Winter Conference on Applications of Computer Vision, 2025. Cites: paper

Conditional Time Series Modeling for Pneumoconiosis Progression Risk Prediction with Missing Data
Xueting Ren, Zijuan Zhao, Liye Jia et al. Cognitive Computation, 2025. Cites: dataset, paper

Large-scale benchmarking and boosting transfer learning for medical image analysis
Mohammad Reza Hosseinzadeh Taher, Fatemeh Haghighi, Michael B. Gotway et al. Medical Image Analysis, 2025. Cites: paper

Missing-modality enabled multi-modal fusion architecture for medical data
Muyu Wang, Shiyu Fan, Yichen Li et al. Journal of Biomedical Informatics, 2025. Cites: paper

Enhancing Chest X-ray Diagnosis with a Multimodal Deep Learning Network by Integrating Clinical History to Refine Attention
Lian Yang, Yiliang Wan, Feng Pan. Journal of Imaging Informatics in Medicine, 2025. Cites: paper

Multimodal Retrieval Method for Images and Diagnostic Reports Using Cross-Attention
Ikumi Sata, Motoki Amagasaki, Masato Kiyama. AI, 2025. Cites: dataset, paper

Enhancing Radiology Report Interpretation with Large-Scale Language Models: A Two-Stage Fine-Tuning Approach
Sun-Woo Pi, M. Park, Byoung-Dai Lee. International Conference on Advanced Communications Technology (ICACT), 2025. Cites: paper

Study-level cross-modal retrieval of chest x-ray images and reports with adapter-based fine-tuning
Yingjie Chen, Weihua Ou, Zhifan Gao et al. Physics in Medicine and Biology, 2025. Cites: paper

A Survey on Multimodal Large Language Models in Radiology for Report Generation and Visual Question Answering
Ziruo Yi, Ting Xiao, Mark V. Albert. Information, 2025. Cites: paper

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology
Anja Thieme, Abhijith Mohan Rajamohan, Benjamin Cooper et al. ACM Transactions on Computer-Human Interaction, 2025. Cites: paper

Hallucination Detection in Foundation Models for Decision-Making: A Flexible Definition and Review of the State of the Art
Neeloy Chakraborty, Melkior Ornik, Katherine Driggs-Campbell. ACM Computing Surveys, 2025. Cites: paper

A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis
Fenglin Liu, Li Zheng, Qingyu Yin et al. npj Digital Medicine, 2025. Cites: paper

Clinical Free Text Summaries and LLMs: A Case Study on LLM-supported Identification of Intellectual Disabilities in Clinical Free Text Summaries (Preprint)
Aleksandra Edwards, Antonio F. Pardiñas, George Kirov et al. 2025. Cites: paper

Vision-Language Models in medical image analysis: From simple fusion to general large models
Xiang Li, Like Li, Yuchen Jiang et al. Information Fusion, 2025. Cites: paper

A Proactive Agent Collaborative Framework for Zero‐Shot Multimodal Medical Reasoning
Zishan Gu, Fenglin Liu, Jiayuan Chen et al. Advanced Intelligent Systems, 2025. Cites: paper

Automated generation of chest X-ray imaging diagnostic reports by multimodal and multi granularity features fusion
Junze Fang, Suxia Xing, Kexian Li et al. Biomedical Signal Processing and Control, 2025. Cites: paper

Foundation Models in Radiology: What, How, Why, and Why Not
Magdalini Paschali, Zhihong Chen, Louis Blankemeier et al. Radiology, 2025. Cites: paper

Denoising Multi-Level Cross-Attention and Contrastive Learning for Chest Radiology Report Generation
Deng Zhu, Lijun Liu, Xiaobing Yang et al. Journal of Imaging Informatics in Medicine, 2025. Cites: paper

Leveraging Contrastive Learning and Domain Prompts for Efficient Radiology Report Generation
Zahid Ur Rahman, Ju-Hwan Lee, Jin Young Kim. The Journal of Korean Institute of Information Technology, 2025. Cites: paper

Automated Radiology Report Labeling in Chest X-Ray Pathologies: Development and Evaluation of a Large Language Model Framework
Abdullah Abdullah, Seong Tae Kim. JMIR Medical Informatics, 2025. Cites: paper

Enhancing Medical Vision-Language Contrastive Learning via Inter-Matching Relation Modeling
Mingjian Li, Mingyuan Meng, MICHAEL J. FULHAM et al. IEEE Transactions on Medical Imaging, 2025. Cites: paper

Adapter-Enhanced Hierarchical Cross-Modal Pre-Training for Lightweight Medical Report Generation
Ting Yu, Wangwen Lu, Yan Qin Yang et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

ADCNet: Anomaly-Driven Cross-Modal Contrastive Network for Medical Report Generation
Yuxue Liu, Junsan Zhang, Kai Liu et al. Electronics, 2025. Cites: paper

Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting
Fenglin Liu, Xian Wu, Jinfa Huang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025. Cites: paper

Engaging Preference Optimization Alignment in Large Language Model for Continual Radiology Report Generation: A Hybrid Approach
Amaan Izhar, Norisma Binti Idris, Nurul Binti Japar. Cognitive Computation, 2025. Cites: paper

Large Language Model Approach for Zero-Shot Information Extraction and Clustering of Japanese Radiology Reports: Algorithm Development and Validation
Yosuke Yamagishi, Yuta Nakamura, Shouhei Hanaoka et al. JMIR Cancer, 2025. Cites: paper

Hypnos: A domain-specific large language model for anesthesiology
Zhonghai Wang, Jie Jiang, Yibing Zhan et al. Neurocomputing, 2025. Cites: paper

CXR-LLaVA: a multimodal large language model for interpreting chest X-ray images
Seowoo Lee, Jiwon Youn, Hyungjin Kim et al. European Radiology, 2025. Cites: paper

Exploring scalable medical image encoders beyond text supervision
Fernando Pérez‐García, Harshita Sharma, Sam Bond-Taylor et al. Nature Machine Intelligence, 2025. Cites: paper

MedFILIP: Medical Fine-Grained Language-Image Pre-Training
Xinjie Liang, Xiangyu Li, Fanding Li et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Cross-Domain Invariant Feature Absorption and Domain-Specific Feature Retention for Domain Incremental Chest X-Ray Classification
Mengchu Wang, Yuhang He, Peng Lin et al. IEEE Transactions on Medical Imaging, 2025. Cites: paper

Multimodal deep learning for predicting in-hospital mortality in heart failure patients using longitudinal chest X-rays and electronic health records
Dengao Li, Wen Xing, Jumin Zhao et al. The International Journal of Cardiovascular Imaging, 2025. Cites: paper

Recalibrated cross-modal alignment network for radiology report generation with weakly supervised contrastive learning
Xiaodi Hou, Xiaobo Li, Zhi Liu et al. Expert Systems with Applications, 2025. Cites: paper

Automatic medical report generation based on deep learning: A state of the art survey
Xinyao Liu, Junchang Xin, Qi Shen et al. Computerized Medical Imaging and Graphics, 2025. Cites: paper

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

Open challenges and opportunities in federated foundation models towards biomedical healthcare
Xingyu Li, Lu Peng, Yu‐Ping Wang et al. BioData Mining, 2025. Cites: paper

A Benchmark for Multi-Task Evaluation of Pretrained Models in Medical Report Generation
Run Lin, Chunxiao Li, Ruixuan Wang. BIO Web of Conferences, 2025. Cites: paper

A Comprehensive Review of Medical Image Captioning: Techniques, Challenges, and Future Directions
Mallemputi Sai Teja, Chinta Vijaya Pandu Ranga Reddy, U Muthaiah et al. Communications in computer and information science, 2025. Cites: paper

Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic Granularity
Hanqi Jiang, Xixuan Hao, Yuzhou Huang et al. Lecture notes in computer science, 2025. Cites: paper

An Explainable Deep – Learning based Multi-Label Image Classification for Chest X-Rays
Maya Thapa, Ravreet Kaur. Procedia Computer Science, 2025. Cites: paper

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