Publications citing MIMIC-CXR Database v2.1.0

A Systematic Review on Application of Multimodal Learning and Explainable AI in Tuberculosis Detection
Barbara Nansamba, Joyce Nakatumba Nabende, Andrew Katumba et al. IEEE Access, 2025. Cites: dataset

A Transformer Models Customization Pipeline for Radiology Text Reports Prediction Based on Frontal and Lateral Chest-X-Ray Images
Abdelfettah Elaanba, Mohammed Ridouani, Larbi Hassouni. Lecture notes in networks and systems, 2025. Cites: paper

Benchmark image and clinical datasets for analysis in the medical system
Sathiya Narayanan, L. Jani Anbarasi, J. Jenifa Sharon et al. Elsevier eBooks, 2025. Cites: paper

Chest X-Ray Report Generation Using Abnormality Guided Vision Language Model
Dasith Edirisinghe, Wimukthi Nimalsiri, Mahela Hennayake et al. IEEE Access, 2025. Cites: paper

Cracking the clinical code: A scoping review on mechanistic interpretability in medical report generation
Dost Muhammad, Muhammad Salman, Malika Bendechache. Computational and Structural Biotechnology Reports, 2025. Cites: paper

Cross-Modal Augmented Transformer for Automated Medical Report Generation
Yuhao Tang, Ye Yuan, Fei Tao et al. IEEE Journal of Translational Engineering in Health and Medicine, 2025. Cites: paper

Cross-Modal Translation for Medical Images Augmentation Based on Diagnosis Reports
Xingren Wang, Sixing Yin, Wenyu Yin et al. Lecture notes in electrical engineering, 2025. Cites: paper

Data-Efficient Radiology Report Generation via Similar Report Features Enhancement
Yanfeng Li, Jinghan Sun, Liansheng Wang. Lecture notes in computer science, 2025. Cites: paper

Detecting Unforeseen Data Properties with Diffusion Autoencoder Embeddings Using Spine MRI Data
Robert Graf, Florian Hunecke, Soeren Pohl et al. Lecture notes in computer science, 2025. Cites: paper

Detection of Malicious Clients in Federated Learning Using Graph Neural Network
Anee Sharma, Ningrinla Marchang. IEEE Access, 2025. Cites: paper

Domain-Specialized Large Language Models for Last Mile Delivery Optimization: A Comprehensive Framework
Kalyan Chakravarthy K. SSRN Electronic Journal, 2025. Cites: paper

Domain-Specific Robustness Evaluation of Vision-Language Models
Mario Koddenbrock, Rudolf Hoffmann, David Brodmann et al. SSRN Electronic Journal, 2025. Cites: paper

DuCo-Net: Dual-Contrastive Learning Network for Medical Report Retrieval Leveraging Enhanced Encoders and Augmentations
Zahid Ur Rahman, Ju-Hwan Lee, Dang Thanh Vu et al. IEEE Access, 2025. Cites: paper

Eliminating Non-Overlapping Semantic Misalignment for Cross-Modal Medical Retrieval
Zeqiang Wei, Zeyi Hou, Xiuzhuang Zhou. IEEE Signal Processing Letters, 2025. Cites: paper

Enhancing Zero-shot Learning in Chest X-ray Diagnostics using BioBERT for Textual Representation
Prakhar Bhardwaj, Sheethal Bhat, Andreas Maier. Informatik aktuell, 2025. Cites: paper

Evaluating the Performance of Deep Learning Model and Junior Radiologists in Reading Major Pathologies on Chest X-Rays: A Population-Based, Multi-reader Study
Jakub Dandár, Jiří Gerold, Jan Křístek et al. Lecture notes in electrical engineering, 2025. Cites: paper

Gaze-and-Machine Dual-Driven Attention Fusion Network for Medical Image Classification
Qifa Peng, Shuang Zhu, Yong R. Su et al. Lecture notes in computer science, 2025. Cites: paper

Healthcare Informatics: Transforming Patient Care with Multimodal Machine Learning
Pradeep Achan, Namrata Nair, Sankaran Narayanan. Springer handbooks, 2025. Cites: paper

Interpretability of AI race detection model in medical imaging with saliency methods
Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz et al. Computational and Structural Biotechnology Journal, 2025. Cites: paper

Knowledge Graph-Enhanced Vision-to-Language Multimodal Models for Radiology Report Generation
Yongli Mou. Lecture notes in computer science, 2025. Cites: paper

LLM-Driven Chest X-Ray Report Generation With a Modular, Reduced-Size Architecture
Talles Viana Vargas, Hélio Pedrini, André Santanchè. Lecture notes in computer science, 2025. Cites: paper

MCA: Multimodal Contrastive Augmentation for Medical Report Generation
Junyi Liu, Tao Wan, Zengchang Qin. Lecture notes in computer science, 2025. Cites: paper

Medical Computer Vision
Amar H. Deshpande, Shilpa S. Borkar, Jagdish Baheti. Algorithms for intelligent systems, 2025. Cites: paper

Medical Report Generation With Knowledge Distillation and Multi-Stage Hierarchical Attention in Vision Transformer Encoder and GPT-2 Decoder
Hilya Tsaniya, Chastine Fatichah, Nanik Suciati et al. IEEE Access, 2025. Cites: paper

Medical Visual Question Answering: A Systematic Review
Huy Le, Anh Quan, Thien Trang Ly et al. Lecture notes in networks and systems, 2025. Cites: paper

MFTrans: An Extensible Transformer-Based Medical Multimodal Data Fusion Method for Clinical Diagnosis
Xinlong Liu, Chunping Li. Communications in computer and information science, 2025. Cites: paper

MOSAIC: A Multimodal Self-supervised Transformer for Medical Image Diagnosis
Farah Oubelkas, Zakaria Benhaili, Lahcen Moumoun et al. Lecture notes in networks and systems, 2025. Cites: paper

Multi-Branch CNN-LSTM Fusion Network-Driven System With BERT Semantic Evaluator for Radiology Reporting in Emergency Head CTs
Selene Tomassini, Damiano Duranti, Abdallah Zeggada et al. IEEE Journal of Translational Engineering in Health and Medicine, 2025. Cites: paper

Multi-Grained Vision-and-Language Model for Medical Image and Text Alignment
Huimin Yan, Xian Yang, Liang Bai et al. IEEE Transactions on Multimedia, 2025. Cites: paper

Multi-Label Classification of Vindr-CXR Dataset Using Transfer-Learning Approach
Ruchika Arora, Indu Saini, Neetu Sood. Procedia Computer Science, 2025. Cites: paper

Multimodal artificial intelligence models for radiology
Amara Tariq, Imon Banerjee, Hari Trivedi et al. BJR|Artificial Intelligence, 2025. Cites: paper

Multi-Modality and Multi-Grained Transformer for Accurate Radiology Report Generation
Hongzhao Li, Liangzhi Zhang, Xiangrong Zhong et al. Lecture notes in computer science, 2025. Cites: paper

Multimodal Large Language Models in Medical Imaging: Current State and Future Directions
Yoojin Nam, D. Kim, Sunggu Kyung et al. Korean Journal of Radiology, 2025. Cites: paper

Multimodal Medical Image Analysis: Integrating LLM and RAG Deep Learning Strategies
Hanrui Yan, Dan Shao. Journal of Advances in Information Technology, 2025. Cites: paper

Multimodal transformers for joint diagnosis and retrieval from chest X-rays and radiology reports
Mojtaba Jahanian, Abbas Karimi, Nafiseh Osati Eraghi et al. Informatics in Medicine Unlocked, 2025. Cites: paper

Natural Language Processing and Machine Learning for Analysis of Radiology Reports: A Systematic Review
Umay Kulsoom, Frank G. Glavin, Malika Bendechache. IEEE Access, 2025. Cites: paper

PLZero: placeholder based approach to generalized zero-shot learning for multi-label recognition in chest radiographs
Chengrong Yang, Qiwen Jin, Fei Du et al. Complex & Intelligent Systems, 2025. Cites: paper

Preventing Sensitive Information Leakage via Post-hoc Orthogonalization with Application to Chest Radiograph Embeddings
Tobias Weber, Michael Ingrisch, Bernd Bischl et al. Lecture notes in computer science, 2025. Cites: paper

Prompting to Bridge the Gap: Accelerating Research in Multi-Modal Medical Report Generation for Alzheimer’s Disease
Arkaprabha Basu, Avisek Gupta, Swagatam Das et al. Procedia Computer Science, 2025. Cites: paper

Quality Improvement of X-Ray Medical Images
S. C. Datta, Khalid Saeed, Nabendu Chaki. Studies in computational intelligence, 2025. Cites: paper

Radiology Report Annotation Using Generative Large Language Models: Comparative Analysis
Bayan Altalla’, Ashraf Ahmad, Layla Bitar et al. International Journal of Biomedical Imaging, 2025. Cites: paper

The Application of Foundation Models in Radiology: Bridging Images, Reports, and Beyond
Dongheon Lee. Journal of the Korean Society of Radiology, 2025. Cites: paper

Towards Robust Zero-shot Chest X-ray Classification
Sheethal Bhat, Adarsh Bhandary Panambur, Awais Mansoor et al. Informatik aktuell, 2025. Cites: paper

UlcerGPT: A Multimodal Approach Leveraging Large Language and Vision Models for Diabetic Foot Ulcer Image Transcription
Reza Basiri, Ali Abedi, Chau Duc Minh Nguyen et al. Lecture notes in computer science, 2025. Cites: paper

Underdiagnosis Bias Mitigation With Expert Foundation Model’s Representation
Gebreyowhans H. Bahre, Hassan Hamidi, Andrew Sellergren et al. IEEE Access, 2025. Cites: paper

VAMP: Visual Attribute-Guided Multi-dimensional Perception for Nasal Endoscopy Report Generation
Xinpan Yuan, Jianuo Ju, Liujie Hua et al. Lecture notes in computer science, 2025. Cites: paper

VTAG: Visual-Textual Association Guided Radiology Reports Generation
Zhaoli Su, Yucong Lin, Hong Song et al. IEEE Transactions on Image Processing, 2025. Cites: paper

XR-Diffusion: A Robust Framework for High-Quality Chest X-ray Synthesis
Jialin Liu, Liping Sun, Weijie Du. Lecture notes in electrical engineering, 2025. Cites: paper

DR-Minerva: A Multimodal Language Model Based on Minerva for Diagnostic Information Retrieval
Irene Siragusa, Salvatore Contino, Roberto Pirrone. Lecture notes in computer science, 2024. Cites: paper

Visual-linguistic Diagnostic Semantic Enhancement for medical report generation
Jiahong Chen, Guoheng Huang, Xiaochen Yuan et al. Journal of Biomedical Informatics, 2024. Cites: paper

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