Publications citing MIMIC-CXR Database v2.1.0

Robust medical image watermarking method based on multi-scale attention and dynamic QR codes
Lina Zhang, Tian Jiang, Jingpeng Zhang et al. Biomedical Signal Processing and Control, 2026. Cites: paper

GAIA: A global, multimodal, multiscale vision–language dataset for remote sensing image analysis
Angelos Zavras, Dimitrios Michail, Xiao Xiang Zhu et al. IEEE Geoscience and Remote Sensing Magazine, 2026. Cites: paper

Unified model with random penalty entropy loss for robust nasogastric tube placement analysis in X-ray
Gwiseong Moon, Kyoung Min Moon, Inseo Park et al. Computerized Medical Imaging and Graphics, 2026. Cites: paper

AI-generated data contamination erodes pathological variability and diagnostic reliability
Hongyu He, Shaowen Xiang, Ye Zhang et al. medRxiv, 2026. Cites: paper

Bridging the performance gap: systematic optimization of local LLMs for Japanese medical PHI extraction
Akihiko Wada, Mitsuo Nishizawa, AKIRA YAMAMOTO et al. Scientific Reports, 2026. Cites: paper

Causal inference for reliable chest X-ray report generation
Haoxiang Liu, Sijun Bao, Shugeng Zhang et al. Knowledge-Based Systems, 2026. Cites: paper

DOCUMED - AI-Powered Comprehensive Health Management Platform
Rithvik K, Srilaya M S, Hritika Nath A et al. International Conference on Communication, Computing and Electronics Systems (ICCCES), 2026. Cites: paper

Trust but verify: Image-aware evaluation of radiology report generators
Sayeh Gholipour Picha, Dawood Al Chanti, Alice Caplier. Machine Learning with Applications, 2026. Cites: paper

Privileged information assisted learning from noisy correspondence
Zihua Zhao, Tianjie Dai, Mengxi Chen et al. Neurocomputing, 2026. Cites: paper

Fairness-Aware Medical Image Analysis for Consumer Electronics Under Imbalanced Data
Yurong Yu, ChunNian Liu, Chinmay Chakraborty et al. IEEE Transactions on Consumer Electronics, 2026. Cites: paper

MAP-GR: medical aware prompt and graph-guided reasoning for enhanced medical visual question answering
Yuhai Yu, Xinghao Li, Jiana Meng et al. Neurocomputing, 2026. Cites: paper

Multimodal Radiology Knowledge Graph Generation Using Vision Language Models (Preprint)
Abdullah Abdullah, Seong Tae Kim. 2026. Cites: paper

The evolving landscape of few shot learning in medical image diagnosis a scoping review
Gauhar Ali, Sajid Shah, Mohammed AElAffendi et al. Discover Applied Sciences, 2026. Cites: paper

Recent Progress in Deep Learning for Chest X-Ray Report Generation
Mounir Salhi, Moulay A. Akhloufi. BioMedInformatics, 2026. Cites: paper

A multimodal vision–language model for generalizable annotation-free pathology localization
Hao Yang, Hong-Yu Zhou, Jiarun Liu et al. Nature Biomedical Engineering, 2026. Cites: paper

Hybrid framework for lesion-aware, clinically coherent chest X-ray report generation using contrastive learning and large language models
Won-Jun Noh, Sun-Woo Pi, Byoung-Dai Lee. Scientific Reports, 2026. Cites: paper

Implementing XAI in life sciences: Key challenges and pathways to solutions
ONDREJ KREJCAR, Jamaluddin Abdullah, Hamidreza Namazi. Artificial Intelligence in the Life Sciences, 2026. Cites: paper

Adaptive Early Fusion of Clinical Bag-of-Words and Chest X-Ray Deep Features for Pulmonary Disease Diagnosis
Phuoc-Hai Huynh, Thi-Diem Truong. Communications in computer and information science, 2026. Cites: paper

ALV-Net: Adaptive Language and Visual Feature Fusion for Radiology Report Generation
Longyang Guo, Pengyao Xu, Ruixia Liu. Lecture notes in computer science, 2026. Cites: paper

A Radiology Report Generation Model Based on Boosting Cross-Modal Information Joint Memory Alignment
Zhiqiang Zheng, Enhe Liang, Zhi Weng et al. IEEE Signal Processing Letters, 2026. Cites: paper

A roadmap for medical large language models: a review of foundations, applications, and challenges
Yu-Yang Sha, Li Yu, Ze-Hui Lin et al. Military Medical Research, 2026. Cites: paper

Artificial Intelligence in Medical Informatics: From Algorithms to Clinical Practice—A Survey
Yu-Fan Luo, Dechao Bu, Yang Wu et al. Journal of Computer Science and Technology, 2026. Cites: paper

A Two-Stage Textual Preprocessing Pipeline for Medical Image Captioning
Sebastián Rascón-Cervantes, Graciela María de Jesús Ramírez-Alonso, Adrián Pastor López-Monroy et al. Lecture notes in computer science, 2026. Cites: paper

A User-Centric Analysis of Explainability in AI-Based Medical Image Diagnosis
Julia Wagner, Tim Schlippe. Communications in computer and information science, 2026. Cites: paper

Comparison of Deep Learning Architectures for Automated Breast Ultrasound Report Generation
Shaheen Khatoon, Anas Mahdaoui, Azhar Mahmood. Lecture notes in electrical engineering, 2026. Cites: paper

Concept-Enhanced Hypergraph-Guided Medical Image Retrieval Using CUI Semantics
Muhammad Saad, Md. Hasan Emam, Md. Ibrahim Sani et al. IEEE Access, 2026. Cites: paper

Conformal Prediction in the Age of Multimodal Foundation Models: A Survey
Christian Stavan, Kunal Tilaganji, Sai Mathura Krishnan et al. Lecture notes in computer science, 2026. Cites: paper

Contrastive Learning with Feature Space Interpolation for Retrieval-Based Chest X-Ray Report Generation
Zahid Ur Rahman, Gwang-Hyun Yu, Jin Lee et al. Applied Sciences, 2026. Cites: paper

Convergent Generative Adversarial Networks for Medical Report Generation With Visual Manifold Graph
Yuan Wang, Shijie Xu, Kun Zhou et al. IEEE Access, 2026. Cites: paper

Correlate-MobileCap: A Framework for Diagnostic Report Generation Using Lesion and Disease Information
Yuning Shi, Masaomi Kimura. Lecture notes in electrical engineering, 2026. Cites: paper

Cross-modal Memory Alignment Framework With Disease Aware Contrastive Learning for Radiology Report Generation
Shuaipeng Ding, Mengnan Fan, Mingyong Li. Lecture notes in computer science, 2026. Cites: paper

CS-TTA: Preserving Concept Sensitivity in Test-Time Adaptation
Junah Jung, Yeon Gyu Han, Chang Min Park et al. Lecture notes in computer science, 2026. Cites: paper

Decoupling Target Semantics via Text-Anchored Visual Contrast for Semi-Supervised Medical Image Segmentation
Qingjie Zeng, Huan Luo, Xinke Ma et al. IEEE Transactions on Image Processing, 2026. Cites: paper

DeepSeek and multimodal AI in healthcare: enabling precision diagnosis and smart clinical decision support
Anuradha Dhull, Akansha Singh, Saanvi Vashist et al. Elsevier eBooks, 2026. Cites: paper

Democratizing Medical Imaging: Knowledge Distillation for Lightweight Multi-label AI Models
Shlok Belgamwar, Madhuri Wakode, Geetanjali Kale. Lecture notes in networks and systems, 2026. Cites: paper

DFI-GNN: A Dual-Feature Interaction Graph Neural Network Model for Multimodal Medical Image Classification
Meng Yu, Lijuan Sun, Yutong Gao et al. Lecture notes in computer science, 2026. Cites: paper

Dynamic Traceback Learning for Medical Report Generation
Shuchang Ye, Mingyuan Meng, Mingjian Li et al. IEEE Transactions on Multimedia, 2026. Cites: paper

Dynamic Weighting and Aggregation in Multimodal Federated Learning for Disease Prediction
Ali Anaissi, Lesley Manantan, Niushad Saeed et al. Lecture notes in computer science, 2026. Cites: paper

ECHO: Efficient Chest X-Ray Report Generation with One-Step Block Diffusion
Lifeng Chen, Tianqi You, Hao Liu et al. Lecture notes in computer science, 2026. Cites: paper

Evaluating Explainability: Metrics, Benchmarks, and Human-Centered Evaluation Methods
Neda Yousefi, Azadeh Zamanifar. Springer eBooks, 2026. Cites: paper

Handling Missing Modalities in Multimodal Federated Learning for Healthcare Data Analytics
Vichayuth Ngamsittipong, Jakkaphat Jumratboonsom, Thannatorn Thongsuk et al. Communications in computer and information science, 2026. Cites: dataset

Impact of Preprocessing Methods on Racial Encoding and Model Robustness in CXR Diagnosis
Dishantkumar Sutariya, Eike Petersen. Informatik aktuell, 2026. Cites: paper

Implementing AI in Neuroradiology
Ramkumar Rajabathar Babu Jai Shanker, Amogh Shetty, Daniel Thomas Ginat. Springer eBooks, 2026. Cites: paper

Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification
Payel Bhattacharjee, Fengwei Tian, Geoffrey D. Rubin et al. IEEE Access, 2026. Cites: paper

Leveraging Large-Scale Public Data for Artificial Intelligence-Driven Chest X-Ray Analysis and Diagnosis
Farzeen Khalid Khan, Waleed Bin Tahir, Mu Sook Lee et al. Diagnostics, 2026. Cites: paper

MedCure: Medical Data Curation for Efficient Vision–Language Pretraining
Chong Wang, Fengbei Liu, Yuyuan Liu et al. IEEE Transactions on Image Processing, 2026. Cites: paper

Medical Vision Language Model With Multi-granularity Alignment and Learning Data Augmentation
Daoqiang Gao, Yang Hua, Wenjie Zhang et al. Lecture notes in computer science, 2026. Cites: paper

Multimodal AI for Medical Imaging: Combining Vision Models with LLMs for Enhanced X-Ray Analysis
Hamza Salem, Marko Pezer, Muhammad Naveed Zafar et al. Lecture notes on data engineering and communications technologies, 2026. Cites: paper

Multimodal Intelligence for Healthcare: Combining Text and Medical Images Through Vision-Language Models
Charanpreet Kaur, Nishtha Hooda. Lecture notes in computer science, 2026. Cites: paper

Multi-View and Multi-Label Analysis of Chronic Obstructive Pulmonary Disease Through Transfer Learning and eXplainable AI from Chest X-Rays
Paolo Justin Co, Reginald Neil C. Recario. Lecture notes in networks and systems, 2026. Cites: dataset, paper

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