Publications citing MIMIC-CXR Database v2.1.0

AttENet: An Attention-Oriented Feature Enhancement Network for Automatic Chest X-Ray Report Generation
Zhiqiang Zheng, Y Zhang, Zhi Weng et al. International Conference on Intelligent Computing and Signal Processing (ICSP), 2026. Cites: paper

Knowledge enhancement with cross-modal fusion network for radiological report generation
Zonglin LIANG, Xiaodi Hou, Xiangkang Song et al. Multimedia Systems, 2026. Cites: paper

Automated Chest X-Ray Report Generation Using Vision-Language Models: a Llama 3.2 Based Approch
Mithila Arman, Reduanul Bari Shovon, Sonet Barua Emon et al. IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN), 2026. Cites: paper

Medical multimodal large language models: A survey
Hanguang Xiao, Ningzhi Hui, Yong Xu et al. Information Fusion, 2026. Cites: paper

PneumoDetect: AI-Assisted Chest Radiograph Analyzer
M. Vimaladevi, R Thangamani, K Dhivyasubashini et al. International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA), 2026. Cites: paper

How Low Can Medical Llms Go? an Empirical Study of Low-Bit Quantization
Tanha Tasfia, Abu Kaisar Mohammad Masum, Emilien Meyer et al. IEEE Dallas Circuits and Systems Conference (DCAS), 2026. Cites: paper

AI-assisted synthetic medical report generation using radiomic feature correlation-based PCA scores of multimodal data for dementia progression
Anil Baris Cekderi, Shuli Guo, Lina Han. Information Fusion, 2026. Cites: paper

Clinical evaluation of an AI-based pneumonia detection system on chest CT: a qualitative and quantitative analysis
H. Sekkat, Youssef Madkouri, Abdellah Khallouqi et al. Emergency Radiology, 2026. Cites: paper

D2MNet: Difference-Aware Decoupling and Multi-Prompt Learning for Medical Difference Visual Question Answering
Lingge Lai, Weihua Ou, Jianping Gou et al. Journal of Imaging, 2026. Cites: paper

A Pair-Weighing Strategy for Enhancing Clip Zero-Shot Classification for Chest X-Rays
Ibrahim Altufayli, Massimiliano Ciranni, Carlo Alberto Barbano et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2026. Cites: paper

Clinically Grounded Radiology Report Generation via Explanation-Guided Policy Optimization
Md. Touisn Akhter, Harsh Chaurasia, Sachindra Joshi et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2026. Cites: paper

Deep Learning Based Foreign Object Detection in Medical Imaging Using ResNet50, MobileNetV2 and YOLOv8-Cls: A Comparative Study
Poonam Verma, Sandeep Mathur, Shachi Mall. International Conference on Computing for Sustainable Global Development, 2026. Cites: paper

Expert Model Guided Visual Programming for Radiology Report Generation
Zizhe Liu, Moshu Xu. IEEE International Symposium on Biomedical Imaging (ISBI), 2026. Cites: paper

Handling Supervision Scarcity in Chest X-Ray Classification: Long-Tailed and Zero-Shot Learning
Ha-Hieu Pham, Hai-Dang Nguyen, T U O N G Nguyen et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2026. Cites: paper

MEDQUA: A NISQ-Aware Quantum Adapter for Medical Vision–Language Models
Yiwei Li, Yi Pan, Junhao Chen et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2026. Cites: paper

Multi-Scale Attention Framework with Transformer Architecture for Explainable Chest X-Ray Report Generation
Ahmed Bouridane, Nabil Hezil, Rifat Hamoudi et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2026. Cites: paper

Radgaze-LLM: Anatomical Region-Grounded Radiology Report Generation via Learning From Expert Gaze
Jamalia Sultana, Ruwen Qin, Zhaozheng Yin. IEEE International Symposium on Biomedical Imaging (ISBI), 2026. Cites: paper

X-Plain: Vision-Language Knowledge Distillation for Interpretable Chest X-Ray Diagnosis
Supriyo Sadhya, Xiaojun Qi. IEEE International Symposium on Biomedical Imaging (ISBI), 2026. Cites: paper

A unified multimodal framework for chest X-ray retrieval and disease prediction for clinical decision support
Phu Duc Do, Hao Ngoc Nguyen Van, Viet Hoai Vo. Computers in Biology and Medicine, 2026. Cites: paper

Data Augmentation Strength, Training Stability, and Clinical Trade-Offs in Transfer Learning for Chest X-ray Pneumonia Classification
Ackley Dias Will. Cureus, 2026. Cites: paper

A Cross-Modal Retrieval Framework for Radiology Reports and Chest X-Ray Images
Vijayalaxmi Mekali, M. P. Sowbhagya, H D Aparna et al. Engineering Technology & Applied Science Research, 2026. Cites: paper

Diffusion-synthesized Chest X-rays improve fairness and diagnostic performance
Dawood Rehman, Huanyu Chen, Chi-Chun Lee et al. PLOS Digital Health, 2026. Cites: paper

CT‑RetrievR: fine‑grained retrieval‑based report generation for 3D CT imaging
Lukas Buess, Paula Andrea Pérez-Toro, Siming Bayer et al. SPIE Medical Imaging: Computer-Aided Diagnosis, 2026. Cites: paper

Enhancing lung diseases recognition through CNN-RNN methodologies
Israt Ara Zahin, Fardin Ahsan, Ramisa Anan Orni et al. Scientific Reports, 2026. Cites: paper

Learning with less supervision: A survey of label-efficient learning for medical image analysis
Cheng Jin, Zhengrui Guo, Yi Lin et al. Medical Image Analysis, 2026. Cites: paper

Advancing radiograph representation learning via cascading graph alignment for vision-language clinical concepts
Xilin Dang, Kang Li B, Pheng‐Ann Heng. Medical Image Analysis, 2026. Cites: paper

GSFNet: Graph-based semantic fusion network for multi-label image classification
Jie Guo, Junhao Zhu, Lei Wang et al. Journal of Information and Intelligence, 2026. Cites: paper

Towards generalizable pathology reports via a multimodal LLM with the multicenter in-context learning
Yi Li, Zhihao Lin, Qixiang Zhang et al. Medical Image Analysis, 2026. Cites: paper

An Empirical Study of Dataset Size Effects on Fine-Tuning Depth in Transfer Learning for Chest X-ray Classification
Ackley Dias Will, Jordan Sarkodie. Cureus, 2026. Cites: paper

Thought graph traversal for test-time scaling in chest X-ray VLLMs
Yue Yao, Zelin Wen, Yan Tong et al. Pattern Recognition, 2026. Cites: paper

Enhancing chest X-ray report generation with pathology-guided prompts and vision-language shortcut bias mitigation
Mohammad Barzegar, Habib Rostami, Amir Sanati et al. Biomedical Signal Processing and Control, 2026. Cites: paper

Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models
Melih Yilmaz, Şaban Öztürk, Muti Kara et al. IEEE Journal of Biomedical and Health Informatics, 2026. Cites: paper

Site-Level fine-tuning with progressive layer freezing: Towards robust prediction of bronchopulmonary dysplasia from day-1 chest radiographs in extremely preterm infants
Sybelle Goedicke‐Fritz, Michelle Bous, Annika Engel et al. Machine Learning with Applications, 2026. Cites: paper

AI-Assisted Pneumonia Detection, Localisation and Report Generation from Chest X-rays
Federico Boiardi, Antoine D. Lain, Joram Matthias Posma. medRxiv, 2026. Cites: paper

Cross-domain chest radiograph report generation: an audit-oriented bidirectional transfer study using MIMIC-CXR and IU X-Ray (Preprint)
Yishan Sun, Jun Jiang, Yu Chen. 2026. Cites: paper

Optimizing real-time phenotyping in critical care using machine learning on electronic health records
Piotr Picheta, Stanisław R. Deniziak. Expert Systems with Applications, 2026. Cites: paper

Foundation Models for Volumetric Medical Imaging: Opportunities, Challenges, and Future Directions
Tapotosh Ghosh, Farnaz Sheikhi, Junlin Guo et al. Electronics, 2026. Cites: paper

A comprehensive review of temporal reasoning with multimodal LLMs: Foundations, challenges, and healthcare applications
Marouene Chaieb, Nour Ben Ameur, Wadii Boulila. Computer Science Review, 2026. Cites: paper

Med-ViX-Ray: Enhancing explainable chest X-ray analysis with clinical knowledge graphs
Manuel Cieri, Fabio Palomba. Computer Methods and Programs in Biomedicine, 2026. Cites: paper

CAM-Guided Radiology Report Generation
Mingjun Lyu. International Conference on Bioinformatics and Intelligent Computing (BIC), 2026. Cites: paper

Clinical AI in Radiology: Foundations, Trends, Applications, and Emerging Directions
Iryna Hartsock, Nikolas Koutsoubis, Sabeen Ahmed et al. Cancers, 2026. Cites: paper

Task-specific models vs. large vision-language models in medical visual question answering: A survey
Huahu Xu, Qishen Chen, Wenxuan He et al. Expert Systems with Applications, 2026. Cites: paper

A review on artificial intelligence-based medical image enhancement and generation
Dong Seop Kim, Jung Soo Kim, Seong In Jeong et al. Applied Soft Computing, 2026. Cites: paper

Multimodal artificial intelligence for disease diagnosis: Advances, applications, and challenges
Qing Cai, Shaozhe Wang, Fan Zhang et al. Pattern Recognition, 2026. Cites: paper

Knowledge-Guided and Reinforced Selective State Space Model for radiology report generation
Ziyang Li, Dedong Yang, Rongtao Li et al. Journal of Biomedical Informatics, 2026. Cites: paper

brat : Aligned Multi-View Embeddings for Brain MRI Analysis
Maxime Kayser, Maksim Gridnev, Wanting Wang et al. IEEE Winter Conference on Applications of Computer Vision, 2026. Cites: paper

Dual-Domain Multimodal Hyperbolic Fusion for Cardiopulmonary Disease Diagnosis in Emergency Care
Ke Nan, Maggie Samaan, Benjamin Burns et al. IEEE Winter Conference on Applications of Computer Vision, 2026. Cites: paper

Evidence-Guided Diagnostic Reasoning for Pediatric Chest Radiology Based on Multimodal Large Language Models
Yuze Zhao, Q R Wang, Yingwen Wang et al. Journal of Imaging, 2026. Cites: paper

HiMix : Hierarchical Visual-Textual Mixing Network for Lesion Segmentation
Soojin Hwang, Jaeyoon Sim, Won Hwa Kim. IEEE Winter Conference on Applications of Computer Vision, 2026. Cites: paper

Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding
Jun Li, C H Liu, Wenjia Bai et al. IEEE Winter Conference on Applications of Computer Vision, 2026. Cites: paper

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