Publications citing MIMIC-CXR Database v2.1.0

Hallucination Detection and Correction in Medical VLMs via Counter-Evidence Verification
Nan Zhou, Ke Zou, M Y Liu et al. Lecture notes in computer science, 2026. Cites: paper

LoFi: Location-Aware Fine-Grained Representation Learning for Chest X-Ray
Myeongkyun Kang, Yanting Yang, Xiaoxiao Li. Lecture notes in computer science, 2026. Cites: paper

MEC: Medical Evidence Capsules for Retrieval-Augmented Generation in Medical Multimodal Question Answering
Zhenghua Xu, Xinwei Dai, Bo Wang et al. Lecture notes in computer science, 2026. Cites: paper

Medical Image Spatial Grounding with Semantic Sampling
Andrew Yu, Mohsen Hariri, Kunio Nakamura et al. Lecture notes in computer science, 2026. Cites: paper

MedTri: Structured Medical Report Normalization for Enhanced Vision–Language Pretraining
Yuetan Chu, Xinghua Ma, Xinran Jin et al. Lecture notes in computer science, 2026. Cites: paper

Precision Recall Controllable Radiology Report Generation via Hybrid Natural Language and Clinical Reward Learning
Ling Chen, Ruinan Jin, Jun Luo et al. Lecture notes in computer science, 2026. Cites: paper

RadSLDP: Selective Local Differential Privacy for Radiology Vision-Language Models
Konghao Zhao, Xinyang Xu, Ruge Xu et al. Lecture notes in computer science, 2026. Cites: paper

Seeing Through Multiple Views: Parameter-Efficient Fine-Tuning via Selective Neurons for Consistent Radiology Report Generation
Yucheng Chen, Jinjing Zhu, Yang Yu et al. Lecture notes in computer science, 2026. Cites: paper

Synergistic Perception-Reasoning Governance: Grounding Medical MLLMs with Verifiable Anatomical Evidence
Rui Hao, Qiankun Li, Junyuan Mao et al. Lecture notes in computer science, 2026. Cites: paper

TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation
Zhixiang Lu, Xiwei Liu, Sifan Song et al. Lecture notes in computer science, 2026. Cites: paper

The RATAB Framework: An Interpretable AI-Driven Radiographic Risk Stratification Model for Suspected Lung Lesions
Emir Gökhan Kahraman, Joseph Cohen, Özlem Özdemir et al. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

A Lightweight Approach for Improving VLM Accuracy for Medical Usage
Mihai Gherghinescu, Todor Ivaşcu, Sebastian-Aurelian Ştefănigă et al. Communications in computer and information science, 2026. Cites: paper

Evaluating large language models for lay summaries of radiology reports using tailored prompting strategies and mixed-method assessment
Nanziba Tasneem, Christian B. van der Pol, Ambreen Zahoor et al. PLOS Digital Health, 2026. Cites: paper

Calibrated per-pixel uncertainty for low-dose paediatric chest-radiograph denoising at no fidelity cost
Samuel Tekle Mengistu, Kyriakos Flouris. medRxiv, 2026. Cites: paper

Cross-Domain Chest Radiograph Report Generation Under Dataset Shift: Bidirectional Audit Study
Yishan Sun, Jun Jie Jiang, Yu Chen. JMIR Medical Informatics, 2026. Cites: paper

Mixture-of-experts and gating mechanisms in multimodal biomedical learning: a routing-centric analysis
Ba-Duy Nguyen, Van-Dung Hoang, Hien D. Nguyen. Network Modeling Analysis in Health Informatics and Bioinformatics, 2026. Cites: paper

GAA-DETR: Query-level gaze alignment for end-to-end lesion detection
Yan Kong, Sheng Wang, Yuan Yin et al. Medical Image Analysis, 2026. Cites: paper

Resolution-dependent self-supervised transfer in chest radiograph classification
Soroosh Tayebi Arasteh, Mina Shaigan, Christiane Katharina Kuhl et al. Communications Medicine, 2026. Cites: paper

Symmetric Siamese Networks for Longitudinal Chest Radiograph Change Detection: A Leakage-Controlled Study on MIMIC-CXR
Şahin Işık, Hakan Alp Eren. Tomography, 2026. Cites: paper

Principled Bayesian marginalization of uncertain labels in chest X-ray classification
Subhrajit Saha, Sthitadhi Das. Spatial Statistics, 2026. Cites: paper

AI-assisted multimodal data integration for precision oncology
Alexandra Chera, Ana-Maria Chirilaș, Amada El-Sabeh et al. Frontiers in Artificial Intelligence, 2026. Cites: paper

Automated chest X-ray disease screening using large language models and deep convolutional neural networks on the MIMIC-CXR dataset
Qingyu Zhang, Pardeep Vasudev, Kezhi Li et al. Frontiers in Digital Health, 2026. Cites: paper

Lesion-aware visio-linguistic context regularization for radiology report generation
Guanqun Sun, Yunbin Tu, Yingying Zhu et al. Medical Image Analysis, 2026. Cites: paper

Optical compression of multimodal clinical data into a unified visual memory for generative trajectory forecasting
Zongheng Guo, Bo Jin, Zhi Han et al. medRxiv, 2026. Cites: paper

Standardizing longitudinal chest X-ray report evaluation via large language model annotation
Xinyi Wang, Grazziela Figueredo, Ruizhe Li et al. Expert Systems with Applications, 2026. Cites: paper

Detecting temporal clinical change in sequential chest radiography reports: a multi-model and multi-prompt evaluation of large language models
Ertürk Erdağı. Frontiers in Digital Health, 2026. Cites: paper

Context-Grounded PET-CT Report Generation Using LoRA-Fine-Tuned BioMedLM with Physician Validation and Safety Evaluation
Dibya Prakash, Pramukh Kulkarni, Venkatesh Rangarajan et al. Indian Journal of Nuclear Medicine, 2026. Cites: paper

Multimodal medical diagnosis: a mini review of LLM–vision fusion models in low-resource healthcare settings
Kahakashan Ashraf, Md. Hamid Hosen, Nuzhat Tabassum Farah et al. Frontiers in Digital Health, 2026. Cites: paper

AI-driven techniques for thoracic disease classification in chest radiography: A comprehensive review and critical analysis
Yosra Didi, Ahlem Walha, Ali Wali. Neural Computing and Applications, 2026. Cites: paper

Anatomy-Guided Gated Cross-Attention for Chest X-Ray Visual Question Answering
Ahmet Celal Koç, Vael Kokach, Hasan Mert Yιldιrιm et al. International Artificial Intelligence and Data Processing Symposium (IDAP), 2026. Cites: paper

Attention Concentration Is Not Grounding: Regularizing Q-Former Cross-Attention for Chest X-Ray Report Generation
Ahmet Kaya, Vael Kokach, Elif Başak Yılmaz et al. International Artificial Intelligence and Data Processing Symposium (IDAP), 2026. Cites: paper

Benchmarking the Performance of Vision-Language Models for Radiological Visual Question Answering
Enes Doğan, Aytuğ Onan. International Artificial Intelligence and Data Processing Symposium (IDAP), 2026. Cites: paper

Detecting and Removing Target Leakage in the MIMIC-CXR Dataset for Multimodal Radiology Report Generation
Ali Çınar, Semih Ergi̇n. International Artificial Intelligence and Data Processing Symposium (IDAP), 2026. Cites: paper

FRAM‐Net: Feature Refinement Augmented Multi‐View Fusion Network for Chest X‐Ray Disease Classification
Yanxiang Wang, Chao Song, Dongmei Li et al. International Journal of Imaging Systems and Technology, 2026. Cites: paper

Multimodal Fusion of Radiological Images and Clinical Reports for Multi-Label Chest Disease Detection under Class Imbalance
Zeynep Merve Koyuncu, Sefa Aras. International Artificial Intelligence and Data Processing Symposium (IDAP), 2026. Cites: paper

Visual prompt engineering for multimodal and irregularly sampled medical data
Malte Tölle, Mohamad Scharaf, Samantha Fischer et al. Communications Medicine, 2026. Cites: dataset, paper

Enhancing Image-Text Alignment in Chest X-ray Datasets by Reducing External References via a Fine-Tuned Large Language Model Pipeline
Yu-Ruei Chen, Chang‐Fu Kuo, Ching-Heng Lin. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

Medical data analysis support
Krzysztof Piotr Malinowski, Michał Szafarczyk. Elsevier eBooks, 2026. Cites: paper

Foundation models in medical image analysis: A systematic review and quantitative analysis
Praveenbalaji Rajendran, Mojtaba Safari, Wenfeng He et al. Medical Image Analysis, 2026. Cites: paper

Uncertainty-aware large language models: a scoping review of conformal prediction methods
Alice E. Ashby, Khuong An Nguyen, Zhiyuan Luo. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences, 2026. Cites: paper

HeteroMetaNet: A multimodal meta-learning framework for ischemic stroke prediction from heterogeneous clinical and radiological data
Raghda E. Ali, Reda A. El-Khoribi, Ehab Ezzat Hassanein et al. Biomedical Signal Processing and Control, 2026. Cites: paper

KDMG: knowledge-enhanced dynamic memory and gated fusion for chest X-ray report generation
Jie Xiong, Changfa Wei, Huina Liu. Journal of King Saud University - Computer and Information Sciences, 2026. Cites: paper

Risk Aware Prompt-Guided CNN–LLM Framework for Brain MRI Diagnostic Report Generation
M. Senthamilselvi, Kalavathi Palanisamy. Research Square, 2026. Cites: paper

Comparative Study of CNN, Hybrid, and Transformer Architectures in Medical Image Classification
Dina A. Elkholy, Mohamed S. Shehata, John W. Braun. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

Multimodal graph neural networks for integrating heterogeneous medical data in clinical decision making
K. Adi Narayana Reddy, L. Lakshmi, G. Shyam Chandra Prasad et al. Discover Computing, 2026. Cites: paper

Adaptive data augmentation with constraint-aware reinforcement learning for robust chest X-ray classification
AbdelMoniem Helmy, Muhammad Mahmoud. Biomedical Signal Processing and Control, 2026. Cites: paper

Multimodal Deep Learning for Chest X-Ray Abnormality Classification and Interpretability through Demographic Feature Integration
Sultan Mesfer Aldossary, Samia M. Abd-Alhalem, Magda Algameel et al. Research Square, 2026. Cites: paper

An explainable biomedical foundation model via large-scale concept-enhanced vision–language pretraining
Yuxiang Nie, Sunan He, Yequan Bie et al. Nature Biomedical Engineering, 2026. Cites: paper

Challenges and Opportunities of AI-Assisted Diagnostics for Malaria and Tuberculosis in Africa
Albert Dede, Bridget Maame Kweenuwa Ansah. IntechOpen eBooks, 2026. Cites: paper

From anatomy to diagnosis: A hierarchical post-training framework for lumbar MRI report generation with limited multimodal data
Qunyang Zuo, Zifan Wang, Jiayi Li et al. Array, 2026. Cites: paper

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