Publications citing MIMIC-CXR-JPG - chest radiographs with structured labels v2.1.0

Predicting Findings from Radiology Indication Text: BERT vs Naïve Bayes Classification
Anthony F. Peressini. Journal of Imaging Informatics in Medicine, 2026. Cites: dataset

Curriculum-guided adaptive representation decoupling for multimodal semi-supervised chest disease classification
Suli Wang, ShengYong Ding. Medical & Biological Engineering & Computing, 2026. Cites: dataset

CXR-CoRe: Two-Stage View- and Section-Aware Study-Level Chest X-ray Report Retrieval
Yan Tian, Jianbing Ma. Journal of Imaging Informatics in Medicine, 2026. Cites: dataset

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: dataset

A Federated Multimodal Framework for Sepsis Mortality Prediction in Intensive Care Units
Shatha Al-duhayan, Abdenour Soubih, Firuz Juraev et al. Lecture notes in networks and systems, 2026. Cites: dataset

League of Radiologists—an End-to-End AI Framework for Scalable and Gamified Radiology Education: A Pilot Implementation in Chest Radiography
Hyunji Kim, Young-Tak Kim, Saúl Langarica et al. Journal of Imaging Informatics in Medicine, 2026. Cites: dataset

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

Ontology-Based Concept Distillation for Radiology Report Retrieval and Labeling
Felix Nützel, Mischa Dombrowski, Bernhard Kainz. Lecture notes in computer science, 2026. Cites: dataset

meval: A Statistical Toolbox for Fine-Grained Model Performance Analysis
Dishantkumar Sutariya, Eike Petersen. Lecture notes in computer science, 2025. Cites: dataset

Extracting Information from Unstructured Medical Reports Written in Minority Languages: A Case Study of Finnish
Elisa Myllylä, Pekka Siirtola, Antti Isosalo et al. Data, 2025. Cites: dataset

Hybrid Active Learning with Privacy-Preserving Synthetic Data for Medical Multimodal LLM Enhancement
xiaochen xiao. Research Square, 2025. Cites: dataset

MediSim: Multi-granular simulation for enriching longitudinal, multi-modal electronic health records
Brandon Theodorou, Cao Xiao, Lucas M. Glass et al. Patterns, 2025. Cites: dataset

OmniNet: an expandable causal inference network for multiple modalities
Yinuo Zhou, Georgios Leontidis, Mingjun Zhong. Neural Computing and Applications, 2025. Cites: dataset

Abnormal-region-aware Multi-modal Feature Fusion for medical report generation
Yan Gao, Zhiwei Ni, Wentao Liu et al. Knowledge-Based Systems, 2025. Cites: dataset

Trustworthy and Practical AI for Healthcare: A Guided Deferral System with Large Language Models
Joshua Strong, Qianhui Men, Julia Alison Noble. Proceedings of the AAAI Conference on Artificial Intelligence, 2025. Cites: dataset

Unpaired translation of chest X-ray images for lung opacity diagnosis via adaptive activation masks and cross-domain alignment
Junzhi Ning, Dominic Charles Marshall, Yijian Gao et al. Pattern Recognition Letters, 2025. Cites: dataset

GazeSearch: Radiology Findings Search Benchmark
Trong-Thang Pham, Tien-Phat Nguyen, Yuki Ikebe et al. IEEE Winter Conference on Applications of Computer Vision, 2025. Cites: dataset

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

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: dataset

TextCAVs: Debugging Vision Models Using Text
Angus Nicolson, Yarin Gal, Julia Alison Noble. Lecture notes in computer science, 2025. Cites: dataset

HERGen: Elevating Radiology Report Generation with Longitudinal Data
Fuying Wang, Shenghui Du, Lequan Yu. Lecture notes in computer science, 2024. Cites: dataset

Improving Medical Multi-modal Contrastive Learning with Expert Annotations
Yogesh Kumar, Pekka Marttinen. Lecture notes in computer science, 2024. Cites: dataset

Leveraging a memory-driven transformer for efficient radiology report generation from chest X-rays to establish a quantitative metric
Nathan Hadjiyski, Akhil Kasturi, Ali Vosoughi et al. Emerging Topics in Artificial Intelligence (ETAI), 2024. Cites: dataset

A generalist vision–language foundation model for diverse biomedical tasks
Kai Zhang, Rong Zhou, Eashan Adhikarla et al. Nature Medicine, 2024. Cites: dataset

Towards Case-based Interpretability for Medical Federated Learning
Laura Latorre, Liliana Petrychenko, Regina G. H. Beets‐Tan et al. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2024. Cites: dataset

Análise de Características Textuais na Automatização da Regulação Médica
Kauan Vaz do Nascimento, Raimundo Santos Moura. 2024. Cites: dataset

Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging
Soroosh Tayebi Arasteh, Alexander Ziller, Christiane Katharina Kuhl et al. Communications Medicine, 2024. Cites: dataset

Medical Image Description Based on Multimodal Auxiliary Signals and Transformer
Yun Tan, Chunzhi Li, Jiaohua Qin et al. International Journal of Intelligent Systems, 2024. Cites: dataset

Improving deep neural network generalization and robustness to background bias via layer-wise relevance propagation optimization
Pedro R. A. S. Bassi, Sérgio San Juan Dertkigil, Andrea Cavalli. Nature Communications, 2024. Cites: dataset

A Machine Learning Approach for the Detection of Thoracic Disease using Chest X-ray reports
Lerina Aversano, Martina Iammarino, Antonella Madau et al. Procedia Computer Science, 2024. Cites: dataset

Enhancing Multi-Label Long-Tailed Classification on Chest X-Rays through ML-GCN Augmentation
Hyeryeong Seo, M.H. Lee, W. Cheong et al. IEEE International Conference on Computer Vision Workshops, 2023. Cites: dataset

Confidence-Aware and Self-supervised Image Anomaly Localisation
Johanna P. Müller, Matthew Baugh, Jeremy Tan et al. Lecture notes in computer science, 2023. Cites: dataset

Distilling BlackBox to Interpretable Models for Efficient Transfer Learning
Shantanu Ghosh, Ke Yu, Kayhan N. Batmanghelich. Lecture notes in computer science, 2023. Cites: dataset

Predicting 30-day all-cause hospital readmission using multimodal spatiotemporal graph neural networks
Siyi Tang, Amara Tariq, Jared Dunnmon et al. IEEE Journal of Biomedical and Health Informatics, 2023. Cites: dataset

You’ve Got Two Teachers: Co-evolutionary Image and Report Distillation for Semi-supervised Anatomical Abnormality Detection in Chest X-Ray
Jinghan Sun, Dong Wei, Zhe Xu et al. Lecture notes in computer science, 2023. Cites: dataset

PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records
Tianyi Zhang, Shirui Zhang, Ziwei Chen et al. IEEE International Conference on Big Data (BigData), 2022. Cites: dataset

REFLACX, a dataset of reports and eye-tracking data for localization of abnormalities in chest x-rays
Ricardo Bigolin Lanfredi, Mingyuan Zhang, William F. Auffermann et al. Scientific Data, 2022. Cites: dataset

Accurate auto-labeling of chest X-ray images based on quantitative similarity to an explainable AI model
Doyun Kim, Joo Won Chung, Jongmun Choi et al. Nature Communications, 2022. Cites: dataset

Anatomy-Guided Weakly-Supervised Abnormality Localization in Chest X-rays
Ke Yu, Shantanu Ghosh, Zhexiong Liu et al. Lecture notes in computer science, 2022. Cites: dataset

Joint Learning of Localized Representations from Medical Images and Reports
Philip Müller, Georgios A. Kaissis, Congyu Zou et al. Lecture notes in computer science, 2022. Cites: dataset

Radiological Reports Improve Pre-training for Localized Imaging Tasks on Chest X-Rays
Philip Müller, Georgios A. Kaissis, Congyu Zou et al. Lecture notes in computer science, 2022. Cites: dataset

RadTex: Learning Efficient Radiograph Representations from Text Reports
Keegan Quigley, Miriam Cha, Ruizhi Liao et al. Lecture notes in computer science, 2022. Cites: dataset

Clinically Correct Report Generation from Chest X-Rays Using Templates
Pablo Pino, Denis Parra, Cecilia Besa et al. Lecture notes in computer science, 2021. Cites: dataset

Multimodal Representation Learning via Maximization of Local Mutual Information
Ruizhi Liao, Daniel Moyer, Miriam Cha et al. Lecture notes in computer science, 2021. Cites: dataset

TMRGM: A Template-Based Multi-Attention Model for X-Ray Imaging Report Generation
Xuwen Wang, Yu Zhang, Zhen Hua Guo et al. Journal of Artificial Intelligence for Medical Sciences, 2021. Cites: dataset

Deep_Saliency: A Deep Learning based Saliency Approach to detect Covid-19 through x-ray images
Praveen Verma, Chetan Singh Negi, Maneesh Pant et al. Research Square, 2020. Cites: dataset

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