Publications citing MIMIC-CXR Database v2.1.0

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

Comparing Deep Learning Approaches for Predicting Clinical Deterioration Using Chest Radiographs (Preprint)
Md Mahmudur Rahman, Jifan Gao, Kyle A. Carey et al. 2024. Cites: paper

HF-CMN: a medical report generation model for heart failure
Liangquan Yan, Jumin Zhao, Danyang Shi et al. Medical & Biological Engineering & Computing, 2024. Cites: paper

CROCODILE: Causality Aids RObustness via COntrastive DIsentangled LEarning
Gianluca Carloni, Sotirios A. Tsaftaris, Sara Colantonio. Lecture notes in computer science, 2024. Cites: paper

Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report Generation
Sixing Yan, Haiyan Yin, Ivor Wai-Hung Tsang et al. Lecture notes in computer science, 2024. Cites: paper

Modeling disagreement in automatic data labeling for semi-supervised learning in Clinical Natural Language Processing
Liu Hongshu, Nabeel Seedat, Julia Ive. Frontiers in Artificial Intelligence, 2024. Cites: paper

Quality Control for Radiology Report Generation Models via Auxiliary Auditing Components
Hermione Warr, Yasin Ibrahim, Daniel R. McGowan et al. Lecture notes in computer science, 2024. Cites: paper

A Foundation Language-Image Model of the Retina (FLAIR): encoding expert knowledge in text supervision
Julio Silva-Rodríguez, Hadi Chakor, Riadh Kobbi et al. Medical Image Analysis, 2024. Cites: paper

Comparing Commercial and Open-Source Large Language Models for Labeling Chest Radiograph Reports
Felix J. Dorfner, Liv Jürgensen, Leonhard Donle et al. Radiology, 2024. Cites: paper

Evaluating the Performance and Bias of Natural Language Processing Tools in Labeling Chest Radiograph Reports
Samantha M. Santomartino, John R. Zech, Kent Hall et al. Radiology, 2024. Cites: paper

Uncovering Demographic Bias in Natural Language Processing Tools for Radiology
Wenli Cai. Radiology, 2024. Cites: paper

Counterfactual Explanations for Medical Image Classification and Regression using Diffusion Autoencoder
Matan Atad, David Schinz, Hendrik Möller et al. The Journal of Machine Learning for Biomedical Imaging, 2024. Cites: paper

Fair Machine Learning in Healthcare: A Survey
Qizhang Feng, Mengnan Du, Na Zou et al. IEEE Transactions on Artificial Intelligence, 2024. Cites: paper

Contrastive Learning with Counterfactual Explanations for Radiology Report Generation
Mingjie Li, Haokun Lin, Liang Qiu et al. Lecture notes in computer science, 2024. Cites: paper

DiffuX2CT: Diffusion Learning to Reconstruct CT Images from Biplanar X-Rays
Xuhui Liu, Zhi Qiao, Runkun Liu et al. Lecture notes in computer science, 2024. Cites: paper

Multimodal masked siamese network improves chest X-ray representation learning
Saeed Shurrab, Alejandro Guerra-Manzanares, Farah E. Shamout. Scientific Reports, 2024. Cites: paper

TB-SMGAN: A GAN Based Hybrid Data Augmentation Framework on Chest X-ray Images and Reports
Hasan Berat Özfidan, Mehmet Ulvi Şimşek. Gazi University Journal of Science Part A Engineering and Innovation, 2024. Cites: paper

UniCrossAdapter: Multimodal Adaptation of CLIP for Radiology Report Generation
Yaxiong Chen, Chuang Du, Chunlei Li et al. Lecture notes in computer science, 2024. Cites: paper

Continual learning in medical image analysis: A survey
Xinyao Wu, Zhe Xu, Raymond Kai‐Yu Tong. Computers in Biology and Medicine, 2024. Cites: paper

Algorithm-agnostic significance testing in supervised learning with multimodal data
Lucas Kook, Anton Rask Lundborg. Briefings in Bioinformatics, 2024. Cites: paper

A Novel CAD Framework with Visual and Textual Interpretability: Multimodal Insights for Predicting Respiratory Diseases
Mukhlis Raza, Saied Salem, Hyunwook Kwon et al. International Artificial Intelligence and Data Processing Symposium (IDAP), 2024. Cites: paper

Large language models in medical and healthcare fields: applications, advances, and challenges
Dandan Wang, Shiqing Zhang. Artificial Intelligence Review, 2024. Cites: paper

Data-driven classification and explainable-AI in the field of lung imaging
Syed Taimoor Hussain Shah, Syed Adil Hussain Shah, Iqra Iqbal Khan et al. Frontiers in Big Data, 2024. Cites: paper

Interactive computer-aided diagnosis on medical image using large language models
Sheng Wang, Zihao Zhao, Xi Ouyang et al. Communications Engineering, 2024. Cites: paper

Review of multimodal machine learning approaches in healthcare
Felix Krones, Umar Marikkar, Guy Parsons et al. Information Fusion, 2024. Cites: dataset

A systematic review of multilabel chest X-ray classification using deep learning
Uswatun Hasanah, Jenq‐Shiou Leu, Cries Avian et al. Multimedia Tools and Applications, 2024. Cites: paper

Knowledge graph based reasoning in medical image analysis: A scoping review
Qinghua Huang, Guanghui Li. Computers in Biology and Medicine, 2024. Cites: paper

End-to-End Clustering Enhanced Contrastive Learning for Radiology Reports Generation
Xinyao Liu, Junchang Xin, Qi Shen et al. IEEE Transactions on Emerging Topics in Computational Intelligence, 2024. Cites: paper

Enhancing representation in radiography-reports foundation model: a granular alignment algorithm using masked contrastive learning
Weijian Huang, Cheng Li, Hong-Yu Zhou et al. Nature Communications, 2024. Cites: paper

Assessing severity of pediatric pneumonia using multimodal transformers with multi-task learning
Jing Li, Zi-ang Nan, Guoqiang Qi et al. Digital Health, 2024. Cites: paper

Improving Fairness of Automated Chest Radiograph Diagnosis by Contrastive Learning
Mingquan Lin, Tianhao Li, Zhaoyi Sun et al. Radiology Artificial Intelligence, 2024. Cites: paper

Reconstruction of patient-specific confounders in AI-based radiologic image interpretation using generative pretraining
Tianyu Han, Laura Žigutytė, Luisa Charlotte Huck et al. Cell Reports Medicine, 2024. Cites: paper

GLAN : Global Local Attention Network for Thoracic Disease Classification to Enhance Heart Failure Diagnosis
Dengao Li, Yujia Mu, Jumin Zhao et al. International Journal of Imaging Systems and Technology, 2024. Cites: paper

Acquisition parameters influence AI recognition of race in chest x-rays and mitigating these factors reduces underdiagnosis bias
William E. Lotter. Nature Communications, 2024. Cites: paper

An open chest X-ray dataset with benchmarks for automatic radiology report generation in French
Hichem Metmer, Xiaoshan Yang. Neurocomputing, 2024. Cites: paper

Interactive dual-stream contrastive learning for radiology report generation
Ziqi Zhang, Ailian Jiang. Journal of Biomedical Informatics, 2024. Cites: paper

A vision–language foundation model for the generation of realistic chest X-ray images
Christian Blüthgen, Pierre Chambon, Jean-Benoit Delbrouck et al. Nature Biomedical Engineering, 2024. Cites: paper

IMITATE: Clinical Prior Guided Hierarchical Vision-Language Pre-Training
Che Liu, Sibo Lucas Cheng, Miaojing Shi et al. IEEE Transactions on Medical Imaging, 2024. Cites: paper

A scoping review of large language model based approaches for information extraction from radiology reports
Daniel Reichenpfader, Henning Müller, Kerstin Denecke. npj Digital Medicine, 2024. Cites: paper

MeFD-Net: multi-expert fusion diagnostic network for generating radiology image reports
Ruisheng Ran, Renjie Pan, Wen Yang et al. Applied Intelligence, 2024. Cites: paper

DKA-RG: Disease-Knowledge-Enhanced Fine-Grained Image–Text Alignment for Automatic Radiology Report Generation
Heng Yin, Wei Wu, Yongtao Hao. Electronics, 2024. Cites: paper

Rethinking masked image modelling for medical image representation
Yutong Xie, Lin Gu, Tatsuya Harada et al. Medical Image Analysis, 2024. Cites: paper

Automatic Medical Report Generation Based on Detector Attention Module and GPT-Based Word LSTM
Yunchao Gu, Junfeng Sun, Xinliang Wang et al. International Conference on Data-driven Optimization of Complex Systems (DOCS), 2024. Cites: paper

Practical Evaluation of ChatGPT Performance for Radiology Report Generation
Mohsen Soleimani, Navisa Seyyedi, Seyed Mohammad Ayyoubzadeh et al. Academic Radiology, 2024. Cites: dataset, paper

Multi-modal and multi-criteria conflict analysis model based on deep learning and dominance-based rough sets: Application to clinical non-parallel decision problems
Xiaoli Chu, Bingzhen Sun, Xiaodong Chu et al. Information Fusion, 2024. Cites: paper

Graph and text multi-modal representation learning with momentum distillation on Electronic Health Records
Yu Cao, Xu Wang, Qian Wang et al. Knowledge-Based Systems, 2024. Cites: paper

A New Benchmark: Clinical Uncertainty and Severity Aware Labeled Chest X-Ray Images With Multi-Relationship Graph Learning
Mengliang Zhang, Xinyue Hu, Lin Gu et al. IEEE Transactions on Medical Imaging, 2024. Cites: paper

ASIMSA: Advanced Semantic Information Guided Multi-Scale Alignment Framework for Medical Vision-Language Pretraining
Shuai Xiao, Yangyang Zhang, Liming Jiang et al. IEEE International Conference on Computational Intelligence and Applications (ICCIA), 2024. Cites: paper

MedMM: A Multimodal Fusion Framework for 3D Medical Image Classification with Multigranular Text Guidance
Su Zhao, Meihui Zhang, Xiaoqin Zhu et al. International Conference on Big Data Computing and Communications (BigCom), 2024. Cites: paper

Self-supervised visual–textual prompt learning for few-shot grading of gastric intestinal metaplasia
Xuanchi Chen, Xiangwei Zheng, Zhen Li et al. Knowledge-Based Systems, 2024. Cites: paper

Cited by