Publications citing MIMIC-CXR Database v2.1.0

Hierarchical medical image report adversarial generation with hybrid discriminator
Junsan Zhang, Ming Cheng, Qiaoqiao Cheng et al. Artificial Intelligence in Medicine, 2024. Cites: paper

Freeze the Backbones: a Parameter-Efficient Contrastive Approach to Robust Medical Vision-Language Pre-Training
Jiuming Qin, Che Liu, Sibo Lucas Cheng et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2024. Cites: dataset

Improving Radiology Report Generation with D2-Net: When Diffusion Meets Discriminator
Yuda Jin, Weidong Chen, Yuanhe Tian et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2024. Cites: paper

An Open Access Chest Datasets for Computer– Aided Screening of Chest Diseases
Akanksha Soni, Avinash Rai. International Conference on Recent Innovation in Smart and Sustainable Technology (ICRISST), 2024. Cites: paper

ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax
Zachary Huemann, Xin Tie, Junjie Hu et al. Journal of Imaging Informatics in Medicine, 2024. Cites: paper

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: paper

Capability of GPT-4V(ision) in the Japanese National Medical Licensing Examination: Evaluation Study
Takahiro Nakao, Soichiro Miki, Yuta Nakamura et al. JMIR Medical Education, 2024. Cites: paper

XRaySwinGen: Automatic medical reporting for X-ray exams with multimodal model
Gilvan Veras Magalhães, Roney Lira de Sales Santos, Luis H. S. Vogado et al. Heliyon, 2024. Cites: paper

Drop the shortcuts: image augmentation improves fairness and decreases AI detection of race and other demographics from medical images
Ryan Wang, Po‐Chih Kuo, Li-Ching Chen et al. EBioMedicine, 2024. Cites: paper

Developing New Fully Connected Layers for Convolutional Neural Networks with Hyperparameter Optimization for Improved Multi-Label Image Classification
Tamás Katona, Gábor Tóth, Mátyás Petró et al. Mathematics, 2024. Cites: paper

Development and Validation of Multimodal Models to Predict the 30-Day Mortality of ICU Patients Based on Clinical Parameters and Chest X-Rays
Jiaxi Lin, Jin Yang, Minyue Yin et al. Journal of Imaging Informatics in Medicine, 2024. Cites: paper

Learning to Generalize Towards Unseen Domains via a Content-Aware Style Invariant Model for Disease Detection From Chest X-Rays
Mohammad Zunaed, Md. Aynal Haque, Taufiq Hasan. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

TDASD: Generating medically significant fine-grained lung adenocarcinoma nodule CT images based on stable diffusion models with limited sample size
Yidan Xu, Jiaqing Liang, Yaoyao Zhuo et al. Computer Methods and Programs in Biomedicine, 2024. Cites: paper

Heterogeneity and predictors of the effects of AI assistance on radiologists
Feiyang Yu, Alex Vernon Moehring, Oishi Banerjee et al. Nature Medicine, 2024. Cites: paper

Empirical data drift detection experiments on real-world medical imaging data
Ali Kore, Elyar Abbasi Bavil, Vallijah Subasri et al. Nature Communications, 2024. Cites: paper

Memory Guided Transformer With Spatio-Semantic Visual Extractor for Medical Report Generation
Peketi Divya, Sravani Yenduri, Chalavadi Vishnu et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

Multimodal risk prediction with physiological signals, medical images and clinical notes
Yuanlong Wang, Changchang Yin, Ping Zhang. Heliyon, 2024. Cites: paper

Adapted large language models can outperform medical experts in clinical text summarization
Dave Van Veen, Cara Van Uden, Louis Blankemeier et al. Nature Medicine, 2024. Cites: paper

[Research on automatic generation of multimodal medical image reports based on memory driven].
Suxia Xing, Junze Fang, Zihan Ju et al. PubMed, 2024. Cites: paper

Artificial Intelligence in Radiology: Opportunities and Challenges
Marta Flory, Sandy A. Napel, Emily B. Tsai. Seminars in Ultrasound CT and MRI, 2024. Cites: paper

A label information fused medical image report generation framework
Shuifa Sun, Zhoujunsen Mei, Xiaolong Li et al. Artificial Intelligence in Medicine, 2024. Cites: paper

Automatic generation of conclusions from neuroradiology MRI reports through natural language processing
Pilar López Úbeda, Teodoro Martín‐Noguerol, Jorge Escartín et al. Neuroradiology, 2024. Cites: paper

Decentralised, collaborative, and privacy-preserving machine learning for multi-hospital data
Congyu Fang, Adam Dziedzic, Lin Zhang et al. EBioMedicine, 2024. Cites: paper

A causal perspective on dataset bias in machine learning for medical imaging
Charles Jones, Daniel C. Castro, Fabio De Sousa Ribeiro et al. Nature Machine Intelligence, 2024. Cites: paper

A deep-learning-based framework for identifying and localizing multiple abnormalities and assessing cardiomegaly in chest X-ray
Weijie Fan, Yi Yang, Jing Qi et al. Nature Communications, 2024. Cites: paper

Automated image label extraction from radiology reports — A review
Sofia Cardoso Pereira, Ana Maria Mendonça, Aurélio Campilho et al. Artificial Intelligence in Medicine, 2024. Cites: paper

An Iterative Optimizing Framework for Radiology Report Summarization With ChatGPT
Chong Ma, Zihao Wu, Jiaqi Wang et al. IEEE Transactions on Artificial Intelligence, 2024. Cites: paper

Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images
Soroosh Tayebi Arasteh, Leo Misera, Jakob Nikolas Kather et al. European Radiology Experimental, 2024. Cites: paper

Personalized Impression Generation for PET Reports Using Large Language Models
Xin Tie, Muheon Shin, Ali Pirasteh et al. Journal of Imaging Informatics in Medicine, 2024. Cites: paper

Semantic and Structural Analysis of MIMIC-CXR radiography reports with NLP Methods
Ege Erberk Uslu, Emine Sezer, Zekeriya Anıl Güven. Journal of Polytechnic, 2024. Cites: paper

Validating the accuracy of deep learning for the diagnosis of pneumonia on chest x-ray against a robust multimodal reference diagnosis: a post hoc analysis of two prospective studies
Jérémy Hofmeister, Nicolás Garin, Xavier Montet et al. European Radiology Experimental, 2024. Cites: paper

A methodical exploration of imaging modalities from dataset to detection through machine learning paradigms in prominent lung disease diagnosis: a review
Sunil Kumar, Harish Kumar, Gyanendra Kumar et al. BMC Medical Imaging, 2024. Cites: paper

German CheXpert Chest X-ray Radiology Report Labeler
Alessandro Wollek, Sardi Hyska, Thomas Sedlmeyr et al. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, 2024. Cites: paper

Sequential Brain CT Image Captioning Based on the Pre-Trained Classifiers and a Language Model
Jin-Woo Kong, Byoung-Doo Oh, Chulho Kim et al. Applied Sciences, 2024. Cites: paper

Leveraging Multi-Annotator Label Uncertainties as Privileged Information for Acute Respiratory Distress Syndrome Detection in Chest X-ray Images
Zijun Gao, Emily M. Wittrup, Kayvan Najarian. Bioengineering, 2024. Cites: paper

Self-supervised learning for medical image analysis: Discriminative, restorative, or adversarial?
Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway et al. Medical Image Analysis, 2024. Cites: paper

ChatGPT in healthcare: A taxonomy and systematic review
Jianning Li, Amin Dada, Behrus Puladi et al. Computer Methods and Programs in Biomedicine, 2024. Cites: paper

Machine Learning for Prediction of Cardiovascular Disease and Respiratory Disease: A Review
Gaurav Parashar, Alka Chaudhary, Dilkeshwar Pandey. SN Computer Science, 2024. Cites: paper

Text Report Analysis to Identify Opportunities for Optimizing Target Selection for Chest Radiograph Artificial Intelligence Models
Carl F. Sabottke, Jason Lee, Alan Chiang et al. Journal of Imaging Informatics in Medicine, 2024. Cites: paper

Exploring low-resource medical image classification with weakly supervised prompt learning
Fudan Zheng, Jindong Cao, Weijiang Yu et al. Pattern Recognition, 2024. Cites: paper

Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling
Constantin Seibold, Alexander Jaus, Matthias Alexander Fink et al. Research Square, 2024. Cites: paper

TSGET: Two-Stage Global Enhanced Transformer for Automatic Radiology Report Generation
Xiulong Yi, You Fu, Ruiqing Liu et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

Complex Organ Mask Guided Radiology Report Generation
Tiancheng Gu, Dongnan Liu, Zhiyuan Li et al. IEEE Winter Conference on Applications of Computer Vision, 2024. Cites: paper

Controllable Text-to-Image Synthesis for Multi-Modality MR Images
Kyuri Kim, Yoonho Na, Sung‐Joon Ye et al. IEEE Winter Conference on Applications of Computer Vision, 2024. Cites: paper

CXR-IRGen: An Integrated Vision and Language Model for the Generation of Clinically Accurate Chest X-Ray Image-Report Pairs
Junjie Shentu, Noura Al Moubayed. IEEE Winter Conference on Applications of Computer Vision, 2024. Cites: paper

GazeGNN: A Gaze-Guided Graph Neural Network for Chest X-ray Classification
Bin Wang, Hongyi Pan, Armstrong Aboah et al. IEEE Winter Conference on Applications of Computer Vision, 2024. Cites: paper

I-AI: A Controllable & Interpretable AI System for Decoding Radiologists’ Intense Focus for Accurate CXR Diagnoses
Trong-Thang Pham, Jacob Brecheisen, Anh Nguyen et al. IEEE Winter Conference on Applications of Computer Vision, 2024. Cites: paper

Learning Quality Labels for Robust Image Classification
Xiaosong Wang, Ziyue Xu, Dong Yang et al. IEEE Winter Conference on Applications of Computer Vision, 2024. Cites: paper

2023 Beijing Health Data Science Summit
Luming Chen, Yifan Qi, Tao Yang et al. Health Data Science, 2024. Cites: paper

A comprehensive review of the data and knowledge graphs approaches in bioinformatics
Ylenia Galluzzo. Computer Science and Information Systems, 2024. Cites: paper

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