Publications citing MIMIC-CXR Database v2.1.0

Token-Mixer: Bind Image and Text in One Embedding Space for Medical Image Reporting
Yan Qin Yang, Jun Yu, Zhenqi Fu et al. IEEE Transactions on Medical Imaging, 2024. Cites: paper

Advanced Multi-Label Image Classification Techniques Using Ensemble Methods
Tamás Katona, Gábor Tóth, Mátyás Petró et al. Machine Learning and Knowledge Extraction, 2024. Cites: paper

Pre-trained language models in medicine: A survey
Xudong Luo, Zhiqi Deng, Binxia Yang et al. Artificial Intelligence in Medicine, 2024. Cites: paper

Transformers and large language models in healthcare: A review
Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang et al. Artificial Intelligence in Medicine, 2024. Cites: dataset, paper

Automated Radiology Report Generation: A Review of Recent Advances
Phillip Sloan, Philip L. Clatworthy, Edwin Simpson et al. IEEE Reviews in Biomedical Engineering, 2024. Cites: paper

Generative AI Techniques in Medical Imaging Analysis
Ruchi Kshatri Patel, Ashok Kumar Verma, Neelesh Kumar Sahu et al. Advances in computational intelligence and robotics book series, 2024. Cites: paper

Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
Gregory Holste, Yiliang Zhou, Song Wang et al. Medical Image Analysis, 2024. Cites: paper

Synthetically enhanced: unveiling synthetic data's potential in medical imaging research
Bardia Khosravi, Frank Li, Theo Dapamede et al. EBioMedicine, 2024. Cites: paper

Advancing differential diagnosis: a comprehensive review of deep learning approaches for differentiating tuberculosis, pneumonia, and COVID-19
Kajal Kansal, Tej Bahadur Chandra, Akansha Singh. Multimedia Tools and Applications, 2024. Cites: paper

Envisioning Medclip: A Deep Dive into Explainability for Medical Vision-Language Models
Anees Ur Rehman Hashmi, Dwarikanath Mahapatra, Mohammad K. Yaqub. IEEE International Symposium on Biomedical Imaging (ISBI), 2024. Cites: paper

Localisation of Racial Information in Chest X-Ray for Deep Learning Diagnosis
Olivier Salvado, Salamata Konate, Rodrigo Santa Cruz et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2024. Cites: paper

Long-Tailed Multi-Label Classification with Noisy Label of Thoracic Diseases from Chest X-Ray
Haoran Lai, Qingsong Yao, Zhiyang He et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2024. Cites: paper

Mitigating Racial Bias in Chest X-Ray Disease Diagnosis Via Disentanglement Learning
Xinwei Lai, Ying Wang, Jie Li et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2024. Cites: paper

Multimodal Self-Supervised Learning for Lesion Localization
Hao Yang, Hong-Yu Zhou, Cheng Li et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2024. Cites: paper

Automated thorax disease diagnosis using multi-branch residual attention network
Dongfang Li, Hua Huo, Shupei Jiao et al. Scientific Reports, 2024. Cites: paper

Me-LLaMA: Foundation Large Language Models for Medical Applications
Qianqian Xie, Qingyu Chen, Aokun Chen et al. Research Square, 2024. Cites: paper

CheXmask: a large-scale dataset of anatomical segmentation masks for multi-center chest x-ray images
Nicolás Gaggion, Candelaria Mosquera, Lucas Mansilla et al. Scientific Data, 2024. Cites: paper

Clinical Text Datasets for Medical Artificial Intelligence and Large Language Models — A Systematic Review
Jiageng Wu, Xiaocong Liu, Minghui Li et al. NEJM AI, 2024. Cites: paper

Large language models illuminate a progressive pathway to artificial intelligent healthcare assistant
Mingze Yuan, Peng Bao, Jiajia Yuan et al. Medicine Plus, 2024. Cites: paper

Multi-scale Lesion Feature Fusion and Location-Aware for Chest Multi-disease Detection
Yuyang Yuan, Lijun Liu, Xiaobing Yang et al. Journal of Imaging Informatics in Medicine, 2024. Cites: paper

Automated Brain Abnormality Detection using a Self-Supervised Text-Vision Framework
David A. Wood, Emily Guilhem, Sina Kafiabadi et al. 2024. Cites: paper

Prompt-Eng: Healthcare Prompt Engineering: Revolutionizing Healthcare Applications with Precision Prompts
Awais Ahmed, Mengshu Hou, Rui Xi et al. International World Wide Web Conference (WWW), 2024. Cites: paper

EyeXNet: Enhancing Abnormality Detection and Diagnosis via Eye-Tracking and X-ray Fusion
Chihcheng Hsieh, André Luís, José Neves et al. Machine Learning and Knowledge Extraction, 2024. Cites: paper

ChatCAD+: Toward a Universal and Reliable Interactive CAD Using LLMs
Zihao Zhao, Sheng Wang, Jinchen Gu et al. IEEE Transactions on Medical Imaging, 2024. Cites: paper

A systematic review of deep learning data augmentation in medical imaging: Recent advances and future research directions
Tauhidul Islam, Md Sadman Hafiz, Jamin Rahman Jim et al. Healthcare Analytics, 2024. Cites: paper

Advancing Accuracy in Multimodal Medical Tasks Through Bootstrapped Language-Image Pretraining (BioMedBLIP): Performance Evaluation Study
Usman Naseem, Surendrabikram Thapa, Anum Masood. JMIR Medical Informatics, 2024. Cites: paper

Artificial intelligence for computer aided detection of pneumoconiosis: A succinct review since 1974
Faisel Mushtaq, Saunak Bhattacharjee, Sandeep Mandia et al. Engineering Applications of Artificial Intelligence, 2024. Cites: paper

Comparative Advantage of Humans versus AI in the Long Tail
Nikhil Agarwal, Ray Huang, Alex Vernon Moehring et al. AEA Papers and Proceedings, 2024. Cites: paper

A survey of recent methods for addressing AI fairness and bias in biomedicine
Yifan Yang, Mingquan Lin, Han Zhao et al. Journal of Biomedical Informatics, 2024. Cites: paper

Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark
Fenglin Liu, Zheng Li, Hongjian Zhou et al. medRxiv, 2024. Cites: paper

Memory-Based Cross-Modal Semantic Alignment Network for Radiology Report Generation
Yitian Tao, Liyan Ma, Jing Yu et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

DF-DM: A foundational process model for multimodal data fusion in the artificial intelligence era
David S. Restrepo, Chenwei Wu, Constanza Vásquez-Venegas et al. Research Square, 2024. Cites: paper

Domain-specific image captioning: a comprehensive review
Himanshu Sharma, Devanand Padha. International Journal of Multimedia Information Retrieval, 2024. Cites: paper

Recent Advances in Large Language Models for Healthcare
Khalid Nassiri, Moulay A. Akhloufi. BioMedInformatics, 2024. Cites: paper

DREAM: A framework for discovering mechanisms underlying AI prediction of protected attributes
Soham U. Gadgil, Alex J. DeGrave, Joseph D. Janizek et al. medRxiv, 2024. Cites: paper

Backdoor Attack on Unpaired Medical Image-Text Foundation Models: A Pilot Study on MedCLIP
Ruinan Jin, Chun-Yin Huang, Chenyu You et al. IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2024. Cites: paper

Semantically redundant training data removal and deep model classification performance: A study with chest X-rays
Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang et al. Computerized Medical Imaging and Graphics, 2024. Cites: paper

Thorax computed tomography (CTX) guided ground truth annotation of CHEST radiographs (CXR) for improved classification and detection of COVID‐19
Şükrü Mehmet Ertürk, Tuğçe Toprak, Rana Günöz Cömert et al. International Journal for Numerical Methods in Biomedical Engineering, 2024. Cites: paper

A Systematic Review: Classification of Lung Diseases from Chest X-Ray Images Using Deep Learning Algorithms
Aya Hage Chehade, Nassib Abdallah, Jean-Marie Marion et al. SN Computer Science, 2024. Cites: paper

A survey of the impact of self-supervised pretraining for diagnostic tasks in medical X-ray, CT, MRI, and ultrasound
Blake VanBerlo, Jesse Hoey, Alexander M. Wong. BMC Medical Imaging, 2024. Cites: paper

Evaluation of large language models performance against humans for summarizing MRI knee radiology reports: A feasibility study
Pilar López Úbeda, Teodoro Martín‐Noguerol, Carolina Díaz-Angulo et al. International Journal of Medical Informatics, 2024. Cites: paper

Improving Radiology Report Generation Quality and Diversity through Reinforcement Learning and Text Augmentation
Daniel Parres, Alberto Albiol, Roberto Paredes. Bioengineering, 2024. Cites: paper

MEDITRON: Open Medical Foundation Models Adapted for Clinical Practice
Zeming Chen, Angelika Romanou, Antoine Bonnet et al. Research Square, 2024. Cites: paper

FRAMU: Attention-Based Machine Unlearning Using Federated Reinforcement Learning
Thanveer Shaik, Xiaohui Tao, Lin Li et al. IEEE Transactions on Knowledge and Data Engineering, 2024. Cites: paper

Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge
Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt et al. IEEE Transactions on Medical Imaging, 2024. Cites: paper

A review of self‐supervised, generative, and few‐shot deep learning methods for data‐limited magnetic resonance imaging segmentation
Zelong Liu, Komal Kainth, Alexander Zhou et al. NMR in Biomedicine, 2024. Cites: paper

CariesXrays: Enhancing Caries Detection in Hospital-Scale Panoramic Dental X-rays via Feature Pyramid Contrastive Learning
Bingzhi Chen, Si-si FU, Yishu Liu et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency
Wenfang Yao, Kejing Yin, William K. Cheung et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

Novel Class Discovery in Chest X-rays via Paired Images and Text
Jiaying Zhou, Yang Liu, Qingchao Chen. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

Trade-Offs in Fine-Tuned Diffusion Models between Accuracy and Interpretability
Mischa Dombrowski, Hadrien Reynaud, Johanna P. Müller et al. Proceedings of the AAAI Conference on Artificial Intelligence, 2024. Cites: paper

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