Publications citing MIMIC-CXR Database v2.1.0

Vision-language models for medical report generation and visual question answering: a review
Iryna Hartsock, Ghulam Rasool. Frontiers in Artificial Intelligence, 2024. Cites: paper

AI Integration in Medical Imaging: Advanced Analysis of Chest X-ray
D. Bandara, Thamo Sutharssan, Mhd Saeed Sharif. International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 2024. Cites: paper

Toward an enhanced automatic medical report generator based on large transformer models
Olanda Prieto-Ordaz, Graciela María de Jesús Ramírez-Alonso, Manuel Montes-y-Gómez et al. Neural Computing and Applications, 2024. Cites: paper

Simple Words over Rich Imaging: Accurate Brain Disease Classification via Language Model Analysis of Radiological Reports
Xin Gao, Meihui Zhang, Longfei Chen et al. medRxiv, 2024. Cites: paper

The Untapped Potential of Zoo and Aquarium Data for the Comparative Biology of Ageing
Morgane Tidière, Johanna Staerk, Michael J. Adkesson et al. Cambridge University Press eBooks, 2024. Cites: paper

Advancing Healthcare in Low-Resource Environments Through an Optimization and Deployment Framework for Medical Multimodal Large Language Models
Aya El Mir, Lukelo Thadei Luoga, Boyuan Chen et al. IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI ...), 2024. Cites: paper

Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification
Ricardo Bigolin Lanfredi, Pritam Mukherjee, Ronald M. Summers. Medical Image Analysis, 2024. Cites: paper

Enhancing Medical Diagnosis with Fine-Tuned Large Language Models: Addressing Cardiogenic Pulmonary Edema (CPE)
Yen‐Jung Chiu, Chao-Chun Chuang, Kuo‐Yuan Hwa. International Conference on Biomedical and Bioinformatics Engineering (ICBBE), 2024. Cites: paper

Multi-Modality Knowledge Transfer for Generalizable Chest Radiograph Interpretation
Xuege Hou, Yali Li, Yuming Mei et al. International Conference on Biomedical and Bioinformatics Engineering (ICBBE), 2024. Cites: paper

Artificial General Intelligence for Medical Imaging Analysis
Xiang Li, Lin Zhao, Lu Zhang et al. IEEE Reviews in Biomedical Engineering, 2024. Cites: paper

Collaboration between clinicians and vision–language models in radiology report generation
Ryutaro Tanno, David G. T. Barrett, Andrew Sellergren et al. Nature Medicine, 2024. Cites: paper

Bias Amplification to Facilitate the Systematic Evaluation of Bias Mitigation Methods
Alexis Burgon, Yuhang Zhang, Nicholas Petrick et al. IEEE Journal of Biomedical and Health Informatics, 2024. Cites: paper

Pseudo-Prompt Generating in Pre-trained Vision-Language Models for Multi-label Medical Image Classification
Yaoqin Ye, Junjie Zhang, Hongwei Shi. Lecture notes in computer science, 2024. Cites: paper

Advancements and Applications of Generative AI in Healthcare
Sandeep Chataut, Sirjana Bhatta, Bishwambhar Dahal et al. European Journal of Theoretical and Applied Sciences, 2024. Cites: paper

Cross-modal similar clinical case retrieval using a modular model based on contrastive learning and k-nearest neighbor search
Shichao Fang, Shenda Hong, Qin Li et al. International Journal of Medical Informatics, 2024. Cites: paper

GenerateCT: Text-Conditional Generation of 3D Chest CT Volumes
İbrahim Ethem Hamamcı, Sezgin Er, Anjany Sekuboyina et al. Lecture notes in computer science, 2024. Cites: paper

MedRAT: Unpaired Medical Report Generation via Auxiliary Tasks
Elad Hirsch, Gefen Dawidowicz, Ayellet Tal. Lecture notes in computer science, 2024. Cites: paper

Multi-granularity Semantic Guided Transformer for Radiology Report Generation
Yu Song, Xiaojin Hua, Kunli Zhang et al. Lecture notes in computer science, 2024. Cites: paper

Unified Medical Image Pre-training in Language-Guided Common Semantic Space
Xiaoxuan He, Yifan Yang, Xinyang Jiang et al. Lecture notes in computer science, 2024. Cites: paper

DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks
Sarah Jabbour, Gregory Kondas, Ella Annabelle Kazerooni et al. Lecture notes in computer science, 2024. Cites: paper

FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
Yu Tian, Congcong Wen, Min Shi et al. Lecture notes in computer science, 2024. Cites: paper

Machine learning approaches toward an understanding of acute kidney injury: current trends and future directions
Inyong Jeong, Namjun Cho, Se-Jin Ahn et al. The Korean Journal of Internal Medicine, 2024. Cites: paper

TRINet: Team Role Interaction Network for automatic radiology report generation
Zhiqiang Zheng, Yujie Zhang, Enhe Liang et al. Computers in Biology and Medicine, 2024. Cites: paper

Part-Prototype Models in Medical Imaging: Applications and Current Challenges
Lisa Anita De Santi, Franco Italo Piparo, Filippo Bargagna et al. BioMedInformatics, 2024. Cites: paper

Self-supervised learning framework application for medical image analysis: a review and summary
Xiangrui Zeng, Nibras Abdullah, Putra Sumari. BioMedical Engineering OnLine, 2024. Cites: paper

Diffusion Networks with Task-Specific Noise Control for Radiology Report Generation
Yuanhe Tian, Fei Xia, Yan Song. ACM International Conference on Multimedia (ACM MM), 2024. Cites: paper

Towards Medical Vision-Language Contrastive Pre-training via Study-Oriented Semantic Exploration
Bo Liu, Zexin Lu, Yan Wang. ACM International Conference on Multimedia (ACM MM), 2024. Cites: paper

ChEX: Interactive Localization and Region Description in Chest X-Rays
Philip Müller, Georgios A. Kaissis, Daniel Rueckert. Lecture notes in computer science, 2024. Cites: dataset, paper

Is User Feedback Always Informative? Retrieval Latent Defending for Semi-supervised Domain Adaptation Without Source Data
Junha Song, Tae Soo Kim, Junha Kim et al. Lecture notes in computer science, 2024. Cites: paper

Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays
Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan et al. Scientific Reports, 2024. Cites: paper

DACG: Dual Attention and Context Guidance model for radiology report generation
Wangyu Lang, Zhi Liu, Yijia Zhang. Medical Image Analysis, 2024. Cites: paper

TECRR: a benchmark dataset of radiological reports for BI-RADS classification with machine learning, deep learning, and large language model baselines
Sadam Hussain, Usman Naseem, Mansoor Ali et al. BMC Medical Informatics and Decision Making, 2024. Cites: paper

Disease-Informed Adaptation of Vision-Language Models
Jiajin Zhang, Ge Wang, Mannudeep K. Kalra et al. IEEE Transactions on Medical Imaging, 2024. Cites: paper

A systematic review of generalization research in medical image classification
Sarah Christina Matta, Mathieu Lamard, Philippe Zhang et al. Computers in Biology and Medicine, 2024. Cites: paper

Towards good practice for convolution and attention with PANs in federated medical image classification
Nursultan Makhanov, Huynh Thien Nhan, Kok‐Seng Wong et al. The Journal of Supercomputing, 2024. Cites: paper

Addressing fairness issues in deep learning-based medical image analysis: a systematic review
Zikang Xu, Jun Li, Qingsong Yao et al. npj Digital Medicine, 2024. Cites: paper

Automatic Medical Report Generation: Methods and Applications
Guo Li, Anas M. Tahir, Dong Zhang et al. APSIPA Transactions on Signal and Information Processing, 2024. Cites: paper

Core-Periphery Multi-Modality Feature Alignment for Zero-Shot Medical Image Analysis
Xiaowei Yu, Lu Zhang, Zihao Wu et al. IEEE Transactions on Medical Imaging, 2024. Cites: paper

Radiomics-Based Prediction of Patient Demographic Characteristics on Chest Radiographs: Looking Beyond Deep Learning for Risk of Bias
Hadiseh Kavandi, Pranav Kulkarni, Sean P. Garin et al. American Journal of Roentgenology, 2024. Cites: paper

Justiça em Modelos de Apoio a Processos de Tomada de Decisão com Uso de Aprendizado Federado
Êrica Peters do Carmo, Agma J. M. Traina, Caetano Traina. Simpósio Brasileiro de Bancos de Dados (SBBD), 2024. Cites: paper

Recommendations for the creation of benchmark datasets for reproducible artificial intelligence in radiology
Nikos Sourlos, Rozemarijn Vliegenthart, João Santinha et al. Insights into Imaging, 2024. Cites: paper

AI Fairness in Medical Imaging: Controlling for Disease Severity
Pritam Mukherjee, Ronald M. Summers. Lecture notes in computer science, 2024. Cites: paper

Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images
Lakshika Rathi, Giacomo Nebbia, Ken Chang et al. Lecture notes in computer science, 2024. Cites: paper

Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data
Dilermando Queiroz, André Anjos, Lilian Berton. Lecture notes in computer science, 2024. Cites: paper

Automatic structuring of radiology reports with on-premise open-source large language models
Piotr Woźnicki, Caroline Laqua, Ina Fiku et al. European Radiology, 2024. Cites: paper

Enhancing fairness in AI-enabled medical systems with the attribute neutral framework
Lianting Hu, Dantong Li, Huazhang Liu et al. Nature Communications, 2024. Cites: paper

A landmark federal interagency collaboration to promote data science in health care: Million Veteran Program-Computational Health Analytics for Medical Precision to Improve Outcomes Now
Amy C. Justice, Benjamin H. McMahon, Ravi Madduri et al. JAMIA Open, 2024. Cites: paper

TiBiX: Leveraging Temporal Information for Bidirectional X-Ray and Report Generation
Santosh Sanjeev, Fadillah Adamsyah Maani, Arsen Abzhanov et al. Lecture notes in computer science, 2024. Cites: paper

Anatomy-Aware Enhancement and Cross-Modal Disease Representation Fusion for Medical Report Generation
Jianbin Chen, Kai Huai Yang, Runfeng Lin et al. Conference proceedings/Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics, 2024. Cites: paper

Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders
Jongseong Jang, Daeun Kyung, Seung Hwan Kim et al. Scientific Reports, 2024. Cites: paper

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