Publications citing MIMIC-CXR Database v2.1.0

Applications and Future Prospects of Medical LLMs: A Survey Based on the M-KAT Conceptual Framework
Ying Chang, Jianming Yin, Jianmin Li et al. Journal of Medical Systems, 2024. Cites: paper

Knowledge-Guided Cross-Modal Alignment and Progressive Fusion for Chest X-Ray Report Generation
Lili Huang, Yiming Cao, Pengcheng Jia et al. IEEE Transactions on Multimedia, 2024. Cites: paper

A comprehensive survey of large language models and multimodal large language models in medicine
Hanguang Xiao, Feizhong Zhou, Xingyue Liu et al. Information Fusion, 2024. Cites: paper

ARTIFICIAL INTELLIGENCE IN DIAGNOSING COVID-19 PNEUMONIA AND PULMONARY TUBERCULOSIS IN THE KYRGYZ REPUBLIC
Berik Emilov, Aleksandr Anatol'evich Sorokin, Murzabek Abdivalievich Zhakypov et al. Ulyanovsk Medico-biological Journal, 2024. Cites: paper

DAug: Diffusion-based Channel Augmentation for Radiology Image Retrieval and Classification
Ying Jin, Zhuoran Zhou, Haoquan Fang et al. Qeios, 2024. Cites: paper

Enhancing radiology report generation through pre-trained language models
Giorgio Leonardi, Luigi Portinale, Andrea Santomauro. Progress in Artificial Intelligence, 2024. Cites: paper

Fair Diagnosis: Leveraging Causal Modeling to Mitigate Medical Bias
Bowei Tian, Yexiao He, Meng Liu et al. Qeios, 2024. Cites: paper

Robust multi-modal fusion architecture for medical data with knowledge distillation
Muyu Wang, Shiyu Fan, Yichen Li et al. Computer Methods and Programs in Biomedicine, 2024. Cites: paper

Towards Holistic Disease Risk Prediction using Small Language Models
Liv Björkdahl, Oskar Pauli, Johan Östman et al. International Conference on Machine Learning and Applications, 2024. Cites: paper

Underdiagnosis Bias of Chest Radiograph Diagnostic AI can be Decomposed and Mitigated via Dataset Bias Attributions
Yuta Kobayashi, Haoran Zhang, Harvineet Singh et al. medRxiv, 2024. Cites: paper

AI-Ready Multimodal Data Pipeline to Enrich Cancer Care
Rezaur Rashid, Soheil Hashtarkhani, Fekede Asefa Kumsa et al. IEEE International Conference on Big Data (BigData), 2024. Cites: paper

Computer vision algorithms in healthcare: Recent advancements and future challenges
Md. Mohsin Kabir, Ashifur Rahman, Md Nahid Hasan et al. Computers in Biology and Medicine, 2024. Cites: paper

ItpCtrl-AI: End-to-end interpretable and controllable artificial intelligence by modeling radiologists’ intentions
Trong-Thang Pham, Jacob Brecheisen, Carol C. Wu et al. Artificial Intelligence in Medicine, 2024. Cites: paper

Multimodal large model pretraining, adaptation and efficiency optimization
Lixia Ji, Shijie Xiao, Jingmei Feng et al. Neurocomputing, 2024. Cites: paper

MCIDN: Deblurring Network for Metal Corrosion Images
Jiaxiang Wang, Meng Wan, Pufen Zhang et al. Applied Sciences, 2024. Cites: paper

FG-CXR: A Radiologist-Aligned Gaze Dataset for Enhancing Interpretability in Chest X-Ray Report Generation
Trong-Thang Pham, Ngoc-Vuong Ho, Nhat-Tan Bui et al. Lecture notes in computer science, 2024. Cites: paper

Generative Self-supervised Learning for Medical Image Classification
Inhyuk Park, Sungeun Kim, Jongbin Ryu. Lecture notes in computer science, 2024. Cites: paper

Seeing Through Expert’s Eyes: Leveraging Radiologist Eye Gaze and Speech Report with Graph Neural Networks for Chest X-Ray Image Classification
Jamalia Sultana, Ruwen Qin, Zhaozheng Yin. Lecture notes in computer science, 2024. Cites: paper

Contrastive concept-phrase pre-training for generating clinically accurate and interpretable chest X-ray reports
Abdallah Tubaishat, Tehseen Zia, David Windridge et al. Neural Computing and Applications, 2024. Cites: paper

Contextualized race and ethnicity annotations for clinical text from MIMIC-III
Oliver J. Bear Don’t Walk, Adrienne Pichon, Harry Reyes Nieva et al. Scientific Data, 2024. Cites: dataset

Intersection of Performance, Interpretability, and Fairness in Neural Prototype Tree for Chest X-Ray Pathology Detection: Algorithm Development and Validation Study
Hongbo Chen, Myrtede C. Alfred, Andrew D. Brown et al. JMIR Formative Research, 2024. Cites: paper

Revolutionizing healthcare: a comparative insight into deep learning’s role in medical imaging
Vivek Kumar Prasad, Ashwin Verma, Pronaya Bhattacharya et al. Scientific Reports, 2024. Cites: paper

Addressing Class Imbalance with Latent Diffusion-based Data Augmentation for Improving Disease Classification in Pediatric Chest X-rays
Sivaramakrishnan Rajaraman, Zhaohui Liang, Zhiyun Xue et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

A Multimodal Deep Neural Network for Causally Learning Chest X-ray Images
Ma Qin, Lin Zeng, Shikui Tu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

Bootstrapping Radiography Pre-training via Siamese Masked Vision-Language Modeling with Complementary Self-distillation
Wenqiang Li, Luyang Luo, Hao Chen. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

C2RG: Parameter-efficient Adaptation of 3D Vision and Language Foundation Model for Coronary CTA Report Generation
Zhiyu Ye, Yue Sun, Wei Shi et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

DeepClean – Contrastive Learning Towards Quality Assessment in Large-Scale CXR Data Sets
Sofia Cardoso Pereira, João Pedrosa, Joana Rocha et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

Enhancing Chest X-ray Diagnostics with Neighbor-assisted Multimodal Integration
Chenjie Xu, Yang Pan, Bing Hu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

FODA-PG for Enhanced Medical Imaging Narrative Generation: Adaptive Differentiation of Normal and Abnormal Attributes
Kai Shu, Yuzhuo Jia, Ziyang Zhang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

IDQCE: Instance Discrimination Learning Through Quantized Contextual Embeddings for Medical Images
Azad Singh, Deepak Mishra. Lecture notes in computer science, 2024. Cites: paper

Learning from Inside: Self-driven Intra-modality Siamese Knowledge Generation and Inter-modality Alignment for Chest X-rays Vision-Language Pre-training
Lihong Qiao, Long Di Cheng, Yucheng Shu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

PRIDE: Pediatric Radiological Image Diagnosis Engine Guided by Medical Domain Knowledge
Yuze Zhao, Shijie Pang, Zhuoyao Wang et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

Radiographic Reports Generation via Retrieval Enhanced Cross-modal Fusion
Xia Hou, Yifan Luo, Wenfeng Song et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

S2CCT: Self-Supervised Collaborative CNN-Transformer for Few-shot Medical Image Segmentation
Rongzhou Zhou, Ziqi Shu, Weixing Xie et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

Symbiotic Fusion of Evolving Anatomical Landscapes for Intelligent Diagnostic Narratives
Hanyue Du, Yong Zhuang, Jingyu Xu. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

Zero-Shot Diagnosis of Unseen Pulmonary Diseases via Spatial Domain Adaptive Correction and Guidance by ChatGPT-4o
Junjie Wang, Tengfei Wang, Jun Xu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

A Label-focused Transformer for Generating Illness-aware Medical Reports
Siyuan Zhou, Hongxia Bie. IEEE Smart World Congress (SWC), 2024. Cites: paper

Multi-modal large language models in radiology: principles, applications, and potential
Yiqiu Shen, Yanqi Xu, Jiajian Ma et al. Abdominal Radiology, 2024. Cites: paper

Dual-modality visual feature flow for medical report generation
Quan Tang, Liming Xu, Yongheng Wang et al. Medical Image Analysis, 2024. Cites: paper

KEXNet: A Knowledge-Enhanced Model for Improved Chest X-Ray Lesion Detection
Quan Yan, Junwen Duan, Jianxin Wang. Big Data Mining and Analytics, 2024. Cites: paper

Annotation-free multi-organ anomaly detection in abdominal CT using free-text radiology reports: a multi-centre retrospective study
Junya Sato, Kento Sugimoto, Yuki Suzuki et al. EBioMedicine, 2024. Cites: paper

Fine-Tuning Large Language Models for Specialized Use Cases
DM Anisuzzaman, Jeffrey G. Malins, Paul A. Friedman et al. Mayo Clinic Proceedings Digital Health, 2024. Cites: paper

LHR-RFL: Linear Hybrid-Reward-Based Reinforced Focal Learning for Automatic Radiology Report Generation
Xiulong Yi, You Fu, Jianzhi Yu et al. IEEE Transactions on Medical Imaging, 2024. Cites: paper

Pursuing an Effective Vision Encoder for Enhancing Explainable X-Ray Report Generation
Chayan Mondal, Duc-Son Pham, Tele Tan et al. International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2024. Cites: paper

RadEdit: Stress-Testing Biomedical Vision Models via Diffusion Image Editing
Fernando Pérez‐García, Sam Bond-Taylor, Pedro P. Sanchez et al. Lecture notes in computer science, 2024. Cites: paper

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

Large-scale long-tailed disease diagnosis on radiology images
Qiaoyu Zheng, Weike Zhao, Chaoyi Wu et al. Nature Communications, 2024. Cites: paper

Minimal data poisoning attack in federated learning for medical image classification: An attacker perspective
K. Naveen Kumar, Chalavadi Krishna Mohan, Linga Reddy Cenkeramaddi et al. Artificial Intelligence in Medicine, 2024. Cites: paper

The Power of Context: A Comparative Analysis of Text Embeddings in Radiology Report Generation
Hilya Tsaniya, Chastine Fatichah, Nanik Suciati. International Conference on Information and Communications Technology (ICOIACT), 2024. Cites: paper

Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey
Qika Lin, Yifan Zhu, Xin Mei et al. Information Fusion, 2024. Cites: paper

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