Publications citing MS-CXR: Making the Most of Text Semantics to Improve Biomedical Vision-Language Processing v1.1.0

A Comprehensive Survey of Foundation Models in Medicine
Wasif Khan, Seowung Leem, Kyle B. See et al. IEEE Reviews in Biomedical Engineering, 2025. Cites: paper

Hybrid cross-modality fusion network for medical image segmentation with contrastive learning
Xichuan Zhou, Qianqian Song, Jing Nie et al. Engineering Applications of Artificial Intelligence, 2025. Cites: paper

Exploring scalable medical image encoders beyond text supervision
Fernando Pérez‐García, Harshita Sharma, Sam Bond-Taylor et al. Nature Machine Intelligence, 2025. Cites: paper

MedFILIP: Medical Fine-Grained Language-Image Pre-Training
Xinjie Liang, Xiangyu Li, Fanding Li et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

ICH-PRNet: a cross-modal intracerebral haemorrhage prognostic prediction method using joint-attention interaction mechanism
Xinlei Yu, Ahmed Elazab, Ruiquan Ge et al. Neural Networks, 2025. Cites: paper

Automatic medical report generation based on deep learning: A state of the art survey
Xinyao Liu, Junchang Xin, Qi Shen et al. Computerized Medical Imaging and Graphics, 2025. Cites: paper

Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging
Özgün Turgut, Philip Müller, Paul Hager et al. Medical Image Analysis, 2025. Cites: paper

Open challenges and opportunities in federated foundation models towards biomedical healthcare
Xingyu Li, Lu Peng, Yu‐Ping Wang et al. BioData Mining, 2025. Cites: paper

Advancing Medical Radiograph Representation Learning: A Hybrid Pre-training Paradigm with Multilevel Semantic Granularity
Hanqi Jiang, Xixuan Hao, Yuzhou Huang et al. Lecture notes in computer science, 2025. Cites: paper

Anatomy-Aware Mixture of Experts for Medical Vision-Language Pre-training
Kun Shi, Haiwei Pan, Kejia Zhang. Lecture notes in computer science, 2025. Cites: paper

Domain Adaptation and Generalization Using Foundation Models in Healthcare Imaging
Haoran Ying, Yijun Lia, Zeming Fu. SSRN Electronic Journal, 2025. Cites: paper

Eliminating Non-Overlapping Semantic Misalignment for Cross-Modal Medical Retrieval
Zeqiang Wei, Zeyi Hou, Xiuzhuang Zhou. IEEE Signal Processing Letters, 2025. Cites: paper

GF-LLaVA: Fusing Multi-granularity for Multimodal Biomedical Images
Shuo Li, Shiqi Liu, Linsen Zhang et al. IFAC-PapersOnLine, 2025. Cites: paper

Lie Group-Based Multimodal Dynamic Attention for Chest X-ray Diagnosis
Tianchen Fang, Guiru Liu. Communications in computer and information science, 2025. Cites: paper

MFTrans: An Extensible Transformer-Based Medical Multimodal Data Fusion Method for Clinical Diagnosis
Xinlong Liu, Chunping Li. Communications in computer and information science, 2025. Cites: paper

Multi-Grained Vision-and-Language Model for Medical Image and Text Alignment
Huimin Yan, Xian Yang, Liang Bai et al. IEEE Transactions on Multimedia, 2025. Cites: paper

Multimodal transformers for joint diagnosis and retrieval from chest X-rays and radiology reports
Mojtaba Jahanian, Abbas Karimi, Nafiseh Osati Eraghi et al. Informatics in Medicine Unlocked, 2025. Cites: paper

Natural Language Processing and Machine Learning for Analysis of Radiology Reports: A Systematic Review
Umay Kulsoom, Frank G. Glavin, Malika Bendechache. IEEE Access, 2025. Cites: paper

PLZero: placeholder based approach to generalized zero-shot learning for multi-label recognition in chest radiographs
Chengrong Yang, Qiwen Jin, Fei Du et al. Complex & Intelligent Systems, 2025. Cites: paper

TextCAVs: Debugging Vision Models Using Text
Angus Nicolson, Yarin Gal, Julia Alison Noble. Lecture notes in computer science, 2025. Cites: paper

Text-Driven Medical Image Segmentation With Text-Free Inference via Knowledge Distillation
Pengyu Zhao, Yonghong Hou, Zhijun Yan et al. IEEE Transactions on Instrumentation and Measurement, 2025. Cites: paper

TITFormer: Combining Textual Modality and Simulating Infrared Modality Based on Transformer for Image Enhancement
Kaijiang Li, Haining Li, Miduo Cui et al. IEEE Transactions on Multimedia, 2025. Cites: paper

A Multimodal Biomedical Foundation Model Trained from Fifteen Million Image–Text Pairs
Sheng Zhang, Yanbo Xu, Naoto Usuyama et al. NEJM AI, 2024. Cites: paper

Improving CLIP for Biomedical Retrieval: A Multi-Margin Contrastive Loss Approach
Ejan Shakya, Haritha Prasad Rayakota, Pei-Chi Huang. IEEE International Conference on Big Data (BigData), 2024. Cites: paper

Unlocking the Potential of Weakly Labeled Data: A Co-Evolutionary Learning Framework for Abnormality Detection and Report Generation
Jinghan Sun, Dong Wei, Zhe Xu et al. IEEE Transactions on Medical Imaging, 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

MMPL-Seg: Prompt Learning with Missing Modalities for Medical Segmentation
Ruowen Qu, Wenxuan Wu, Yeyi Guan 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

Mathematically-Grounded Multimodal Attention Network for Breast Cancer Prognosis
Maotao Guo, Zihang Luo, Junze Liu et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2024. Cites: paper

HERGen: Elevating Radiology Report Generation with Longitudinal Data
Fuying Wang, Shenghui Du, Lequan Yu. Lecture notes in computer science, 2024. Cites: paper

Cross-modal contrastive learning for unified placenta analysis using photographs
Yimu Pan, Manas Mehta, Jeffery A. Goldstein et al. Patterns, 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

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

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

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

Report-Concept Textual-Prompt Learning for Enhancing X-ray Diagnosis
Xiongjun Zhao, Zhengyu Liu, Фэн Лю et al. 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: paper

Automatic medical report generation combining contrastive learning and feature difference
Chongwen Lyu, Chengjian Qiu, Kai Han et al. Knowledge-Based Systems, 2024. Cites: paper

Generating MRI Images Based on Clinical Text Using Diffusion Models for Breast Cancer
Arwa Alali, Nabil Hewahi. International Conference on Data Analytics for Business and Industry (ICDABI), 2024. Cites: paper

Multimodal Foundation Models for Medical Imaging - A Systematic Review and Implementation Guidelines
Shih-Cheng Huang, Malte Jensen, Serena Y. Yeung et al. medRxiv, 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

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

Bi-VLGM: Bi-Level Class-Severity-Aware Vision-Language Graph Matching for Text Guided Medical Image Segmentation
Wenting Chen, Jie Liu, Tianming Liu et al. International Journal of Computer Vision, 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

A Novel Detection and Classification Framework for Diagnosing of Cerebral Microbleeds Using Transformer and Language
Cong Chen, Linlin Zhao, Qin Lang et al. Bioengineering, 2024. Cites: paper

Leveraging foundation and large language models in medical artificial intelligence
Io Nam Wong, Olivia Monteiro, Daniel Tomas Baptista‐Hon et al. Chinese Medical Journal, 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

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

Enhancing the vision–language foundation model with key semantic knowledge-emphasized report refinement
Weijian Huang, Cheng Li, Hao Yang et al. Medical Image Analysis, 2024. Cites: paper

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