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

Classifying Pulmonary Diseases Using Small Multimodal Model on X-Ray Images and Reports
Minh Kien Thai, Duc-Khanh Tran. RIVF International Conference on Computing and Communication Technologies (RIVF), 2025. Cites: paper

BiFormer-Seg: Dual-Branch Visual Encoding and Text-Guided Decoding for Radiological Segmentation
Chenxi Yang, Jiesen Shi, Hao Gong et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

MedCMCL-VLP: A Cross-Modal Dual-Phase Progressive Curriculum Learning Vision-Language Pre-Training Framework for Radiology Zero-Shot Classification
Jiani Li, Zelan Li, Jianning Chi et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

MMKPL-Seg: Knowledge Proxy Learning with Missing Modalities for Medical Image Segmentation
Shuaipeng Ding, Mengnan Fan, Mingyong Li. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

Radixpert: A Multimodal Approach to Medical Imaging
Muhammad Abdul Rafey Farooqi, Areeb Ahmad Chaudhry, Muhammad Yasir Ghaffar et al. International Conference on Frontiers of Information Technology (FIT), 2025. Cites: paper

DMMSA net: a dual multi-modal self-attention network for lung target areas segmentation using chest radiology images and reports
Longjiang E, Yi Cai, Baisong Zhao et al. Journal of King Saud University - Computer and Information Sciences, 2025. Cites: paper

From Sight to Insight: Enhancing Confusable Structure Segmentation via Vision-Language Mutual Prompting
Yixiang Huang, Yihao Zuo, Mengqiu Xu et al. IEEE Transactions on Multimedia, 2025. Cites: paper

Text-Driven Medical Image Segmentation With LLM Semantic Bridge and LLM Prompt Bridge
Zhengyi Liu, Jiali Wu, Xianyong Fang et al. IEEE Signal Processing Letters, 2025. Cites: paper

MultiModal craniocerebral diagnose based on 3D CT and image reports
Wenxuan He, Qishen Chen, Wei Gao et al. Scientific Reports, 2025. Cites: paper

Vision-Language Models: A Review of Applications and Future Directions
Chenyu Guo. Advances in Engineering Technology Research, 2025. Cites: paper

EVA-X: a foundation model for general chest x-ray analysis with self-supervised learning
Jingfeng Yao, Xinggang Wang, Yuehao Song et al. npj Digital Medicine, 2025. Cites: paper

Feature Decomposition via Shared Low-Rank Matrix Recovery for CT Report Generation
Yuanhe Tian, Yan Song. IEEE Transactions on Medical Imaging, 2025. Cites: paper

Vision Language Transformer Framework for Efficient Cancer Diagnosis through Multimodal Integration
Bala Gangadhara Gutam, Sunil Kumar Malchi. Journal of Electronics Electromedical Engineering and Medical Informatics, 2025. Cites: paper

MGTP: Multi-Granularity Textual Prompts for Low-Dose Brain PET Image Denoising via Adversarial Diffusion Model
Jiaqi Cui, Xinyi Zeng, Pinxian Zeng et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Semantic-Aware Hard Negative Mining for Medical Vision-Language Contrastive Pretraining
Yongxin Li, Ying Cheng, Yaning Pan et al. ACM International Conference on Multimedia (ACM MM), 2025. Cites: paper

GTGM: Generative Text-Guided 3D Vision-Language Pretraining for Medical Image Segmentation
Yinda Chen, Che Liu, Wei Huang et al. IEEE International Conference on Computer Vision Workshops, 2025. Cites: paper

Prediction Degeneracy in Medical Vision-Language Models: Implications for Robustness and Interpretability
Martin Goetze, Dennis Eschweiler, Brendan Huang et al. IEEE International Conference on Computer Vision Workshops, 2025. Cites: paper

RadZero3D: Bridging Self-Supervised Video Models and Medical Vision-Language Alignment for Zero-Shot Chest CT Interpretation
Jonggwon Park, Kyoyun Choi, Byungmu Yoon et al. IEEE International Conference on Computer Vision Workshops, 2025. Cites: paper

TextSAM-EUS: Text Prompt Learning for SAM to Accurately Segment Pancreatic Tumor in Endoscopic Ultrasound
Pascal Spiegler, Taha Koleilat, Arash Harirpoush et al. IEEE International Conference on Computer Vision Workshops, 2025. Cites: paper

A systematic review of multi-modal large language models on domain-specific applications
Sirui Li, Kok Wai Wong, Guanjin Wang et al. Artificial Intelligence Review, 2025. Cites: paper

ClinVLA: an image-text retrieval method for promoting hospital diagnosis data analysis and patient health prediction
Xiao Hao, Jiaxiang Liu, Chen Yang. Frontiers in Physiology, 2025. Cites: paper

Foundation Model for Medical Imaging: A Comprehensive Review
Licheng Jiao, Jingyi Yang, Ruiyang Li et al. IEEE Transactions on Artificial Intelligence, 2025. Cites: paper

REMix: Refinement-Enhanced Visual-Textual Mixing for Lesion Segmentation
Soojin Hwang, Jaeyoon Sim, Won Hwa Kim. Lecture notes in computer science, 2025. Cites: paper

Specialised or Generic? Tokenization Choices for Radiology Language Models
Hermione Warr, Wentian Xu, Harry Anthony et al. Lecture notes in computer science, 2025. Cites: paper

Development of a large-scale grounded vision language dataset for chest CT analysis
Xiaoman Zhang, Chaoyi Wu, Ziheng Zhao et al. Scientific Data, 2025. Cites: dataset

Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution
Zeynep Özdemir, Hacer Yalım Keleş, Ömer Özgür Tanriöver. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Interpreting CT-Scans with CLIP: An Explorative Study of Attribution Methods for 3D Vision-Language Models
David Avedis Injarabian, Joonas Ariva, Hendrik Šuvalov et al. Lecture notes in computer science, 2025. Cites: paper

Chestxgen: Dynamic Memory-Augmented Vision-Language Transformer with Context-Aware Gating for Radiology Report Generation
Sharofiddin Allaberdiev, Asif Khan, Sardor Mamarasulov et al. Journal of Artificial Intelligence and Soft Computing Research, 2025. Cites: paper

Dual-Guided 3D Liver CT Image Generation for Medical Analysis
Zhizhen Song, Jingke Zhu, Wenyuan Huang et al. Lecture notes in computer science, 2025. Cites: paper

Enhancing visual and semantic alignment of multimodal large models in medical images
Qifan Liu, Yuxuan Fang, Xiyuan Liu. The Journal of Supercomputing, 2025. Cites: paper

Frequency-Domain Multi-modal Fusion for Language-Guided Medical Image Segmentation
Bo Yu, Jianhua Yang, Zetao Du et al. Lecture notes in computer science, 2025. Cites: paper

MG-UNet: A Memory-Guided UNet for Lesion Segmentation in Chest Images
Shuaipeng Ding, Mingyong Li, Chao Wang. Lecture notes in computer science, 2025. Cites: paper

Enhancing Radiology Report Interpretation through Modality-Specific RadGraph Fine-Tuning
Haoyue Guan, Yuwei Dai, Shadi Afyouni et al. Lecture notes in computer science, 2025. Cites: paper

InstructX2X: An Interpretable Local Editing Model for Counterfactual Medical Image Generation
Hyungi Min, T. You, Hangyeul Lee et al. Lecture notes in computer science, 2025. Cites: paper

IP-CRR: Information Pursuit for Interpretable Classification of Chest Radiology Reports
Yuyan Ge, Kwan Ho Ryan Chan, Pablo Messina et al. Lecture notes in computer science, 2025. Cites: paper

MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization
Huihui Xu, Yuanpeng Nie, Hualiang Wang et al. Lecture notes in computer science, 2025. Cites: paper

More Performant and Scalable: Rethinking Contrastive Vision-Language Pre-training of Radiology in the LLM Era
Yuwei Li, Haoran Lai, Xiaoqian Zhou et al. Lecture notes in computer science, 2025. Cites: paper

PathVG: A New Benchmark and Dataset for Pathology Visual Grounding
Chunlin Zhong, Shuang Hao, Junhua Wu et al. Lecture notes in computer science, 2025. Cites: paper

RadAlign: Advancing Radiology Report Generation with Vision-Language Concept Alignment
Difei Gu, Yunhe Gao, Yang Zhou et al. Lecture notes in computer science, 2025. Cites: paper

RRG-DPO: Direct Preference Optimization for Clinically Accurate Radiology Report Generation
Hong Liu, Dong Wei, Zhe Xu et al. Lecture notes in computer science, 2025. Cites: paper

SimCroP: Radiograph Representation Learning with Similarity-Driven Cross-Granularity Pre-training
Rongsheng Wang, Fenghe Tang, Qingsong Yao et al. Lecture notes in computer science, 2025. Cites: paper

ViTexNet: Vision-Text Guided Dynamic Convolution Network for Medical Image Segmentation
Rahul Bhardwaj, Utkarsh Yashwant Tambe, Debanga Raj Neog. Lecture notes in computer science, 2025. Cites: paper

CoCa-CXR: Contrastive Captioners Learn Strong Temporal Structures for Chest X-Ray Vision-Language Understanding
Yixiong Chen, Shawn Xu, Andrew Sellergren et al. Lecture notes in computer science, 2025. Cites: paper

Exploring Text-Enhanced Mixture-of-Experts for Semi-supervised Medical Image Segmentation with Composite Data
Qingjie Zeng, Huan Luo, Xinke Ma et al. Lecture notes in computer science, 2025. Cites: paper

Fairness and Robustness of CLIP-Based Models for Chest X-Rays
Théo Sourget, David S. Restrepo, Céline Hudelot et al. Lecture notes in computer science, 2025. Cites: paper

CXR-TFT: Multi-modal Temporal Fusion Transformer for Predicting Chest X-Ray Trajectories
Mehak Arora, Ayman Ali, Kaiyuan Wu et al. Lecture notes in computer science, 2025. Cites: paper

Enhancing the Interpretation of Skin Lesion Diagnosis: Concept Adaptive Fine-Tuning of Vision-Language Models
Yang Yang Zhu, Xiaoyan Wang, Xiaojie Huang et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Med3DVLM: An Efficient Vision-Language Model for 3D Medical Image Analysis
Yu Xin, Gorkem Can Ates, Kuang Gong et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Two stage large language model approach enhancing entity classification and relationship mapping in radiology reports
Chaiho Shin, Dareen Eom, Sang Min Lee et al. Scientific Reports, 2025. Cites: paper

From large language models to multimodal AI: a scoping review on the potential of generative AI in medicine
Lukas Buess, Matthias Keicher, Nassir Navab et al. Biomedical Engineering Letters, 2025. Cites: paper

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