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

FreqSAD-Seg: Frequency-Aware Semantic Alignment Distillation for Text-Free Medical Image Segmentation
Hai Li, Rui Guo, Chenglu Li. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper

GCFSeg: Text-Guided Pulmonary Infection Segmentation for Clinical Decision Support via Adaptive Frequency-Domain Feature Decoupling
Hai Li, Wanli Xing, Chenglu Li. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper

Pseudocode Generation from Clinical Protocol Flowchart using Large Vision-Language Models
Le Zhou, Xiao Luo, Chinmay Chandra et al. IEEE International Conference on Healthcare Informatics (ICHI), 2026. Cites: paper

Perceiving Symmetry and Variability: A Probabilistic Vision–Language Framework for Medical Image Segmentation
Jiu Chun Jiang, Qi Zhou, Chu He. Symmetry, 2026. Cites: paper

PatchCLIP enables region specific contrastive health record and image joint training with patch embedding loss
Sheethal Bhat, Awais Mansoor, Bogdan Georgescu et al. Scientific Reports, 2026. Cites: paper

Vision Language Models for Medical Imaging
Vipin Tyagi. Advances in computational intelligence and robotics book series, 2026. Cites: paper

DPA-HiVQA: Enhancing Structured Radiology Reporting with Dual-Path Cross-Attention
Ngoc Tuyen Do, Minh Nguyen Quang, Hai Van Pham. Machine Learning and Knowledge Extraction, 2026. Cites: paper

Abnormality-Aware Knowledge Graph and Hierarchical Cross-Attention in LLM for Radiology Report Generation
Tae Seong Eom, Byung Cheol Song. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

Salient Diagnostic Value Perception For Preoperative Posterior Fossa Tumor Diagnosis
Zheng Chen, Peng Li, Zheyu Zhang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

TGME-Net: Text-Guided Multi-Scale Enhancement Network for Semi-Supervised Medical Image Segmentation
Feng Li, Chen Sun, Bing Wang et al. IEEE International Conference on Acoustics Speech and Signal Processing, 2026. Cites: paper

A Dirichlet Distribution-Based Trust-Adaptive Ensemble Approach for Pneumonia Classification from Chest X-Ray Images
Wissam Harib, Shereen Fouad, Taha F. Mahmoud. IEEE International Symposium on Biomedical Imaging (ISBI), 2026. Cites: paper

Semantic segmentation of medical images in radiotherapy through large‑language‑model‑augmented learning
Xianjin Dai, Praveenbalaji Rajendran, Zhuoran Jiang et al. SPIE Medical Imaging: Imaging Informatics for Healthcare, Research, and Applications, 2026. Cites: paper

Zero-Shot Lung Disease Detection Using Radiological Symptomatic Descriptors and Pretrained Neural Networks
MD SABBIR AHMED, Md. Abdul Hamid, Muhammad Mostafa Monowar et al. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

Meta-Entity Driven Triplet Mining for Aligning Medical Vision-Language Models
Melih Yilmaz, Şaban Öztürk, Muti Kara et al. IEEE Journal of Biomedical and Health Informatics, 2026. Cites: paper

HiMix : Hierarchical Visual-Textual Mixing Network for Lesion Segmentation
Soojin Hwang, Jaeyoon Sim, Won Hwa Kim. IEEE Winter Conference on Applications of Computer Vision, 2026. Cites: paper

Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding
Jun Li, C H Liu, Wenjia Bai et al. IEEE Winter Conference on Applications of Computer Vision, 2026. Cites: paper

MAFM 3 : Modular Adaptation of Foundation Models for Multi-Modal Medical AI
Mohammad Areeb Qazi, Munachiso Samuel Nwadike, Ibrahim Almakky et al. IEEE Winter Conference on Applications of Computer Vision, 2026. Cites: paper

Uncertainty-Aware Vision-Language Segmentation for Medical Imaging
Aryan Das, Tanishq Rachamalla, Koushik Biswas et al. IEEE Winter Conference on Applications of Computer Vision, 2026. Cites: paper

Improving Negation Understanding in Medical Vision-Language Models via Contrastive Fine-Tuning
Jasmine Vu, Shivanand Venkanna Sheshappanavar. IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW), 2026. Cites: paper

Efficient multimodal learning using BERT and vision transformers for visual question answering on peripheral blood cells
Faheem Shehzad, Ciro Mennella, Massimo Esposito et al. Discover Artificial Intelligence, 2026. Cites: paper

Enhancing Radiography-Report foundation model via Multi-View masked contrastive learning
Xiaoyu Li, Mingyu Wang, Zhiyong Huang et al. Pattern Recognition, 2026. Cites: paper

Large language models in radiogenomics: a comprehensive survey of applications from imaging to genetics
Muhammad Nadeem Cheema, Anam Nazir, Arif O. Harmanci et al. The Visual Computer, 2026. Cites: paper

Context-Aware Diagnostic Fusion: A Theoretical Framework for Multi-Modal Reasoning in Chest Radiograph
Md Muzibur Rahman Rukon, Nafisa Islam. IEEE SoutheastCon, 2026. Cites: paper

Federated Vision-Language Models for Privacy-Preserving Medical Image Analysis
Singamaneni Krishnapriya, Amaravarapu Pramod Kumar, Boddupally Janaiah et al. Journal of Applied Science and Technology Trends, 2026. Cites: paper

Recent Progress in Deep Learning for Chest X-Ray Report Generation
Mounir Salhi, Moulay A. Akhloufi. BioMedInformatics, 2026. Cites: paper

A multimodal vision–language model for generalizable annotation-free pathology localization
Hao Yang, Hong-Yu Zhou, Jiarun Liu et al. Nature Biomedical Engineering, 2026. Cites: paper

Adapter-Based Vision–Language Fusion for Skin Cancer Diagnosis Using Synthetic Data
Asma Khan, Hyeonjoon Moon, Wonjong Noh. IEEE Transactions on Multimedia, 2026. Cites: paper

Advancing Fine-Grained Spine Segmentation Through Visual-Language Model with Omni- and Pixel-Level Semantic Enhancements
Jianlong Cai, Sheng Lian, Dengfeng Pan et al. Lecture notes in computer science, 2026. Cites: paper

A New Generative Generalised Zero‐Shot Recognition for Chest X‐Ray Images
Hongfa Zhu, Guimei Zhang, Yuanning Wang. IET Image Processing, 2026. Cites: paper

Artificial intelligence-assisted imaging technologies for disease diagnosis
Luis Pinto Coelho. Elsevier eBooks, 2026. Cites: paper

Concept-Enhanced Hypergraph-Guided Medical Image Retrieval Using CUI Semantics
Muhammad Saad, Md. Hasan Emam, Md. Ibrahim Sani et al. IEEE Access, 2026. Cites: paper

Decoupling Target Semantics via Text-Anchored Visual Contrast for Semi-Supervised Medical Image Segmentation
Qingjie Zeng, Huan Luo, Xinke Ma et al. IEEE Transactions on Image Processing, 2026. Cites: paper

MedCure: Medical Data Curation for Efficient Vision–Language Pretraining
Chong Wang, Fengbei Liu, Yuyuan Liu et al. IEEE Transactions on Image Processing, 2026. Cites: paper

Medical Vision Language Model With Multi-granularity Alignment and Learning Data Augmentation
Daoqiang Gao, Yang Hua, Wenjie Zhang et al. Lecture notes in computer science, 2026. Cites: paper

MedSynV2: Flexible Control of 3D CT Generation via Text and Semantically-Defined Segmentation Prompts
Weicheng Dai, Chenyu Wang, Shantanu Ghosh et al. Lecture notes in computer science, 2026. Cites: paper

Mimicking Radiologists: A Coarse-to-Fine Framework with Structural Sparse Tokens for Dual-LLM Computed Tomography Report Generation
Hong Liu, Dong Wei, Yefeng Zheng et al. Lecture notes in computer science, 2026. Cites: paper

Multimodal Contrastive Learning for Clinical Data Alignment via Fat Composition Representations
Bernabe Sanchez-Sos, Mario Tomé-Fernández, Ismael Beviá-Ballesteros et al. Lecture notes in networks and systems, 2026. Cites: paper

Multimodal Vision-Language Model for Joint Interpretation of Chest X-Ray Images and Free-Text Radiology Requests to Generate Structured Preliminary Reports
Hassan Rahman, Tariq Mahmood, Ali Raza. Journal of Artificial Intelligence for Healthcare Systems, 2026. Cites: paper

Ontology-Based Concept Distillation for Radiology Report Retrieval and Labeling
Felix Nützel, Mischa Dombrowski, Bernhard Kainz. Lecture notes in computer science, 2026. Cites: paper

SLG-Flow: A Unified Framework from Semantic Labeling to Visual Generation
Feiyue Feng, Lei Wang, Junhao Chen et al. Communications in computer and information science, 2026. Cites: paper

Symptom-Aware Adaptation of CLIP for Few-Shot Medical Image Classification
Zexiang Li, Wenxu Wang, Chengpu Liu et al. IEEE Signal Processing Letters, 2026. Cites: paper

Text-Guided Knowledge Distillation for Text-Free Medical Image Segmentation
Thanh-Duy Lam, Le Thanh-Lam, Viet-Tuan Le et al. Procedia Computer Science, 2026. Cites: paper

TSMRG: Temporal Semantic Enhancement for Medical Report Generation With Longitudinal Data
Lili Cao, Haoran Wu, Bo Xu. IEEE Transactions on Multimedia, 2026. Cites: paper

Vision-Language Sliding Cross Attention for Text-Guided Pneumonia Segmentation
Fei Yao, Xiang Zhang, Xinang Jiang et al. Lecture notes in computer science, 2026. Cites: paper

VTMedSeg: Geometry-Guided Vision-Text Model With Concept-Aware Fusion for Medical Ultrasound Image Segmentation
Huan Wan, Wujian Xu, YiWen Zou et al. IEEE Signal Processing Letters, 2026. Cites: paper

Position Paper: Artificial Intelligence in Medical Image Analysis: Advances, Clinical Translation, and Emerging Frontiers
Andreas S. Panayides, Hao Chen, Nenad Filipović et al. IEEE Journal of Biomedical and Health Informatics, 2025. Cites: paper

Chest X-ray foundation models: A survey and future directions
Amelia Wang, Zefan Yang, Soroush Rais-Bahrami et al. Meta-Radiology, 2025. Cites: paper

Vision-language models in diagnostic imaging: review of technical advances, clinical validation, and practical deployment
Niharika Dutta, Kartik Bose, Emir A. Syailendra et al. International Journal of Medical Informatics, 2025. Cites: paper

Self-Reflective Chest X-Ray Report Generation with Clinical-Aware Detection and Multilevel Readability
Juhyuk Han, Minjae J. Kim, Yeonwoo Kim et al. Journal of Medical Systems, 2025. Cites: paper

Fine-Grained Visual Enhancement for Multimodal Biomedical Question Answering
Ruohong Li. International Conference on Machine Learning, Computational Intelligence and Pattern Recognition (MLCIPR), 2025. Cites: paper

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