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

Annotation-Free Vision–Language Concept Bottleneck Models for Interpretable Medical Image Classification: A Review
Tomas Tanczos, Jarmila Pavlovičová, Veronika Kurilová et al. Journal of Imaging, 2026. Cites: paper

Recent advances in multimodal deep learning for breast cancer diagnosis using data fusion vision language models and foundation models
Naoual El Aboudi, Laïla Benhlima. Discover Artificial Intelligence, 2026. Cites: paper

Vision–language foundation models for multimodal medical image understanding and report generation: a narrative review with quantitative synthesis
Shahid Mehmood, Farman Matloob Khan, Abeer A. K. Alharbi et al. Frontiers in Medicine, 2026. Cites: paper

High-Frequency Enhancement and Dual-Model Ensemble for Language-Guided COVID-19 Pneumonia Lesion Segmentation
Zhijun Gao, Jile Zheng, Jinhuan Wang et al. Biomedical Physics & Engineering Express, 2026. Cites: paper

A SAM2 and VLM-Based Automatic Radiological Reporting System for Pneumothorax Detection
Savaş Tunçer, Mustafa Yıldırım, Özal Yıldırım. Biomedicines, 2026. Cites: paper

Foundation Models and Vision-Language Models in Medical Imaging: A Review
Saeed Mohsen, Leena Mahmoud Lulu, Mohamed Eassa et al. Computers, 2026. Cites: paper

CXR-CoRe: Two-Stage View- and Section-Aware Study-Level Chest X-ray Report Retrieval
Yan Tian, Jianbing Ma. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

R3-Gen: Enhancing medical report generation with reasoning-reinforced fine-tuning
Ting Xiao, Yixing Qiu, Haofeng Yang et al. Pattern Recognition, 2026. Cites: paper

Benchmarking Vector Quantized Auto-Encoders for Multimodal Vision-Language Tokenization of Medical Images
Emilio Dolgener Cantú, Manasi Acharya, Jim Berend et al. Companion Publication of the International Conference on Multimodal Interaction (ICMI Companion), 2026. Cites: paper

BILATERAL VISION-LANGUAGE FRAMEWORK WITH CROSS-LATERAL ATTENTION FOR MAMMOGRAPHY
Beibit Abdikenov, Aruzhan Imasheva, Tomiris Zhaksylyk. Scientific Journal of Astana IT University, 2026. Cites: paper

Multimodal learning for imbalanced multi-label chest X-ray classification with radiology reports
Laihi Bahar Eddine, Antonio‐Javier Gallego, Antonio Pertusa. Pattern Analysis and Applications, 2026. Cites: paper

Prompt and Probe: Data-Efficient Adaptation of Black-Box Foundation Models via Unified Active Visual Prompting
Dwarikanath Mahapatra, Abhijit Das, Sudipta Roy et al. Lecture notes in computer science, 2026. Cites: paper

PromptMedCT: A Training-Free LLM-Guided Framework for Volumetric CT Data Realization with Quantifiable Disease Manifestations and Multi-tier Annotations
Muhammad Owais, Muhammad Shafay, Divya Velayudhan et al. Lecture notes in computer science, 2026. Cites: paper

TraceCXR: Verifiable Chest X-Ray Reports via Evidence-Addressable Graph Prompting
Hang Dong, Chao Sun, Hao Yan et al. Lecture notes in computer science, 2026. Cites: paper

Learning Role-Conditioned Alignment for Medical Image Referring Segmentation
Kun Li, Fu Wang, Feixiang Zhou et al. Lecture notes in computer science, 2026. Cites: paper

PCRP: Progressive Coarse-to-Fine Refinement for Pathology Grounding
Liang Peng, Chenxiao Li, Shaohua Dong et al. Lecture notes in computer science, 2026. Cites: paper

Text as the Sieve: Information Bottleneck Guided Prototype Sieving for Text-Guided Medical Image Segmentation
Jiake Long, Xinyi Zeng, Yan Wang. Lecture notes in computer science, 2026. Cites: paper

Bidirectional Anatomy-Aware Post-Training for Longitudinal Chest X-Ray Progression Modeling
Yuming Chen, Hui Wang, Minh‐Son To et al. Lecture notes in computer science, 2026. Cites: paper

Learning Directional Semantic Transitions for Longitudinal Chest X-Ray Analysis
Zhangfeng Hu, Zefan Yang, Ge Wang et al. Lecture notes in computer science, 2026. Cites: paper

MedTri: Structured Medical Report Normalization for Enhanced Vision–Language Pretraining
Yuetan Chu, Xinghua Ma, Xinran Jin et al. Lecture notes in computer science, 2026. Cites: paper

Understanding and Mitigating Distribution Shifts in Volumetric Lung Nodule CAD Using a 3D Vision-Language Framework
Bogdan Alexandru Bercean, Rafael Medelean, Andrei Tenescu et al. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

Anatomy-Aware Hierarchical Contrastive Hashing for Efficient Radiograph Classification and Retrieval
Jamil Ahmad, Habiba Almetnawy, Ahed Orabi et al. Technologies, 2026. Cites: paper

Anatomy-Guided Gated Cross-Attention for Chest X-Ray Visual Question Answering
Ahmet Celal Koç, Vael Kokach, Hasan Mert Yιldιrιm et al. International Artificial Intelligence and Data Processing Symposium (IDAP), 2026. Cites: paper

Attention Concentration Is Not Grounding: Regularizing Q-Former Cross-Attention for Chest X-Ray Report Generation
Ahmet Kaya, Vael Kokach, Elif Başak Yılmaz et al. International Artificial Intelligence and Data Processing Symposium (IDAP), 2026. Cites: paper

MA-FedLoRA: Gated Modality-Aware Federated Adaptation for Heterogeneous Medical Data
Qianyu Chen, Yanyan Zhang, Nong Si. International Conference on Computer Systems (ICCS), 2026. Cites: paper

Multimodal Fusion of Radiological Images and Clinical Reports for Multi-Label Chest Disease Detection under Class Imbalance
Zeynep Merve Koyuncu, Sefa Aras. International Artificial Intelligence and Data Processing Symposium (IDAP), 2026. Cites: paper

Integration of artificial intelligence and multi-omics for precision medicine
Hany E. S. Marei, Carlo Cenciarelli, David Vagni. Functional & Integrative Genomics, 2026. Cites: paper

AGIRA: Anatomy-Guided Image–Report Alignment with Finite-Scale Fractal Analysis for Chest X-Ray Representation Learning
Yuxuan Wang, Jianhong Yang, Hao Zhang. Fractal and Fractional, 2026. Cites: paper

MultiCardioNet: A Multimodal Deep Learning Model for Early Cardiovascular Deterioration Prediction in ICU Patients
Bassem Jandoubi, Moulay A. Akhloufi. Bioengineering, 2026. Cites: paper

Comparative Study of CNN, Hybrid, and Transformer Architectures in Medical Image Classification
Dina A. Elkholy, Mohamed S. Shehata, John W. Braun. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

SA-LanSeg: Bridging semi-automatic interaction and language guidance for medical image segmentation
Ziyu Huang, Yige Peng, M-M Xu et al. Pattern Recognition, 2026. Cites: paper

A vision transformer based leakage free concept bottleneck model for clinical skin lesion diagnosis
Kailash Chandra Kandpal, Prabhat Verma. Discover Computing, 2026. Cites: paper

Spot the Difference: Bilateral Contrastive Representation Learning for Nodule Classification
Sophie Crawford Haynes, Mahammad Shareef Mekala, Eyad Elyan. Lecture notes in computer science, 2026. Cites: paper

TRACE: Temporal Radiology with Anatomical Change Explanation for Grounded X-Ray Report Generation
O. F. M. Riaz Rahman Aranya, Kevin Desai. Lecture notes in computer science, 2026. Cites: paper

AtlasCT: Report-Conditioned 3D CT Synthesis with a Learnable Population Atlas Prior
Jiahe Hou, John Moraros, Shuihua Wang. International Conference on Computer Vision and Data Mining (ICCVDM), 2026. Cites: paper

Disease-Aware Visual Token Memory for Chest X-Ray Report Generation with VLMs
Radhika Haren Fichadia. IEEE World Conference on Applied Intelligence and Computing (AIC), 2026. Cites: paper

VLMs in Medical Imaging
Yichen Cai. International Conference on Artificial Intelligence Technologies and Applications (ICAITA), 2026. Cites: paper

AFCA-Net: An Adaptive Frequency-Domain Calibration Architecture for Language-Guided Medical Image Segmentation
BenHao Zheng, ChengZhe Xu. Lecture notes in computer science, 2026. Cites: paper

Language-Guided Segmentation of Medical Images: A Review of Foundation Models
Saqib Qamar. Bioengineering, 2026. Cites: paper

Residual Adapter Learning with Attention Pooling for Medical Visual Question Answering
Aya Nuseir, Marc Ebner. IFIP advances in information and communication technology, 2026. Cites: paper

Retrieval-Augmented Representation for Semi-Supervised Medical Image Segmentation
Huan Luo, Qingjie Zeng, Yanning Zhang et al. IEEE Transactions on Medical Imaging, 2026. Cites: paper

Frequency-semantic Joint Calibration for Text-guided Medical Image Segmentation
Jiaqi Mo, Shanshan Du, Ran Chen et al. International Symposium on Machine Learning and Media Computing (MLMC), 2026. Cites: paper

Prosima: Reliable Semantic-Aware Medical Image Recovery Via Lightweight Distributed Ledger
Mohsin Rasheed, Abdullah Al-Mamun. IEEE International Conference on Decentralized Applications and Infrastructures (DAPPS), 2026. Cites: paper

Generalized Medical Phrase Grounding
Wenjian Zhang, Shekhar S. Chandra, Aaron Nicolson. IEEE Transactions on Medical Imaging, 2026. Cites: paper

Medical Vision-Language Models: Existing Technologies, Clinical Applications and Future Directions
Le Zou, Mengyu Ma, J B Li et al. Sensors, 2026. Cites: paper

Synergizing Agentic Data Generation and Efficient Representation Learning for Medical Cross-Modal Understanding
Long Cheng. International Conference on Multimedia Retrieval, 2026. Cites: dataset

TG-MUNet: A Lightweight Text-Guided Mamba Unet for Semi-Supervised Medical Image Segmentation
Feng Li, Chen Sun, Bing Wang et al. International Conference on Multimedia Retrieval, 2026. Cites: paper

AnatomiX, an Anatomy-Aware Grounded Multimodal Large Language Model for Chest X-Ray Interpretation
Anees Ur Rehman Hashmi, Numan Saeed, Christoph Lippert. 2026. Cites: paper

Automated Chest X-Ray Report Generation: A Survey of Visual Encoding, Language Models, and Knowledge Integration Methods
Harsh Rohilla, Aayush Pratap Singh, Sanatan Ratna. International Conference on Data Science for Cyber-Physical Systems Resilience using Advanced Applications (ICDCA), 2026. Cites: paper

Evaluating a Multimodal Foundation Model for Glaucoma Classification from Fundus Images
Francesco Di Serio, Michela Gravina, Vincenzo Moscato et al. Proceedings - IEEE Symposium on Computer-Based Medical Systems, 2026. Cites: paper

Cited by