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

Automatic radiology report generation with deep learning: a comprehensive review of methods and advances
Yilin Li, Chao Kong, Guosheng Zhao et al. Artificial Intelligence Review, 2025. Cites: paper

Harnessing Text Insights With Visual Alignment for Medical Image Segmentation
Qingjie Zeng, Huan Luo, Zilin Lu et al. IEEE Transactions on Medical Imaging, 2025. Cites: paper

Hierarchical Contrastive Learning for Precise Whole-Body Anatomical Localization in PET/CT Imaging
Yaozong Gao, Yiran Shu, Mingyang Yu et al. IEEE Transactions on Medical Imaging, 2025. Cites: paper

Multi-modal graph-aware pre-training for disease classification and cross-modal retrieval in chest radiology
Ruibin Chen, Weidong Min, Qing Han et al. Pattern Recognition, 2025. Cites: paper

Grounded knowledge-enhanced medical vision–language pre-training for chest X-ray
Qiao Deng, Zhongzhen Huang, Yunqi Wang et al. Biomedical Signal Processing and Control, 2025. Cites: paper

The Impact of Multimodal Fusion methods and Debiasing Techniques for Medical VQA
Aya Nuseir, Marc Ebner. International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA), 2025. Cites: paper

Uncertainty-Aware Medical Diagnostic Phrase Identification and Grounding
Ke Zou, Yang Bai, Bo Liu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025. Cites: paper

A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text?
Julio Silva-Rodríguez, José Dolz, Ismail Ben Ayed. Lecture notes in computer science, 2025. Cites: paper

Knowledge-Enhanced Hyperbolic Language-Image Pretraining for Zero-Shot Learning
Linbin Han, Zhi Qiao, Xiantong Zhen et al. Lecture notes in computer science, 2025. Cites: paper

Temporal multimodal transformer for automated radiology reporting in traumatic brain injuries
Riadh Bouslimi, Mariem Medini, Maissa Ben Fradj. Network Modeling Analysis in Health Informatics and Bioinformatics, 2025. Cites: paper

Enhancing Clinical Reasoning in Medical Vision-Language Model through Structured Prompts
Kavya Dasaramoole Prakash, Kiseong Kim, Youngmahn Han. medRxiv, 2025. Cites: paper

M4CXR: Exploring Multitask Potentials of Multimodal Large Language Models for Chest X-Ray Interpretation
Jonggwon Park, Soobum Kim, Byungmu Yoon et al. IEEE Transactions on Neural Networks and Learning Systems, 2025. Cites: paper

CXR-LT 2024: A MICCAI challenge on long-tailed, multi-label, and zero-shot disease classification from chest X-ray
Mingquan Lin, Gregory Holste, Song Wang et al. Medical Image Analysis, 2025. Cites: paper

Large Language Models in Medical Image Analysis: A Systematic Survey and Future Directions
Bushra Urooj, Muhammad Fayaz, Sher Ali et al. Bioengineering, 2025. Cites: paper

OmicsNavigator : An auditable scientific partner for scalable hypothesis validation in spatial omics
Li Yiyao, Nirvi Vakharia, Weixin Liang et al. bioRxiv (Cold Spring Harbor Laboratory), 2025. Cites: paper

Improving Cross-Modal Consistency in Multimodal Biomedical AI: A Comprehensive Review of Techniques
Ankita Basak, Somenath Nag Choudhury, Partha Garai. International Conference on Computing, Intelligence, and Application (CIACON), 2025. Cites: paper

Scaling Chest X-Ray Foundation Models From Mixed Supervisions for Dense Prediction
Fuying Wang, Lequan Yu. IEEE Transactions on Medical Imaging, 2025. Cites: paper

A generative model uses healthy and diseased image pairs for pixel-level chest X-ray pathology localization
Jinli Suo, Kaiming Dong, Kunlun He et al. Nature Biomedical Engineering, 2025. Cites: paper

A Survey of Generalization and Adaptation in Medical Imaging Foundation Models
Haoran Ying, Yijun Lia, Zeming Fu. Preprints.org, 2025. Cites: paper

Radiology report generation using automatic keyword adaptation, frequency-based multi-label classification and text-to-text large language models
Zebang He, Alex Ngai Nick Wong, Jung Sun Yoo. Computers in Biology and Medicine, 2025. Cites: paper

A Unified Multimodal Multi-Granularity Pre-Training Framework for Fine-Grained Medical Image Analysis
Zenan Gong, Linchao He, Nan Zhou et al. International Joint Conference on Neural Networks (IJCNN), 2025. Cites: paper

R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest
Xupeng Chen, Zhixin Lai, Kangrui Ruan et al. International Joint Conference on Neural Networks (IJCNN), 2025. Cites: paper

ECAMP: Entity-centered Context-aware Medical Vision Language Pre-training
Rongsheng Wang, Qingsong Yao, Zihang Jiang et al. Medical Image Analysis, 2025. Cites: paper

Advancements in Radiology Report Generation: A Comprehensive Analysis
Dima Mamdouh, Mariam Attia, Osama Mohamed et al. Bioengineering, 2025. Cites: paper

Exploiting Heterogeneous Labels in Deep Learning for Medical Image Analysis : Application to the Automated Diagnosis of Liver Diseases
Emma Sarfati. 2025. Cites: paper

NSCLC histological subtype classification from CT scans using generalist 3D medical foundation models
Fatih Aksu, Fabrizia Gelardi, Arturo Chiti et al. IEEE International Conference on Healthcare Informatics (ICHI), 2025. Cites: paper

PadChest-GR: A Bilingual Chest X-Ray Dataset for Grounded Radiology Report Generation
Daniel C. Castro, Aurelia Bustos, Shruthi Bannur et al. NEJM AI, 2025. Cites: paper

VICCA: Visual interpretation and comprehension of chest X-ray anomalies in generated report without human feedback
Sayeh Gholipour Picha, Dawood Al Chanti, Alice Caplier. Machine Learning with Applications, 2025. Cites: paper

Vision-language foundation models for medical imaging: a review of current practices and innovations
Ji Seung Ryu, Hyunyoung Kang, Yuseong Chu et al. Biomedical Engineering Letters, 2025. Cites: paper

Visual-language foundation models in medical imaging: A systematic review and meta-analysis of diagnostic and analytical applications
Yiyao Sun, Xinran Wen, Yan Zhang et al. Computer Methods and Programs in Biomedicine, 2025. Cites: paper

MDFormer: Transformer-Based Multimodal Fusion for Robust Chest Disease Diagnosis
Xinlong Liu, Fei Pan, Hainan Song et al. Electronics, 2025. Cites: paper

Anatomical Grounding Pre-Training for Medical Phrase Grounding
Wenjun Zhang, Shekhar S. Chandra, Aaron Nicolson. IEEE International Symposium on Biomedical Imaging (ISBI), 2025. Cites: paper

CSMAE : Cataract Surgical Masked Autoencoder (MAE) Based Pre-Training
Nisarg A. Shah, Chaminda Bandara, Shameema Sikder et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2025. Cites: paper

Parameter-Efficient Fine-Tuning Medical Multimodal Large Language Models for Medical Visual Grounding
Jinlong He, Pengfei Li, Gang Liu et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2025. Cites: paper

CLIP in medical imaging: A survey
Zihao Zhao, Yuxiao Liu, Han Wu et al. Medical Image Analysis, 2025. Cites: paper

A Language-Guided Progressive Fusion Network with semantic density alignment for Medical Visual Question Answering
Shuxian Du, Shuang Liang, Yu Gu. Journal of Biomedical Informatics, 2025. Cites: paper

Multimodal multitask similarity learning for vision language model on radiological images and reports
Yang Yu, Jiahao Wang, Weide Liu et al. Neurocomputing, 2025. Cites: paper

Evaluating large language models for predicting psychiatric acute readmissions from clinical notes of population-based EHR
Terne Sasha Thorn Jakobsen, Enric Cristòbal-Cóppulo, Simon Rasmussen et al. medRxiv, 2025. Cites: paper

Hyperbolic vision language representation learning on chest radiology images
Zuojing Zhang, Zhi Qiao, Linbin Han et al. Health Information Science and Systems, 2025. Cites: paper

UniBrain: Universal Brain MRI diagnosis with hierarchical knowledge-enhanced pre-training
Jiayu Lei, Lisong Dai, Haoyun Jiang et al. Computerized Medical Imaging and Graphics, 2025. Cites: paper

MOSMOS: Multi-organ segmentation facilitated by medical report supervision
Weiwei Tian, Xinyu Huang, Junlin Hou et al. Biomedical Signal Processing and Control, 2025. Cites: paper

From Image to Insight: Transformer-Based Multimodal Feature Fusion for Enhanced Chest X-Ray Report Generation
Jayashree Das, Partha Garai. International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC), 2025. Cites: paper

Integrating language into medical visual recognition and reasoning: A survey
Yinbin Lu, Alan Wang. Medical Image Analysis, 2025. Cites: paper

TempA-VLP: Temporal-Aware Vision-Language Pretraining for Longitudinal Exploration in Chest X-Ray Image
Zhuoyi Yang, Liyue Shen. IEEE Winter Conference on Applications of Computer Vision, 2025. Cites: paper

A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis
Fenglin Liu, Li Zheng, Qingyu Yin et al. npj Digital Medicine, 2025. Cites: paper

Bilateral network with text guided aggregation architecture for lung infection image segmentation
Xiang Pan, Huiying Mei, Jianwei Zheng et al. Biomedical Physics & Engineering Express, 2025. Cites: paper

Enhancing Medical Vision-Language Contrastive Learning via Inter-Matching Relation Modeling
Mingjian Li, Mingyuan Meng, MICHAEL J. FULHAM et al. IEEE Transactions on Medical Imaging, 2025. Cites: paper

Large Language Model for Medical Images: A Survey of Taxonomy, Systematic Review, and Future Trends
Peng Wang, Wenpeng Lü, Chun-Lin Lu et al. Big Data Mining and Analytics, 2025. Cites: paper

Aligning, Autoencoding and Prompting Large Language Models for Novel Disease Reporting
Fenglin Liu, Xian Wu, Jinfa Huang et al. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025. Cites: paper

Full fine-tuning strategy for endoscopic foundation models with expanded learnable offset parameters
Minghan Dong, Xiangwei Zheng, Xia Zhang et al. Biomedical Physics & Engineering Express, 2025. Cites: paper

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