Publications citing Medical-Diff-VQA: A Large-Scale Medical Dataset for Difference Visual Question Answering on Chest X-Ray Images v1.0.1

Blank-Image Ablations Can Mislead: A Mismatched-Image Control for Visual-Requirement Audits in Medical-VQA—Evidence from ERA-TurkMed, A Turkish Generative System
Esra Balık, Mehmet Kaya. Journal of Imaging Informatics in Medicine, 2026. Cites: paper

A Bimodal Artificial Intelligence Model for Diagnosis and Risk Stratification of Generalized Pustular Psoriasis
Haimeng Wang, Jing Zhang, Tao Cui et al. Dermatology Practical & Conceptual, 2026. Cites: paper

Time-Grounded Clinical Prediction from Longitudinal Multimodal Patient Histories
Wanqi Yang, Chen Ling, Jianpeng Zhang et al. Lecture notes in computer science, 2026. Cites: paper

A survey of deep learning in image processing: developments, applications and challenges
Zhan Xiong, Xiaoqin Tang, Fons J. Verbeek. Artificial Intelligence Review, 2026. Cites: paper

Difference Visual Question Answering in Medical Imaging Based on Multimodal Large Models and Enhanced by Prior Region-level Difference Descriptions
Bokai Yang, Haorong Li, Yirong Qin et al. Information Technology And Control, 2026. Cites: dataset, paper

A knowledge enhanced framework for interpretable medical visual question and answering via large foundation model
Xinyan Deng, Yinxin Xu, Xiaorou Zheng et al. Multimedia Systems, 2026. Cites: paper

D2MNet: Difference-Aware Decoupling and Multi-Prompt Learning for Medical Difference Visual Question Answering
Lingge Lai, Weihua Ou, Jianping Gou et al. Journal of Imaging, 2026. Cites: paper

LUMEN: Longitudinal Multi-Modal Radiology Model for Prognosis and Diagnosis
Zhifan Jiang, Dong Yang, Vishwesh Nath et al. IEEE International Symposium on Biomedical Imaging (ISBI), 2026. Cites: paper

Anomaly-aware mutual promotion network for medical visual question answering
Jiong Teng, Li Xi, FEIHONG LUO et al. Knowledge-Based Systems, 2026. Cites: paper

DoKE: Domain knowledge–enhanced multimodal large language model–based framework for chest X–ray follow–up medical visual question answering
Zhichuan Wang, Qiao Deng, Tiffany Y. So et al. Biomedical Signal Processing and Control, 2026. Cites: paper

IKIA: Image-Knowledge Internalization Assistance Model for Medical Visual Question Answering
Yurun Bi, Xingang Wang, Yuteng Xiao et al. International Journal of Machine Learning and Cybernetics, 2026. Cites: paper

DAMON: Difference-Aware Medical Visual Question Answering via Multimodal Large Language Model
Zefan Zhang, Yanhui Li, Ruihong Zhao et al. IEEE Journal of Biomedical and Health Informatics, 2026. Cites: paper

Proximity-Constrained Counterfactual Decoding for Hallucination-Robust Medical VQA
Dwarikanath Mahapatra, Abhijit Das, Manish Pandey et al. Lecture notes in computer science, 2026. Cites: paper

Anatomy-Aware Adaptation of Pre-Trained Models for Medical Difference Visual Question Answering
Qian Zhou, Yuhan GAO, Hua Zou et al. IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2025. Cites: paper

CheXPO: Preference Optimization for Chest X-ray VLMs with Counterfactual Rationale
Liang Xiao, Jiawei Hu, Di Wang et al. ACM International Conference on Multimedia (ACM MM), 2025. Cites: paper

GEMeX-RMCoT: An Enhanced Med-VQA Dataset for Region-Aware Multimodal Chain-of-Thought Reasoning
Bo Liu, Xiangyu Zhao, Along He et al. ACM International Conference on Multimedia (ACM MM), 2025. Cites: paper

TAB: Transformer Attention Bottlenecks Enable User Intervention and Debugging in Vision-Language Models
Pooyan Rahmanzadehgervi, Hung Huy Nguyen, Rosanne Liu et al. IEEE/CVF International Conference on Computer Vision (ICCV), 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

Kvasir-VQA-x1:A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy
Sushant Gautam, Michael Alexander Riegler, Pål Halvorsen. 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: paper

Medical multimodal large language models: A systematic review
Yuan Hu, Chenhan Xu, Lin Bo et al. Intelligent Oncology, 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

Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering
Zehui Liao, Shishuai Hu, Ke Zou et al. Lecture notes in computer science, 2025. Cites: paper

Towards generalist foundation model for radiology by leveraging web-scale 2D&3D medical data
Chaoyi Wu, Xiaoman Zhang, Ya Zhang et al. Nature Communications, 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

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

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

Disease probability-enhanced follow-up chest X-ray radiology report summary generation
Zhichuan Wang, Qiao Deng, Tiffany Y. So et al. Scientific Reports, 2025. Cites: paper

MedVH: Toward Systematic Evaluation of Hallucination for Large Vision Language Models in the Medical Context
Zishan Gu, Jiayuan Chen, Fenglin Liu et al. Advanced Intelligent Systems, 2025. Cites: paper

Decoupled Representation Learning for Difference Medical Report Generation
Chen Yang, Xiaoqing Guo, Yixuan Yuan. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2025. Cites: paper

Knowledge fusion in deep learning-based medical vision-language models: A review
Dexuan Xu, Yanyuan Chen, Zhongyan Chai et al. Information Fusion, 2025. Cites: paper

Explainable medical visual question answering via chain of evidence
Chen Qiu, Ke Huang, Zhiqiang Xie et al. Knowledge-Based Systems, 2025. Cites: paper

MedBLIP: A multimodal method of medical question-answering based on fine-tuning large language model
Lejun Gong, Jiaming Yang, Shengyuan Han et al. Computerized Medical Imaging and Graphics, 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

Harnessing the potential of multimodal EHR data: A comprehensive survey of clinical predictive modeling for intelligent healthcare
Jialun Wu, Kai He, Rui Mao et al. Information Fusion, 2025. Cites: paper

Seek Inner: LLM-Enhanced Information Mining for Medical Visual Question Answering
Ao Ma, Zhiyuan Li, Zhuonan Liang et al. International World Wide Web Conference (WWW), 2025. Cites: paper

Challenges for Responsible AI Design and Workflow Integration in Healthcare: A Case Study of Automatic Feeding Tube Qualification in Radiology
Anja Thieme, Abhijith Mohan Rajamohan, Benjamin Cooper et al. ACM Transactions on Computer-Human Interaction, 2025. Cites: dataset

Cross-Modal Knowledge Diffusion-Based Generation for Difference-Aware Medical VQA
Qika Lin, Kai He, Yifan Zhu et al. IEEE Transactions on Image Processing, 2025. Cites: paper

Medical Knowledge-Based Differential Image Visual Question Answering
Fangpeng Lu, Songyan Liu, Wenbin Lu et al. IEEE Access, 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

Has multimodal learning delivered universal intelligence in healthcare? A comprehensive survey
Qika Lin, Yifan Zhu, Xin Mei et al. Information Fusion, 2024. Cites: paper

Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: A data-driven approach for improved classification
Ricardo Bigolin Lanfredi, Pritam Mukherjee, Ronald M. Summers. Medical Image Analysis, 2024. Cites: paper

D-Rax: Domain-Specific Radiologic Assistant Leveraging Multi-modal Data and eXpert Model Predictions
Hareem Nisar, Syed Muhammad Anwar, Zhifan Jiang et al. Lecture notes in computer science, 2024. Cites: paper

A generalist vision–language foundation model for diverse biomedical tasks
Kai Zhang, Rong Zhou, Eashan Adhikarla et al. Nature Medicine, 2024. Cites: paper

Interpretable medical image Visual Question Answering via multi-modal relationship graph learning
Xinyue Hu, Lin Gu, Kazuma Kobayashi et al. Medical Image Analysis, 2024. Cites: paper

Expert Insight-Enhanced Follow-Up Chest X-ray Summary Generation
Zhichuan Wang, Kinhei Lee, Qiao Deng et al. Lecture notes in computer science, 2024. Cites: paper

Leveraging Coarse-to-Fine Grained Representations in Contrastive Learning for Differential Medical Visual Question Answering
Liang Xiao, Yin Wang, Di Wang et al. Lecture notes in computer science, 2024. Cites: paper

Region-Specific Retrieval Augmentation for Longitudinal Visual Question Answering: A Mix-and-Match Paradigm
Ka-Wai Yung, Jayaram Sivaraj, Danail V. Stoyanov et al. Lecture notes in computer science, 2024. Cites: paper

Spot the Difference: Difference Visual Question Answering with Residual Alignment
Zilin Lu, Yutong Xie, Qingjie Zeng et al. Lecture notes in computer science, 2024. Cites: paper

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