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Medical Visual Question Answering

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Showing 26–50 of 97 papers

TitleStatusHype
MC-CoT: A Modular Collaborative CoT Framework for Zero-shot Medical-VQA with LLM and MLLM IntegrationCode1
ZALM3: Zero-Shot Enhancement of Vision-Language Alignment via In-Context Information in Multi-Turn Multimodal Medical Dialogue—0
MediConfusion: Can you trust your AI radiologist? Probing the reliability of multimodal medical foundation modelsCode1
Kvasir-VQA: A Text-Image Pair GI Tract DatasetCode0
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge InjectionCode0
Med-PMC: Medical Personalized Multi-modal Consultation with a Proactive Ask-First-Observe-Next ParadigmCode0
Surgical-VQLA++: Adversarial Contrastive Learning for Calibrated Robust Visual Question-Localized Answering in Robotic SurgeryCode1
MedTrinity-25M: A Large-scale Multimodal Dataset with Multigranular Annotations for MedicineCode3
Targeted Visual Prompting for Medical Visual Question AnsweringCode0
Prompting Medical Large Vision-Language Models to Diagnose Pathologies by Visual Question Answering—0
TM-PATHVQA:90000+ Textless Multilingual Questions for Medical Visual Question Answering—0
STLLaVA-Med: Self-Training Large Language and Vision Assistant for Medical Question-AnsweringCode1
Tri-VQA: Triangular Reasoning Medical Visual Question Answering for Multi-Attribute Analysis—0
Detecting and Evaluating Medical Hallucinations in Large Vision Language Models—0
Worse than Random? An Embarrassingly Simple Probing Evaluation of Large Multimodal Models in Medical VQACode1
Efficiency in Focus: LayerNorm as a Catalyst for Fine-tuning Medical Visual Language Pre-trained Models—0
Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering—0
Grounded Knowledge-Enhanced Medical VLP for Chest X-Ray—0
WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models—0
LaPA: Latent Prompt Assist Model For Medical Visual Question AnsweringCode1
MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale—0
MedPromptX: Grounded Multimodal Prompting for Chest X-ray DiagnosisCode2
Enhancing Generalization in Medical Visual Question Answering Tasks via Gradient-Guided Model Perturbation—0
Prompt-based Personalized Federated Learning for Medical Visual Question Answering—0
OmniMedVQA: A New Large-Scale Comprehensive Evaluation Benchmark for Medical LVLMCode4
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