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Medical Visual Question Answering

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Showing 76–97 of 97 papers

TitleStatusHype
V-Learning -- A Simple, Efficient, Decentralized Algorithm for Multiagent RL—0
WangLab at MEDIQA-M3G 2024: Multimodal Medical Answer Generation using Large Language Models—0
Which Client is Reliable?: A Reliable and Personalized Prompt-based Federated Learning for Medical Image Question Answering—0
Does CLIP Benefit Visual Question Answering in the Medical Domain as Much as it Does in the General Domain?—0
Prompt-based Personalized Federated Learning for Medical Visual Question Answering—0
Q2ATransformer: Improving Medical VQA via an Answer Querying Decoder—0
RepsNet: Combining Vision with Language for Automated Medical Reports—0
R-LLaVA: Improving Med-VQA Understanding through Visual Region of Interest—0
SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning—0
Structure Causal Models and LLMs Integration in Medical Visual Question Answering—0
TM-PATHVQA:90000+ Textless Multilingual Questions for Medical Visual Question Answering—0
Toward Effective Reinforcement Learning Fine-Tuning for Medical VQA in Vision-Language Models—0
Tri-VQA: Triangular Reasoning Medical Visual Question Answering for Multi-Attribute Analysis—0
Med-PMC: Medical Personalized Multi-modal Consultation with a Proactive Ask-First-Observe-Next ParadigmCode0
Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal EndoscopyCode0
A Dual-Attention Learning Network with Word and Sentence Embedding for Medical Visual Question AnsweringCode0
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge InjectionCode0
Kvasir-VQA: A Text-Image Pair GI Tract DatasetCode0
Targeted Visual Prompting for Medical Visual Question AnsweringCode0
ClinKD: Cross-Modal Clinical Knowledge Distiller For Multi-Task Medical ImagesCode0
Hierarchical Deep Multi-modal Network for Medical Visual Question AnsweringCode0
Hallucination Benchmark in Medical Visual Question AnsweringCode0
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