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Medical Visual Question Answering

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Showing 76–97 of 97 papers

TitleStatusHype
Medical visual question answering using joint self-supervised learning—0
MedOrch: Medical Diagnosis with Tool-Augmented Reasoning Agents for Flexible Extensibility—0
MedThink: Explaining Medical Visual Question Answering via Multimodal Decision-Making Rationale—0
MF2-MVQA: A Multi-stage Feature Fusion method for Medical Visual Question Answering—0
MuVAM: A Multi-View Attention-based Model for Medical Visual Question Answering—0
OVQA: A Clinically Generated Visual Question Answering Dataset—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
UIT-Saviors at MEDVQA-GI 2023: Improving Multimodal Learning with Image Enhancement for Gastrointestinal Visual Question Answering—0
UnICLAM:Contrastive Representation Learning with Adversarial Masking for Unified and Interpretable Medical Vision Question Answering—0
Vision-Amplified Semantic Entropy for Hallucination Detection in Medical Visual Question Answering—0
Visual Question Answering in the Medical Domain—0
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
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