Author

Ming-Wu Ren

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Preprint Aug 2026

From Reasoning to Pixels: Grounded Medical Multimodal LLMs for VQA and Segmentation

Although Multimodal Large Language Models (MLLMs) have demonstrated impressive performance in Medical Visual Question Answering (Med-VQA), their reliance on global image features often lacks precise pixel-level grounding, thereby limiting clinical trustworthiness. To bridge the semantic gap between high-level clinical...

Hao-Wen Gu, Gen-Sheng Pei, Junxiong Mao et al. · 0 citations

Preprint Aug 2026

MedFG-VQA: Low-Frequency Memory and Graph Attention for Lightweight Medical VQA

A lightweight framework that leverages a memory bank to augment DCT-based low-frequency features and employs graph-enhanced cross-attention for effective visual-textual alignment is proposed, highlighting its efficiency and potential for clinical deployment.

Hao-Wen Gu, Gen-Sheng Pei, Ze-Ren Sun et al. · 2 citations