Author

Zihan Nie

2 papers indexed here

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Jul 2026

ReMoE: Report-Guided Mixture-of-Experts for Multimodal OCT/OCTA Anomaly Detection

Report-Guided Mixture-of-Experts (ReMoE) is proposed, which distills normal report semantics into an image-to-text prior student, builds modality-aware priors, and uses Report-Guided Modality Modulation (RMM) to modulate features through mixture-of-experts routing.

Zi-Han Nie, Qin-Cheng Qiao, Muhao Xu et al. · arXiv.org · 0 citations

Jul 2026

Can Multimodal Large Language Models Understand OCT?

OCT-Bench enables comprehensive and fine-grained evaluation of MLLMs, providing a foundation for identifying capability bottlenecks and advancing clinically grounded OCT understanding.

Baochen Fu, Wenzhi Deng, Baihao Jin et al. · arXiv.org · 3 citations