Author

Zhe Zhu

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Preprint Aug 2026

FAN-LoRA: A Fourier-Adaptive Nonlinear Low-Rank Adaptor for Medical Foundation Model Domain Adaptation

The advent of vision foundation models, notably the Segment Anything Model (SAM), has catalyzed significant advancements in natural image segmentation. However, their direct transfer to medical imaging remains severely bottlenecked by profound domain gaps, such as cross-modality and cross-center shifts. Existing Parame...

Zihao Liu, Zhe Zhu, Xuzi Shi · 0 citations

#artificial intelligence Preprint Sep 2026

Characterizing Text Branch Sensitivity in Medical Vision-Language Segmentation via Evidence Decoupling

Pretrained vision-language models (VLMs) have shown promising performance in medical image segmentation by incorporating clinical text. However, it remains unclear how much textual information actually contributes to pixel-level predictions. In this work, we systematically investigate the role of text in multimodal med...

Zihao Liu, Zhe Zhu, Xuzi Shi · 0 citations

#artificial intelligence Preprint Sep 2026

InstEditSeg: Instruction-Driven Image Editing for Polyp and Skin Lesion Segmentation

Accurate segmentation of polyps and skin lesions is pivotal for clinical diagnosis, yet existing methods struggle with low contrast, ambiguous boundaries, and cross-domain distribution discrepancies. Discriminative networks and most diffusion-based segmentation approaches predict standalone binary masks, leaving the vi...

Zihao Liu, Zhe Zhu, Xuzi Shi · 0 citations