Author

Han-Di Zhu

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Conference Open access Aug 2026

DisenTextSeg: Disentangling Textual Information from Clinical Reports for Multi-Modal Medical Image Segmentation

Accurate segmentation of multi-modal magnetic resonance imaging (MRI) is central to clinical diagnosis, treatment planning, and prognostic evaluation of tumors. Existing methods predominantly rely on imaging data alone, neglecting the rich semantic information embedded in clinical reports. Although recent vision-langua...

Ding-Jie Suo, Han-Di Zhu, Tian-Tian Liu et al. · Journal of Physics, Conferen... · 0 citations

#artificial intelligence Preprint Sep 2026

CAMFT: Conflict-Aware Mergeable Fine-Tuning for Large Language Models

Model merging has emerged as a promising paradigm for integrating multiple task-specific capabilities into a single large language model. However, existing methods predominantly focus on post-hoc processing of independently fine-tuned models, overlooking how the training phase itself impacts cross-task compatibility. R...

Jin-Gang Zhou, Hai-Yang Guo, Yuan-Pei Ma et al. · 1 citation