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Qizhen Lan

2 papers indexed

arxivcs.CV2026-07-06

Displacement Preserving Relational Distillation for Robust Medical Segmentation

Zhicheng Ding, Xinyu Chu, Jung Im Choi, Qing Tian, Tianyu Shi, Xiaoqian Jiang, et al.

Accurate 3D medical segmentation is limited by anatomical variability and high computational costs. While knowledge distillation (KD) offers a route for model compression, conventional methods often fail to preserve complex structures and are overwhelmed by background noise. We p…

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arxivcs.CVcs.AI2026-06-28

ReMAP-PET: Beyond Visual Understanding -- Learning Region-Guided Metabolic Alignment Semantics from Brain PET

Dasen Dai, Yanteng Zhang, Shuoqi Li, Yuxiang Wei, Hongjie Yu, Qingxin Zhang, et al.

Positron Emission Tomography (PET) reveals brain metabolism and is clinically central to neurodegenerative disease assessment, yet existing 3D brain foundation models treat PET as generic volumetric data, missing the structured regional metabolic information that distinguishes it…

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