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Bo-Xiao Yu

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Preprint Aug 2026

VLM- and LLM-Driven Multi-Agent System for PET Image Denoising

Positron emission tomography (PET) imaging suffers from limited spatial resolution and low signal-to-noise ratio, which can compromise quantitative accuracy and lesion detectability. Deep learning-based denoising methods have demonstrated strong potential for improving PET image quality. However, their practical deploy...

Bo-Xiao Yu, Savas Ozdemir, Y. Xing et al. · 0 citations
#artificial intelligence Preprint Sep 2026

A Unified Vision-Language Model for PSMA PET/CT Report Generation, Visual Question Answering, and Lesion Segmentation

The model outperformed PET2REP and a CT-based baseline across standard report-generation metrics, improved performance across VQA question types, and achieved higher Dice and lesion-level overlap F1 than SegAnyPET and nnUNet.

Y. Xing, Jiong Wu, Savas Ozdemir et al. · 0 citations

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