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Caiwen Jiang

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#artificial intelligence Preprint Oct 2026

RadOnc-Agent: An LLM-Orchestrated Framework for AI Workflows Across the Radiotherapy Care Pathway

Artificial intelligence has advanced individual radiotherapy tasks, yet these capabilities remain separated across clinical stages, software environments and data modalities. This fragmentation contrasts with the longitudinal radiotherapy workflow from treatment decision-making through follow-up. Here we present RadOnc...

Cai-Wen Jiang, Shuo-Yang Wei, Song-Lin Zhao et al. · 0 citations
Open access Jul 2026

BrainSeg: a generalized framework for comprehensive multimodal brain tissue segmentation, parcellation, and lesion labeling.

This work proposes BrainSeg, a novel unified framework for CBS by using large-scale datasets spanning the entire lifespan, with adaptability to diverse uni- and multimodal input scenarios without the need for retraining or finetuning, providing flexible and reliable analysis for large-scale neuroimaging studies.

Shijie Huang, Zifeng Lian, Deng-Qiang Jia et al. · 1 citation
#machine learning Preprint Sep 2024

Mixture of Multicenter Experts in Multimodal AI for Debiased Radiotherapy Target Delineation

A Mixture of Multicenter Experts (MoME) framework to address AI bias in the medical domain without requiring data sharing across institutions is proposed and validated using a multimodal target volume delineation model for prostate cancer radiotherapy.

Yujin Oh, Sangjoon Park, Xiang Li et al. · 0 citations

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