Author

Caiwen Jiang

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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. · npj Digital Medicine · 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