DeepPrep: An accelerated, scalable, and robust pipeline for neuroimaging preprocessing empowered by deep learning

Jianxun Ren, Ning An, Cong Lin, Youjia Zhang, Zhenyu Sun, Wei Zhang, Shiyi Li, Ning Guo, Weigang Cui, Qingyu Hu, Weiwei Wang,Xuehai Wu,Yinyan Wang, Tao Jiang, Theodore D. Satterthwaite,Danhong Wang, Hesheng Liu

biorxiv(2024)

引用 0|浏览9
暂无评分
摘要
Neuroimaging has entered the era of big data. However, the advancement of preprocessing pipelines falls behind the rapid expansion of data volume, causing significant computational challenges. Here, we present DeepPrep, a pipeline empowered by deep learning and workflow manager. Evaluated on over 55,000 scans, DeepPrep demonstrates a 11-fold acceleration, exceptional scalability, and robustness compared to the current state-of-the-art pipeline, providing a promising solution to meet the scalability requirements of neuroimaging. ### Competing Interest Statement H.L. is the chief scientist of Neural Galaxy Inc. The remaining authors declare no conflict of interest regarding the publication of this work.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要