Multiparametric MRI along with machine learning predicts prognosis and treatment response in pediatric low-grade glioma
多参数磁共振成像结合机器学习预测儿童低级别胶质瘤的预后和治疗反应
期刊:Nature Communications
影响因子:15.7
doi:10.1038/s41467-024-55659-z
Fathi Kazerooni, Anahita; Kraya, Adam; Rathi, Komal S; Kim, Meen Chul; Vossough, Arastoo; Khalili, Nastaran; Familiar, Ariana M; Gandhi, Deep; Khalili, Neda; Kesherwani, Varun; Haldar, Debanjan; Anderson, Hannah; Jin, Run; Mahtabfar, Aria; Bagheri, Sina; Guo, Yiran; Li, Qi; Huang, Xiaoyan; Zhu, Yuankun; Sickler, Alex; Lueder, Matthew R; Phul, Saksham; Koptyra, Mateusz; Storm, Phillip B; Ware, Jeffrey B; Song, Yuanquan; Davatzikos, Christos; Foster, Jessica B; Mueller, Sabine; Fisher, Michael J; Resnick, Adam C; Nabavizadeh, Ali
