浏览/检索结果:共2条，第1-2条

已选(0)清除条数/页：排序方式：
	Grouped Spherical Data Modeling Through Hierarchical Nonparametric Bayesian Models and Its Application to fMRI Data Analysis 期刊论文 IEEE Transactions on Neural Networks and Learning Systems,2024, 卷号: 35, 期号: 4, 页码: 5566-5576 作者: Fan, Wentao; Yang, Lin; Bouguila, Nizar 收藏 \| 浏览/下载：19/0 \| 提交时间：2024/05/07 Functional magnetic resonance imaging (fMRI) data analysis hierarchical nonparametric Bayesian model hierarchical Pitman-Yor (HPY) process spherical data variational Bayes (VB) von Mises-Fisher (VMF)
	Machine learning radiomics of magnetic resonance imaging predicts recurrence-free survival after surgery and correlation of LncRNAs in patients with breast cancer: a multicenter cohort study 期刊论文 Breast Cancer Research,2023, 卷号: 25, 期号: 1 作者: Yu, Yunfang; Ren, Wei; He, Zifan; Chen, Yongjian; Tan, Yujie 收藏 \| 浏览/下载：21/0 \| 提交时间：2024/01/22 Breast cancer Long non-coding RNAs Machine learning Magnetic resonance imaging Radiomics Recurrence-free survival Treatment decisions