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	Grouped Spherical Data Modeling Through Hierarchical Nonparametric Bayesian Models and Its Application to fMRI Data Analysis Journal article IEEE Transactions on Neural Networks and Learning Systems,2024, volume: 35, issue: 4, pages: 5566-5576 Authors: Fan, Wentao; Yang, Lin; Bouguila, Nizar Favorite \| View/Download：6/0 \| Submit date：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 Journal article Breast Cancer Research,2023, volume: 25, issue: 1 Authors: Yu, Yunfang; Ren, Wei; He, Zifan; Chen, Yongjian; Tan, Yujie Favorite \| View/Download：6/0 \| Submit date：2024/01/22 Breast cancer Long non-coding RNAs Machine learning Magnetic resonance imaging Radiomics Recurrence-free survival Treatment decisions