no code implementations • 19 Nov 2022 • Zhixiang Zhang, Biao Jie, Zhengdong Wang, Jie zhou, Yang Yang
Recent studies have applied deep learning methods such as convolutional recurrent neural networks (CRNs) and Transformers to brain disease classification based on dynamic functional connectivity networks (dFCNs), such as Alzheimer's disease (AD), achieving better performance than traditional machine learning methods.
no code implementations • 18 Aug 2020 • Kai Ma, Biao Jie, Daoqiang Zhang
Kernel-based method, such as graph kernel (i. e., kernel defined on graphs), has been proposed for measuring the similarity of brain networks, and yields the promising classification performance.