| Convolutional neural network with element-wise filters to extract hierarchical topological features for brain networks X Xing, J Ji, Y Yao 2018 IEEE international conference on bioinformatics and biomedicine (BIBM …, 2018 | 50 | 2018 |
| Convolutional kernels with an element-wise weighting mechanism for identifying abnormal brain connectivity patterns J Ji, X Xing, Y Yao, J Li, X Zhang Pattern Recognition 109, 107570, 2021 | 27 | 2021 |
| Convolutional neural network with graphical lasso to extract sparse topological features for brain disease classification J Ji, Y Yao IEEE/ACM transactions on computational biology and bioinformatics 18 (6 …, 2020 | 12 | 2020 |
| A novel CNN framework to extract multi-level modular features for the classification of brain networks J Ji, Y Yao Applied Intelligence, 1-18, 2022 | 5 | 2022 |
| Brain networks classification based on an adaptive multi-task convolutional neural networks X Xinying, J Junzhong, Y Yao J. Comput. Res. Dev 57, 1449-1459, 2020 | 5 | 2020 |
| Insula functional parcellation from fmri data via improved artificial bee-colony clustering X Zhao, J Ji, Y Yao Brain Informatics: International Conference, BI 2017, Beijing, China …, 2017 | 1 | 2017 |
| Estimation of hemodynamic states based on stacked recurrent neural network in fMRI time series Y Yao, J Jun-Zhong Acta Automatica Sinica 46 (5), 991-1003, 2020 | | 2020 |
