| Integration of network topological and connectivity properties for neuroimaging classification B Jie, D Zhang, W Gao, Q Wang, CY Wee, D Shen IEEE transactions on biomedical engineering 61 (2), 576-589, 2013 | 117 | 2013 |
| Manifold regularized multitask feature learning for multimodality disease classification B Jie, D Zhang, B Cheng, D Shen, ... Human brain mapping 36 (2), 489-507, 2015 | 100 | 2015 |
| Topological graph kernel on multiple thresholded functional connectivity networks for mild cognitive impairment classification B Jie, D Zhang, CY Wee, D Shen Human brain mapping 35 (7), 2876-2897, 2014 | 86 | 2014 |
| Hyper-connectivity of functional networks for brain disease diagnosis B Jie, CY Wee, D Shen, D Zhang Medical image analysis 32, 84-100, 2016 | 69 | 2016 |
| Label-aligned multi-task feature learning for multimodal classification of Alzheimer’s disease and mild cognitive impairment C Zu, B Jie, M Liu, S Chen, D Shen, D Zhang Brain imaging and behavior 10 (4), 1148-1159, 2016 | 58 | 2016 |
| Integration of temporal and spatial properties of dynamic connectivity networks for automatic diagnosis of brain disease B Jie, M Liu, D Shen Medical image analysis 47, 81-94, 2018 | 44 | 2018 |
| Manifold regularized multi-task feature selection for multi-modality classification in Alzheimer’s disease B Jie, D Zhang, B Cheng, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2013 | 44 | 2013 |
| Temporally constrained group sparse learning for longitudinal data analysis in Alzheimer's disease B Jie, M Liu, J Liu, D Zhang, D Shen IEEE Transactions on Biomedical Engineering 64 (1), 238-249, 2016 | 40 | 2016 |
| Sub-network kernels for measuring similarity of brain connectivity networks in disease diagnosis B Jie, M Liu, D Zhang, D Shen IEEE Transactions on Image Processing 27 (5), 2340-2353, 2018 | 33 | 2018 |
| Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA J Du, L Wang, B Jie, D Zhang Computerized Medical Imaging and Graphics 52, 82-88, 2016 | 31 | 2016 |
| Brain connectivity hyper-network for MCI classification B Jie, D Shen, D Zhang International conference on medical image computing and computer-assisted …, 2014 | 31 | 2014 |
| Sparse multivariate autoregressive modeling for mild cognitive impairment classification Y Li, CY Wee, B Jie, Z Peng, D Shen Neuroinformatics 12 (3), 455-469, 2014 | 29 | 2014 |
| Frequent and discriminative subnetwork mining for mild cognitive impairment classification F Fei, B Jie, D Zhang Brain connectivity 4 (5), 347-360, 2014 | 29 | 2014 |
| Probability method for Cerenkov luminescence tomography based on conformance error minimization X Ding, K Wang, B Jie, Y Luo, Z Hu, J Tian Biomedical optics express 5 (7), 2091-2112, 2014 | 24 | 2014 |
| Discriminative multi-task feature selection for multi-modality classification of Alzheimer’s disease T Ye, C Zu, B Jie, D Shen, D Zhang Brain imaging and behavior 10 (3), 739-749, 2016 | 23 | 2016 |
| Multimodal hyper-connectivity of functional networks using functionally-weighted LASSO for MCI classification Y Li, J Liu, X Gao, B Jie, M Kim, PT Yap, CY Wee, D Shen Medical image analysis 52, 80-96, 2019 | 20 | 2019 |
| Ordinal pattern: A new descriptor for brain connectivity networks D Zhang, J Huang, B Jie, J Du, L Tu, M Liu IEEE transactions on medical imaging 37 (7), 1711-1722, 2018 | 18 | 2018 |
| Graph-kernel based structured feature selection for brain disease classification using functional connectivity networks M Wang, B Jie, W Bian, X Ding, W Zhou, Z Wang, M Liu IEEE Access 7, 35001-35011, 2019 | 13 | 2019 |
| Identification of MCI using optimal sparse MAR modeled effective connectivity networks CY Wee, Y Li, B Jie, ZW Peng, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2013 | 12 | 2013 |
| Combining multiple network features for mild cognitive impairment classification L Wang, F Fei, B Jie, D Zhang 2014 IEEE International Conference on Data Mining Workshop, 996-1003, 2014 | 11 | 2014 |
