| 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 | 161 | 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 | 157 | 2015 |
| 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 | 142 | 2018 |
| Hyper-connectivity of functional networks for brain disease diagnosis B Jie, CY Wee, D Shen, D Zhang Medical image analysis 32, 84-100, 2016 | 138 | 2016 |
| 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 | 138 | 2014 |
| 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, 1148-1159, 2016 | 101 | 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 | 86 | 2018 |
| 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 | 78 | 2019 |
| 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 | 76 | 2016 |
| 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 | 64 | 2016 |
| Manifold regularized multi-task feature selection for multi-modality classification in Alzheimer’s disease B Jie, D Zhang, B Cheng, D Shen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2013: 16th …, 2013 | 55 | 2013 |
| Designing weighted correlation kernels in convolutional neural networks for functional connectivity based brain disease diagnosis B Jie, M Liu, C Lian, F Shi, D Shen Medical image analysis 63, 101709, 2020 | 51 | 2020 |
| 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, 739-749, 2016 | 50 | 2016 |
| 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 | 47 | 2018 |
| Local keypoint-based Faster R-CNN X Ding, Q Li, Y Cheng, J Wang, W Bian, B Jie Applied Intelligence 50, 3007-3022, 2020 | 42 | 2020 |
| Frequent and discriminative subnetwork mining for mild cognitive impairment classification F Fei, B Jie, D Zhang Brain connectivity 4 (5), 347-360, 2014 | 40 | 2014 |
| Brain connectivity hyper-network for MCI classification B Jie, D Shen, D Zhang Medical Image Computing and Computer-Assisted Intervention–MICCAI 2014: 17th …, 2014 | 39 | 2014 |
| Sparse multivariate autoregressive modeling for mild cognitive impairment classification Y Li, CY Wee, B Jie, Z Peng, D Shen Neuroinformatics 12, 455-469, 2014 | 38 | 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 | 34 | 2014 |
| A secure biometrics and PUFs-based authentication scheme with key agreement for multi-server environments J Zhao, W Bian, D Xu, B Jie, X Ding, W Zhou, H Zhang Ieee Access 8, 45292-45303, 2020 | 31 | 2020 |
