Biao Jie
Biao Jie
Anhui Normal University
Verified email at nuaa.edu.cn
Title
Cited by
Cited by
Year
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
1172013
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
1002015
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
862014
Hyper-connectivity of functional networks for brain disease diagnosis
B Jie, CY Wee, D Shen, D Zhang
Medical image analysis 32, 84-100, 2016
692016
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
582016
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
442018
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
442013
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
402016
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
332018
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
312016
Brain connectivity hyper-network for MCI classification
B Jie, D Shen, D Zhang
International conference on medical image computing and computer-assisted …, 2014
312014
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
292014
Frequent and discriminative subnetwork mining for mild cognitive impairment classification
F Fei, B Jie, D Zhang
Brain connectivity 4 (5), 347-360, 2014
292014
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
242014
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
232016
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
202019
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
182018
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
132019
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
122013
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
112014
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