| Identification of MCI individuals using structural and functional connectivity networks CY Wee, PT Yap, D Zhang, K Denny, JN Browndyke, GG Potter, ... Neuroimage 59 (3), 2045-2056, 2012 | 429 | 2012 |
| State-space model with deep learning for functional dynamics estimation in resting-state fMRI HI Suk, CY Wee, SW Lee, D Shen NeuroImage 129, 292-307, 2016 | 324 | 2016 |
| Prediction of Alzheimer's disease and mild cognitive impairment using cortical morphological patterns CY Wee, PT Yap, D Shen, Alzheimer's Disease Neuroimaging Initiative Human brain mapping 34 (12), 3411-3425, 2013 | 259 | 2013 |
| Inter-modality relationship constrained multi-modality multi-task feature selection for Alzheimer's Disease and mild cognitive impairment identification F Liu, CY Wee, H Chen, D Shen NeuroImage 84, 466-475, 2014 | 247 | 2014 |
| Enriched white matter connectivity networks for accurate identification of MCI patients CY Wee, PT Yap, W Li, K Denny, JN Browndyke, GG Potter, ... Neuroimage 54 (3), 1812-1822, 2011 | 238 | 2011 |
| High‐order resting‐state functional connectivity network for MCI classification X Chen, H Zhang, Y Gao, CY Wee, G Li, D Shen, ... Human brain mapping 37 (9), 3282-3296, 2016 | 227 | 2016 |
| A brief review on multi-task learning KH Thung, CY Wee Multimedia Tools and Applications 77 (22), 29705-29725, 2018 | 208 | 2018 |
| On the computational aspects of Zernike moments CY Wee, R Paramesran Image and Vision Computing 25 (6), 967-980, 2007 | 186 | 2007 |
| Sparse temporally dynamic resting-state functional connectivity networks for early MCI identification CY Wee, S Yang, PT Yap, D Shen, ... Brain imaging and behavior 10, 342-356, 2016 | 178 | 2016 |
| Group-constrained sparse fMRI connectivity modeling for mild cognitive impairment identification CY Wee, PT Yap, D Zhang, L Wang, D Shen Brain Structure and Function 219, 641-656, 2014 | 176 | 2014 |
| Evaluation of machine learning algorithms for treatment outcome prediction in patients with epilepsy based on structural connectome data BC Munsell, CY Wee, SS Keller, B Weber, C Elger, LAT da Silva, ... Neuroimage 118, 219-230, 2015 | 170 | 2015 |
| DICCCOL: dense individualized and common connectivity-based cortical landmarks D Zhu, K Li, L Guo, X Jiang, T Zhang, D Zhang, H Chen, F Deng, C Faraco, ... Cerebral cortex 23 (4), 786-800, 2013 | 169 | 2013 |
| 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 | 159 | 2013 |
| Resting-state multi-spectrum functional connectivity networks for identification of MCI patients CY Wee, PT Yap, K Denny, JN Browndyke, GG Potter, KA Welsh-Bohmer, ... PloS one 7 (5), e37828, 2012 | 147 | 2012 |
| 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 | 136 | 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 | 135 | 2016 |
| Cortical graph neural network for AD and MCI diagnosis and transfer learning across populations CY Wee, C Liu, A Lee, JS Poh, H Ji, A Qiu, ... NeuroImage: Clinical 23, 101929, 2019 | 114 | 2019 |
| Joint feature-sample selection and robust diagnosis of Parkinson's disease from MRI data E Adeli, F Shi, L An, CY Wee, G Wu, T Wang, D Shen NeuroImage 141, 206-219, 2016 | 114 | 2016 |
| Disrupted brain functional network in internet addiction disorder: a resting-state functional magnetic resonance imaging study CY Wee, Z Zhao, PT Yap, G Wu, F Shi, T Price, Y Du, J Xu, Y Zhou, ... PloS one 9 (9), e107306, 2014 | 109 | 2014 |
| Identification of infants at high‐risk for autism spectrum disorder using multiparameter multiscale white matter connectivity networks Y Jin, CY Wee, F Shi, KH Thung, D Ni, PT Yap, D Shen Human brain mapping 36 (12), 4880-4896, 2015 | 106 | 2015 |
