| Computational neuroanatomy of baby brains: A review G Li, L Wang, PT Yap, F Wang, Z Wu, Y Meng, P Dong, J Kim, F Shi, ... NeuroImage 185, 906-925, 2019 | 154 | 2019 |
| Spatial distribution and longitudinal development of deep cortical sulcal landmarks in infants Y Meng, G Li, W Lin, JH Gilmore, D Shen Neuroimage 100, 206-218, 2014 | 116 | 2014 |
| Developmental topography of cortical thickness during infancy F Wang, C Lian, Z Wu, H Zhang, T Li, Y Meng, L Wang, W Lin, D Shen, ... Proceedings of the National Academy of Sciences 116 (32), 15855-15860, 2019 | 110 | 2019 |
| Polyline approach for approximating Hausdorff distance between planar free-form curves YB Bai, JH Yong, CY Liu, XM Liu, Y Meng Computer-Aided Design 43 (6), 687-698, 2011 | 49 | 2011 |
| Exploring folding patterns of infant cerebral cortex based on multi-view curvature features: Methods and applications D Duan, S Xia, I Rekik, Y Meng, Z Wu, L Wang, W Lin, JH Gilmore, ... NeuroImage 185, 575-592, 2019 | 30 | 2019 |
| Multi-task prediction of infant cognitive scores from longitudinal incomplete neuroimaging data E Adeli, Y Meng, G Li, W Lin, D Shen NeuroImage 185, 783-792, 2019 | 30 | 2019 |
| Registration of point clouds using sample-sphere and adaptive distance restriction Y Meng, H Zhang The Visual Computer 27, 543-553, 2011 | 23 | 2011 |
| Anatomy‐guided joint tissue segmentation and topological correction for 6‐month infant brain MRI with risk of autism L Wang, G Li, E Adeli, M Liu, Z Wu, Y Meng, W Lin, D Shen Human brain mapping 39 (6), 2609-2623, 2018 | 21 | 2018 |
| Clutter-aware label layout Y Meng, H Zhang, M Liu, S Liu 2015 IEEE Pacific visualization symposium (PacificVis), 207-214, 2015 | 21 | 2015 |
| Discovering cortical sulcal folding patterns in neonates using large‐scale dataset Y Meng, G Li, L Wang, W Lin, JH Gilmore, D Shen Human brain mapping 39 (9), 3625-3635, 2018 | 19 | 2018 |
| Learning-based topological correction for infant cortical surfaces S Hao, G Li, L Wang, Y Meng, D Shen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 18 | 2016 |
| Can we predict subject‐specific dynamic cortical thickness maps during infancy from birth? Y Meng, G Li, I Rekik, H Zhang, Y Gao, W Lin, D Shen Human brain mapping 38 (6), 2865-2874, 2017 | 17 | 2017 |
| Learning‐based subject‐specific estimation of dynamic maps of cortical morphology at missing time points in longitudinal infant studies Y Meng, G Li, Y Gao, W Lin, D Shen Human brain mapping 37 (11), 4129-4147, 2016 | 17 | 2016 |
| 4D infant cortical surface atlas construction using spherical patch-based sparse representation Z Wu, G Li, Y Meng, L Wang, W Lin, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 15 | 2017 |
| Discovering cortical folding patterns in neonatal cortical surfaces using large-scale dataset Y Meng, G Li, L Wang, W Lin, JH Gilmore, D Shen Medical Image Computing and Computer-Assisted Intervention–MICCAI 2016: 19th …, 2016 | 9 | 2016 |
| Exploring gyral patterns of infant cortical folding based on multi-view curvature information D Duan, S Xia, Y Meng, L Wang, W Lin, JH Gilmore, D Shen, G Li Medical Image Computing and Computer Assisted Intervention− MICCAI 2017 …, 2017 | 8 | 2017 |
| Automatic parcellation of cortical surfaces using random forests Y Meng, G Li, Y Gao, D Shen 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 810-813, 2015 | 6 | 2015 |
| Joint sparse and low-rank regularized multi-task multi-linear regression for prediction of infant brain development with incomplete data E Adeli, Y Meng, G Li, W Lin, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2017 | 5 | 2017 |
| A computational method for longitudinal mapping of orientation-specific expansion of cortical surface in infants J Xia, F Wang, Y Meng, Z Wu, L Wang, W Lin, C Zhang, D Shen, G Li Medical image analysis 49, 46-59, 2018 | 3 | 2018 |
| Functional and Structural Developments of Medial Frontal Subdivisions in First 2 Years of Life H Zhang, W Yin, Y Meng, W Lin, D Shen OHBM, 2017 | 2 | 2017 |
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging Intelligence在 shanghaitech.edu.cn 的电子邮件经过验证
