| Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge L Wang, D Nie, G Li, É Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ... IEEE transactions on medical imaging 38 (9), 2219-2230, 2019 | 205 | 2019 |
| 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 | 172 | 2019 |
| 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 | 122 | 2019 |
| Volume-based analysis of 6-month-old infant brain MRI for autism biomarker identification and early diagnosis L Wang, G Li, F Shi, X Cao, C Lian, D Nie, M Liu, H Zhang, G Li, Z Wu, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 94 | 2018 |
| Multi-site infant brain segmentation algorithms: the iSeg-2019 challenge Y Sun, K Gao, Z Wu, G Li, X Zong, Z Lei, Y Wei, J Ma, X Yang, X Feng, ... IEEE Transactions on Medical Imaging 40 (5), 1363-1376, 2021 | 92 | 2021 |
| Spherical U-Net on cortical surfaces: methods and applications F Zhao, S Xia, Z Wu, D Duan, L Wang, W Lin, JH Gilmore, D Shen, G Li Information Processing in Medical Imaging: 26th International Conference …, 2019 | 77 | 2019 |
| iBEAT V2. 0: a multisite-applicable, deep learning-based pipeline for infant cerebral cortical surface reconstruction L Wang, Z Wu, L Chen, Y Sun, W Lin, G Li Nature protocols 18 (5), 1488-1509, 2023 | 71 | 2023 |
| Harmonization of infant cortical thickness using surface-to-surface cycle-consistent adversarial networks F Zhao, Z Wu, L Wang, W Lin, S Xia, D Shen, G Li, ... International conference on medical image computing and computer-assisted …, 2019 | 61 | 2019 |
| Disentangled-multimodal adversarial autoencoder: Application to infant age prediction with incomplete multimodal neuroimages D Hu, H Zhang, Z Wu, F Wang, L Wang, JK Smith, W Lin, G Li, D Shen IEEE Transactions on Medical Imaging 39 (12), 4137-4149, 2020 | 55 | 2020 |
| Spherical deformable u-net: Application to cortical surface parcellation and development prediction F Zhao, Z Wu, L Wang, W Lin, JH Gilmore, S Xia, D Shen, G Li IEEE transactions on medical imaging 40 (4), 1217-1228, 2021 | 54 | 2021 |
| Brain connectivity based graph convolutional networks and its application to infant age prediction Y Li, X Zhang, J Nie, G Zhang, R Fang, X Xu, Z Wu, D Hu, L Wang, ... IEEE transactions on medical imaging 41 (10), 2764-2776, 2022 | 44 | 2022 |
| Construction of 4D infant cortical surface atlases with sharp folding patterns via spherical patch‐based group‐wise sparse representation Z Wu, L Wang, W Lin, JH Gilmore, G Li, D Shen Human brain mapping 40 (13), 3860-3880, 2019 | 41 | 2019 |
| Robust brain ROI segmentation by deformation regression and deformable shape model Z Wu, Y Guo, SH Park, Y Gao, P Dong, SW Lee, D Shen Medical image analysis 43, 198-213, 2018 | 37 | 2018 |
| S3Reg: superfast spherical surface registration based on deep learning F Zhao, Z Wu, F Wang, W Lin, S Xia, D Shen, L Wang, G Li IEEE transactions on medical imaging 40 (8), 1964-1976, 2021 | 36 | 2021 |
| Mapping hemispheric asymmetries of the macaque cerebral cortex during early brain development J Xia, F Wang, Z Wu, L Wang, C Zhang, D Shen, G Li Human brain mapping 41 (1), 95-106, 2020 | 33 | 2020 |
| 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 | 32 | 2019 |
| Learning longitudinal classification-regression model for infant hippocampus segmentation Y Guo, Z Wu, D Shen Neurocomputing 391, 191-198, 2020 | 31 | 2020 |
| Existence of functional connectome fingerprint during infancy and its stability over months D Hu, F Wang, H Zhang, Z Wu, Z Zhou, G Li, L Wang, W Lin, G Li, ... Journal of Neuroscience 42 (3), 377-389, 2022 | 30 | 2022 |
| Registration-free infant cortical surface parcellation using deep convolutional neural networks Z Wu, G Li, L Wang, F Shi, W Lin, JH Gilmore, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2018 | 30 | 2018 |
| Correlation between hippocampus MRI radiomic features and resting-state intrahippocampal functional connectivity in Alzheimer’s disease Q Feng, M Wang, Q Song, Z Wu, H Jiang, P Pang, Z Liao, E Yu, Z Ding Frontiers in neuroscience 13, 435, 2019 | 29 | 2019 |
Gang LiAssociate Professor, Department of Radiology, University of North Carolina at Chapel HillVerified email at med.unc.edu
