| “Multi-Layer Connectome” for Robust Multi-Subject Brain Network Analysis and its Application to Baby Connectome Development Study H Zhang, W Lin, D Shen | | |
| 3 Tesla magnetic resonance imaging of the brain in newborns JH Gilmore, G Zhai, K Wilber, JK Smith, W Lin, G Gerig Psychiatry Research: Neuroimaging 132 (1), 81-85, 2004 | 77 | 2004 |
| 3-D fully convolutional networks for multimodal isointense infant brain image segmentation D Nie, L Wang, E Adeli, C Lao, W Lin, D Shen IEEE transactions on cybernetics 49 (3), 1123-1136, 2018 | 186 | 2018 |
| 3D auto-context-based locality adaptive multi-modality GANs for PET synthesis Y Wang, L Zhou, B Yu, L Wang, C Zu, DS Lalush, W Lin, X Wu, J Zhou, ... IEEE transactions on medical imaging 38 (6), 1328-1339, 2018 | 182 | 2018 |
| 3D conditional generative adversarial networks for high-quality PET image estimation at low dose Y Wang, B Yu, L Wang, C Zu, DS Lalush, W Lin, X Wu, J Zhou, D Shen, ... Neuroimage 174, 550-562, 2018 | 410 | 2018 |
| 4 Diffusion Weighted Imaging and Diffusion Tensor Imaging of the Brain during Early Brain Development: The First Two Years of Life W Gao, JH Gilmore, W Lin Diffusion Weighted and Diffusion Tensor Imaging: A Clinical Guide, 50, 2015 | | 2015 |
| 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 |
| 4D multi-modality tissue segmentation of serial infant images L Wang, F Shi, PT Yap, JH Gilmore, W Lin, D Shen Public Library of Science 7 (9), e44596, 2012 | 77 | 2012 |
| 50-Fold Acceleration of Diffusion MRI via Slice-Interleaved Diffusion Encoding (SIDE) Y Hong, WT Chang, G Chen, Y Wu, W Lin, D Shen, PT Yap | | |
| 53. DTI with quantitative tractography as a marker of disease progression in newborns with Krabbe disease ML Escolar, MD Poe, K Smith, W Lin, J Kurtzberg, M Styner Molecular Genetics and Metabolism 2 (96), S23-S24, 2009 | | 2009 |
| 6-month infant brain MRI segmentation guided by 24-month data using cycle-consistent adversarial networks TD Bui, L Wang, W Lin, G Li, D Shen 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), 359-362, 2020 | 6 | 2020 |
| A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort L Chen, Z Wu, D Hu, Y Wang, F Zhao, T Zhong, W Lin, L Wang, G Li Neuroimage 253, 119097, 2022 | 23 | 2022 |
| A close variant was published American Journal of Neuroradiology 27: 612-619, 2006. E Bullitt, PA Wolthusen, L Brubaker, W Lin, D Zeng, T Van Dyke | | |
| A computational framework for dissociating development-related from individually variable flexibility in regional modularity assignment in early infancy M Soussia, X Wen, Z Zhou, B Jin, TE Kam, LM Hsu, Z Wu, G Li, L Wang, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 5 | 2020 |
| A computational growth model for measuring dynamic cortical development in the first year of life J Nie, G Li, L Wang, JH Gilmore, W Lin, D Shen Cerebral cortex 22 (10), 2272-2284, 2012 | 52 | 2012 |
| A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants J Xia, C Zhang, F Wang, Y Meng, Z Wu, L Wang, W Lin, D Shen, G Li 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 1 | 2018 |
| 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 |
| A critical proton MR spectroscopy marker of Alzheimer’s disease early neurodegenerative change: low hippocampal NAA/Cr ratio impacts APOE ɛ4 Mexico City children and their parents L Calderón-Garcidueñas, A Mora-Tiscareno, G Melo-Sanchez, ... Journal of Alzheimer's Disease 48 (4), 1065-1075, 2015 | 54 | 2015 |
| A current perspective of the status of understanding BOLD imaging and its use in studying brain function: a summary of the workshop at the University of North Carolina in … EM Haacke, W Lin, X Hu, K Thulborn NMR in Biomedicine 14 (7-8), 384-388, 2001 | 12 | 2001 |
| A deep learning framework for noise component detection from resting-state functional MRI TE Kam, X Wen, B Jin, Z Jiao, LM Hsu, Z Zhou, Y Liu, K Yamashita, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 20 | 2019 |
