| 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 | 94 | 2021 |
| 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 | 73 | 2023 |
| Unified framework for early stage status prediction of autism based on infant structural magnetic resonance imaging K Gao, Y Sun, S Niu, L Wang Autism Research 14 (12), 2512-2523, 2021 | 13 | 2021 |
| Harmonized neonatal brain MR image segmentation model for cross-site datasets J Chen, Y Sun, Z Fang, W Lin, G Li, L Wang, ... Biomedical signal processing and control 69, 102810, 2021 | 10 | 2021 |
| Construction of longitudinally consistent 4d infant cerebellum atlases based on deep learning L Chen, Z Wu, D Hu, Y Pei, F Zhao, Y Sun, Y Wang, W Lin, L Wang, G Li, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 10 | 2021 |
| Semi-supervised transfer learning for infant cerebellum tissue segmentation Y Sun, K Gao, S Niu, W Lin, G Li, L Wang, ... Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 8 | 2020 |
| Self-supervised learning with application for infant cerebellum segmentation and analysis Y Sun, L Wang, K Gao, S Ying, W Lin, KL Humphreys, G Li, S Niu, M Liu, ... Nature Communications 14 (1), 4717, 2023 | 7 | 2023 |
| Adaptive-guided-coupling-probability level set for retinal layer segmentation Y Sun, S Niu, X Gao, J Su, J Dong, Y Chen, L Wang IEEE Journal of Biomedical and Health Informatics 24 (11), 3236-3247, 2020 | 7 | 2020 |
| Multi-scale self-supervised learning for multi-site pediatric brain MR image segmentation with motion/Gibbs artifacts Y Sun, K Gao, W Lin, G Li, S Niu, L Wang Machine Learning in Medical Imaging: 12th International Workshop, MLMI 2021 …, 2021 | 5 | 2021 |
| An end‐to‐end infant brain parcellation pipeline L Wang, Y Sun, W Lin, G Li, L Wang Intelligent medicine 4 (2), 65-74, 2024 | 4 | 2024 |
| Longitudinal development of the cerebellum in human infants during the first 800 days Y Wang, L Chen, Z Wu, T Li, Y Sun, J Cheng, H Zhu, W Lin, L Wang, ... Cell reports 42 (4), 2023 | 4 | 2023 |
| Weakly supervised cerebellar cortical surface parcellation with self-visual representation learning Z Wu, J Cheng, F Zhao, Y Wang, Y Sun, D Zhu, T Liu, V Jewells, W Lin, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| Segmentation with varying contrasts of pediatric MRI Y Sun, G Li, Z Wu, K Gao, S Niu, D Shen, L Wang Advances in Magnetic Resonance Technology and Applications 2, 265-286, 2021 | 2 | 2021 |
| A foundation model for enhancing magnetic resonance images and downstream segmentation, registration and diagnostic tasks Y Sun, L Wang, G Li, W Lin, L Wang Nature Biomedical Engineering, 1-18, 2024 | 1 | 2024 |
| A data-driven variability assessment of brain diffusion MRI preprocessing pipelines J Veraart, D Christiaens, E Dai, LJ Edwards, V Golkov, S Mohammadi, ... Proceedings of the Joint Annual ISMRM-ESMRMB Meeting, 2022 | 1 | 2022 |
| Self-supervised transfer learning for infant cerebellum segmentation with multi-domain MRIs Y Sun, K Gao, S Ying, W Lin, G Li, S Niu, M Liu, L Wang International Society for Magnetic Resonance in Medicine, 2021 | 1 | 2021 |
| Informative Feature-Guided Siamese Network for Early Diagnosis of Autism K Gao, Y Sun, S Niu, L Wang Machine Learning in Medical Imaging: 11th International Workshop, MLMI 2020 …, 2020 | 1 | 2020 |
| 3D level set method via local structure similarity factor for automatic neurosensory retinal detachment segmentation in retinal SD-OCT images Y Sun, S Niu, J Dong, Y Chen Artificial Intelligence: Second CCF International Conference, ICAI 2019 …, 2019 | 1 | 2019 |
| A lifespan-generalizable skull-stripping model for magnetic resonance images that leverages prior knowledge from brain atlases L Wang, Y Sun, J Seidlitz, RAI Bethlehem, A Alexander-Bloch, ... Nature Biomedical Engineering, 1-16, 2025 | | 2025 |
| Longitudinal Development of Regional Cerebellar Volumes from Birth to 27 Months of Age Y Wang, L Chen, Y Sun, T Li, Z Wu, W Huang, W Lin, L Wang, G Li | | |
Li WangAssociate Professor, Director of Developing Brain Computing Lab, UNC-Chapel HillПодтвержден адрес электронной почты в домене med.unc.edu