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Yue Sun
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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
712021
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
352023
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
82021
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
82021
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
82020
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
72021
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
62020
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
42023
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
32021
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
22023
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
22021
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
12023
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
12022
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
12021
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
12019
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
2020
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
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Articles 1–17