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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
212021
Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation
Y Sun, K Gao, S Niu, W Lin, G Li, L Wang, ...
International Workshop on Machine Learning in Medical Imaging, 663-673, 2020
42020
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
32020
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, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2021
12021
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
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
International CCF Conference on Artificial Intelligence, 83-92, 2019
12019
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
2021
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
International Workshop on Machine Learning in Medical Imaging, 171-179, 2021
2021
Informative Feature-Guided Siamese Network for Early Diagnosis of Autism
K Gao, Y Sun, S Niu, L Wang
International Workshop on Machine Learning in Medical Imaging, 674-682, 2020
2020
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Articles 1–9