Efficient and robust deep learning with correntropy-induced loss function L Chen, H Qu, J Zhao, B Chen, JC Principe Neural Computing and Applications 27 (4), 1019-1031, 2016 | 102 | 2016 |
Correntropy-based robust multilayer extreme learning machines C Liangjun, P Honeine, QU Hua, Z Jihong, S Xia Pattern Recognition 84, 357-370, 2018 | 55 | 2018 |
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 | 41 | 2023 |
Generalized Correntropy based deep learning in presence of non-Gaussian noises L Chen, H Qu, J Zhao Neurocomputing 278, 41-50, 2018 | 35 | 2018 |
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 | 19 | 2022 |
Four-dimensional mapping of dynamic longitudinal brain subcortical development and early learning functions in infants L Chen, Y Wang, Z Wu, Y Shan, T Li, SC Hung, L Xing, H Zhu, L Wang, ... Nature Communications 14 (1), 3727, 2023 | 11 | 2023 |
ABCnet: Adversarial bias correction network for infant brain MR images L Chen, Z Wu, D Hu, F Wang, JK Smith, W Lin, L Wang, D Shen, G Li, ... Medical image analysis 72, 102133, 2021 | 9 | 2021 |
Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age T Zhong, J Wei, K Wu, L Chen, F Zhao, Y Pei, Y Wang, H Zhang, Z Wu, ... NeuroImage 247, 118799, 2022 | 7 | 2022 |
Learning spatiotemporal probabilistic atlas of fetal brains with anatomically constrained registration network Y Pei, L Chen, F Zhao, Z Wu, T Zhong, Y Wang, C Chen, L Wang, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 7 | 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 | 7 | 2021 |
Generalized correntropy induced loss function for deep learning L Chen, H Qu, J Zhao 2016 International Joint Conference on Neural Networks (IJCNN), 1428-1433, 2016 | 7 | 2016 |
A deep spatial context guided framework for infant brain subcortical segmentation L Chen, Z Wu, D Hu, Y Wang, Z Mo, L Wang, W Lin, D Shen, G Li, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 4 | 2020 |
An integrated finite element method and machine learning algorithm for brain morphology prediction P Chavoshnejad, L Chen, X Yu, J Hou, N Filla, D Zhu, T Liu, G Li, ... Cerebral Cortex 33 (15), 9354-9366, 2023 | 3 | 2023 |
An attention-based context-informed deep framework for infant brain subcortical segmentation L Chen, Z Wu, F Zhao, Y Wang, W Lin, L Wang, G Li Neuroimage 269, 119931, 2023 | 3 | 2023 |
Reference-relation guided autoencoder with deep cca restriction for awake-to-sleep brain functional connectome prediction D Hu, W Yin, Z Wu, L Chen, L Wang, W Lin, G Li, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021 | 3 | 2021 |
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 | 1 | 2023 |
Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images L Ma, L Chen, F Zhao, Z Wu, L Wang, W Lin, H Zhang, K Li, G Li 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), 1-5, 2023 | 1 | 2023 |
基于 DT-KSVM 的业务感知算法 董昊, 曲桦, 赵季红, 陈梁骏, 戴慧珺 电信科学 31 (11), 67-71, 2015 | | 2015 |
基于 MST 的拓扑感知度约束覆盖网构建算法 陈梁骏, 赵季红, 曲桦, 戴慧珺 系统工程与电子技术 36 (8), 1643-1650, 2014 | | 2014 |