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2020 – today
- 2022
[j6]Tao Zhong, Jingkuan Wei, Kunhua Wu, Liangjun Chen, Fenqiang Zhao, Yuchen Pei, Ya Wang, Hongjiang Zhang, Zhengwang Wu, Ying Huang, Tengfei Li
, Li Wang, Yongchang Chen, Weizhi Ji, Yu Zhang, Gang Li, Yuyu Niu:
Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age. NeuroImage 247: 118799 (2022)- [j5]Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Fenqiang Zhao, Tao Zhong, Weili Lin, Li Wang, Gang Li:
A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort. NeuroImage 253: 119097 (2022) - 2021
- [j4]Liangjun Chen, Zhengwang Wu, Dan Hu, Fan Wang, J. Keith Smith, Weili Lin, Li Wang, Dinggang Shen, Gang Li:
ABCnet: Adversarial bias correction network for infant brain MR images. Medical Image Anal. 72: 102133 (2021) - [c5]Liangjun Chen, Zhengwang Wu, Dan Hu, Yuchen Pei, Fenqiang Zhao, Yue Sun, Ya Wang, Weili Lin, Li Wang, Gang Li:
Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning. MICCAI (4) 2021: 139-149 - [c4]Dan Hu, Weiyan Yin, Zhengwang Wu, Liangjun Chen, Li Wang, Weili Lin, Gang Li:
Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction. MICCAI (3) 2021: 231-240 - [c3]Yuchen Pei, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Tao Zhong, Ya Wang, Changan Chen, Li Wang, He Zhang, Lisheng Wang, Gang Li:
Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network. MICCAI (7) 2021: 239-248 - 2020
- [j3]Guinan Chen, Zhonglin Yang, Wenwen Wang, Lili Bi, Liangjun Chen, Yongwu Peng, Changhui Ye:
Electrothermal Actuators with Ultrafast Response Speed and Large Deformation. Adv. Intell. Syst. 2(8): 2000036 (2020) - [c2]Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang, Weili Lin, Dinggang Shen, Gang Li:
A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation. MICCAI (7) 2020: 646-656
2010 – 2019
- 2018
- [j2]Liangjun Chen, Hua Qu, Ji-hong Zhao:
Generalized Correntropy based deep learning in presence of non-Gaussian noises. Neurocomputing 278: 41-50 (2018) - 2016
- [j1]Liangjun Chen, Hua Qu, Ji-hong Zhao, Badong Chen, José Carlos Príncipe:
Efficient and robust deep learning with Correntropy-induced loss function. Neural Comput. Appl. 27(4): 1019-1031 (2016) - [c1]Liangjun Chen, Hua Qu, Ji-hong Zhao:
Generalized correntropy induced loss function for deep learning. IJCNN 2016: 1428-1433
Coauthor Index
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