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2020 – today
- 2024
[j8]Kaizhong Zheng, Shujian Yu, Liangjun Chen, Lujuan Dang, Badong Chen:
BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping. NeuroImage 292: 120594 (2024)- [c8]Kaibo Tang, Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li:
Generation of Anatomy-Realistic 4d Infant Brain Atlases with Tissue Maps Using Generative Adversarial Networks. ISBI 2024: 1-5 - [i1]Zhirong Luan, Yujun Lai, Rundong Huang, Xiaruiqi Lan, Liangjun Chen, Badong Chen:
Automatic Robotic Development through Collaborative Framework by Large Language Models. CoRR abs/2402.03699 (2024) - 2023
- [j7]Liangjun Chen
, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li:
An attention-based context-informed deep framework for infant brain subcortical segmentation. NeuroImage 269: 119931 (2023) - [c7]Liangjun Chen, Pengjiang Qian:
Unsupervised Few-Shot Learning via Positive Expansions and Negative Proxies. ICIC (5) 2023: 773-784 - [c6]Laifa Ma, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, He Zhang, Kenli Li, Gang Li:
Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images. ISBI 2023: 1-5 - 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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