Liangjun Chen

According to our database, Liangjun Chen authored at least 15 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automatic Robotic Development through Collaborative Framework by Large Language Models.

Zhirong Luan, Yujun Lai, Rundong Huang, Xiaruiqi Lan, Liangjun Chen, Badong Chen

CoRR, 2024

2023

An attention-based context-informed deep framework for infant brain subcortical segmentation.

Liangjun Chen, Zhengwang Wu, Fenqiang Zhao, Ya Wang, Weili Lin, Li Wang, Gang Li

NeuroImage, April, 2023

Geometric Constrained Deep Learning for Motion Correction of Fetal Brain Mr Images.

Laifa Ma, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Li Wang, Weili Lin, He Zhang, Kenli Li, Gang Li

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Unsupervised Few-Shot Learning via Positive Expansions and Negative Proxies.

Liangjun Chen, Pengjiang Qian

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

Longitudinal brain atlases of early developing cynomolgus macaques from birth to 48 months of age.

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

NeuroImage, 2022

A 4D infant brain volumetric atlas based on the UNC/UMN baby connectome project (BCP) cohort.

Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Fenqiang Zhao, Tao Zhong, Weili Lin, Li Wang, Gang Li

NeuroImage, 2022

2021

ABCnet: Adversarial bias correction network for infant brain MR images.

Liangjun Chen, Zhengwang Wu, Dan Hu, Fan Wang, J. Keith Smith, Weili Lin, Li Wang, Dinggang Shen, Gang Li

Medical Image Anal., 2021

Learning Spatiotemporal Probabilistic Atlas of Fetal Brains with Anatomically Constrained Registration Network.

Yuchen Pei, Liangjun Chen, Fenqiang Zhao, Zhengwang Wu, Tao Zhong, Ya Wang, Changan Chen, Li Wang, He Zhang, Lisheng Wang, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Reference-Relation Guided Autoencoder with Deep CCA Restriction for Awake-to-Sleep Brain Functional Connectome Prediction.

Dan Hu, Weiyan Yin, Zhengwang Wu, Liangjun Chen, Li Wang, Weili Lin, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Construction of Longitudinally Consistent 4D Infant Cerebellum Atlases Based on Deep Learning.

Liangjun Chen, Zhengwang Wu, Dan Hu, Yuchen Pei, Fenqiang Zhao, Yue Sun, Ya Wang, Weili Lin, Li Wang, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Electrothermal Actuators with Ultrafast Response Speed and Large Deformation.

Guinan Chen, Zhonglin Yang, Wenwen Wang, Lili Bi, Liangjun Chen, Yongwu Peng, Changhui Ye

Adv. Intell. Syst., 2020

A Deep Spatial Context Guided Framework for Infant Brain Subcortical Segmentation.

Liangjun Chen, Zhengwang Wu, Dan Hu, Ya Wang, Zhanhao Mo, Li Wang, Weili Lin, Dinggang Shen, Gang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2018

Generalized Correntropy based deep learning in presence of non-Gaussian noises.

Liangjun Chen, Hua Qu, Ji-hong Zhao

Neurocomputing, 2018

2016

Efficient and robust deep learning with Correntropy-induced loss function.

Liangjun Chen, Hua Qu, Ji-hong Zhao, Badong Chen, José Carlos Príncipe

Neural Comput. Appl., 2016

Generalized correntropy induced loss function for deep learning.

Liangjun Chen, Hua Qu, Ji-hong Zhao

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016