Liangjun Chen

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Probabilistic Atlas

Brain Structures

Weakly Supervised

Top Venues

Medical Image Anal.

Publications

Kaizhong Zheng, Shujian Yu, Liangjun Chen, Lujuan Dang, Badong Chen
BPI-GNN: Interpretable brain network-based psychiatric diagnosis and subtyping. NeuroImage 292 (2024)
Liangjun Chen, Pengjiang Qian
Unsupervised Few-Shot Learning via Positive Expansions and Negative Proxies. ICIC (5) (2023)
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 (2023)
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)
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 (2022)
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 (2022)
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 (2021)
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)
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)
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)
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)
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) (2020)
Liangjun Chen, Hua Qu, Ji-hong Zhao
Generalized Correntropy based deep learning in presence of non-Gaussian noises. Neurocomputing 278 (2018)
Liangjun Chen, Hua Qu, Ji-hong Zhao
Generalized correntropy induced loss function for deep learning. IJCNN (2016)
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) (2016)