Bei Hong

According to our database, Bei Hong authored at least 14 papers between 2010 and 2025.

Collaborative distances:

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

2025

FSFDS: enhancing flight sensor fault diagnosis via diffusion and self-attention networks.

Jiaojiao Gu, Ping Gao, Xue Li, Bei Hong, Tao Sun

Int. J. Sens. Networks, 2025

2024

DeepMulticut: Deep Learning of Multicut Problem for Neuron Segmentation From Electron Microscopy Volume.

Zhenchen Li, Xu Yang, Jiazheng Liu, Bei Hong, Yanchao Zhang, Hao Zhai, Lijun Shen, Xi Chen, Zhiyong Liu, Hua Han

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

A novel 3D instance segmentation network for synapse reconstruction from serial electron microscopy images.

Jing Liu, Bei Hong, Chi Xiao, Hao Zhai, Lijun Shen, Qiwei Xie, Hua Han

Expert Syst. Appl., 2024

2023

Graph partitioning algorithms with biological connectivity decisions for neuron reconstruction in electron microscope volumes.

Bei Hong, Jing Liu, Lijun Shen, Qiwei Xie, Jingbin Yuan, Ali Emrouznejad, Hua Han

Expert Syst. Appl., July, 2023

Intra- and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale Connectomics.

Hao Zhai, Jing Liu, Bei Hong, Jiazheng Liu, Qiwei Xie, Hua Han

Proceedings of the Medical Imaging with Deep Learning, 2023

Planar to Spatial: a Synapse Reconstruction Method to Rebuild Voxel Connections for Anisotropic Serial EM Images.

Jinyue Guo, Jing Liu, Bei Hong, Yanchao Zhang, Yuxuan Xu, Hua Han

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

2022

An Automatic Classification Pipeline for the Complex Synaptic Structure Based on Deep Learning.

Lijun Shen, Chao Ma, Jie Luo, Bei Hong

J. Syst. Sci. Complex., 2022

Deep residual contextual and subpixel convolution network for automated neuronal structure segmentation in micro-connectomics.

Chi Xiao, Bei Hong, Jing Liu, Yuanyan Tang, Qiwei Xie, Hua Han

Comput. Methods Programs Biomed., 2022

Joint reconstruction of neuron and ultrastructure via connectivity consensus in electron microscope volumes.

Bei Hong, Jing Liu, Hao Zhai, Jiazheng Liu, Lijun Shen, Xi Chen, Qiwei Xie, Hua Han

BMC Bioinform., 2022

2021

An effective AI integrated system for neuron tracing on anisotropic electron microscopy volume.

Jing Liu, Bei Hong, Xi Chen, Qiwei Xie, Yuanyan Tang, Hua Han

Biomed. Signal Process. Control., 2021

2019

Automatic Classification for the Type of Multiple Synapse Based on Deep Learning.

Jie Luo, Bei Hong, Yi Jiang, Linlin Li, Qiwei Xie, Hua Han

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Automatic Detection and Segmentation of Mitochondria from SEM Images using Deep Neural Network.

Jing Liu, Weifu Li, Chi Xiao, Bei Hong, Qiwei Xie, Hua Han

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Fully Automatic Synaptic Cleft Detection and Segmentation from EM Images Based on Deep Learning.

Bei Hong, Jing Liu, Weifu Li, Chi Xiao, Qiwei Xie, Hua Han

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

2010

ACO Based Energy-Balance Routing Algorithm for WSNs.

Xuepeng Jiang, Bei Hong

Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010