Jing Liu

According to our database, Jing Liu authored at least 16 papers between 2018 and 2025.

Collaborative distances:

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

2025

Re-Isotropic Segmentation for Subcellular Ultrastructure in Anisotropic EM Images.

Jinyue Guo, Zejin Wang, Hao Zhai, Yanchao Zhang, Jing Liu, Hua Han

IEEE Trans. Medical Imaging, April, 2025

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

SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model.

Yanchao Zhang, Jinyue Guo, Hao Zhai, Jing Liu, Hua Han

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

SAvEM³: Pretrained and Distilled Models for General-purpose 3D Neuron Reconstruction.

Hao Zhai, Jinyue Guo, Yanchao Zhang, Jing Liu, Hua Han

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 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

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

Sparse self-attention aggregation networks for neural sequence slice interpolation.

Zejin Wang, Jing Liu, Xi Chen, Guoqing Li, Hua Han

BioData Min., 2021

2018

A fast forward 3D connection algorithm for mitochondria and synapse segmentations from serial EM images.

Weifu Li, Jing Liu, Chi Xiao, Hao Deng, Qiwei Xie, Hua Han

BioData Min., 2018

Deep contextual residual network for electron microscopy image segmentation in connectomics.

Chi Xiao, Jing Liu, Xi Chen, Hua Han, Chang Shu, Qiwei Xie

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 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

A Novel 3D Connection Algorithm of Mitochondria From ATUM-SEM Stacks Based on Segmentation Information in Context.

Weifu Li, Jing Liu, Chi Xiao, Hao Deng, 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