Jing Liu

Orcid: 0000-0002-8386-9187

Affiliations:
  • Chinese Academy of Sciences, Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Institute of Automation, Beijing, China


According to our database1, Jing Liu authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
A novel 3D instance segmentation network for synapse reconstruction from serial electron microscopy images.
Expert Syst. Appl., 2024

SegNeuron: 3D Neuron Instance Segmentation in Any EM Volume with a Generalist Model.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
Graph partitioning algorithms with biological connectivity decisions for neuron reconstruction in electron microscope volumes.
Expert Syst. Appl., July, 2023

Intra- and Inter-Cellular Awareness for 3D Neuron Tracking and Segmentation in Large-Scale Connectomics.
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.
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.
Comput. Methods Programs Biomed., 2022

Joint reconstruction of neuron and ultrastructure via connectivity consensus in electron microscope volumes.
BMC Bioinform., 2022

2021
An effective AI integrated system for neuron tracing on anisotropic electron microscopy volume.
Biomed. Signal Process. Control., 2021

Sparse self-attention aggregation networks for neural sequence slice interpolation.
BioData Min., 2021

2018
A fast forward 3D connection algorithm for mitochondria and synapse segmentations from serial EM images.
BioData Min., 2018

Deep contextual residual network for electron microscopy image segmentation in connectomics.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Automatic Detection and Segmentation of Mitochondria from SEM Images using Deep Neural Network.
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.
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.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018


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