Bei Hong
Orcid: 0000-0003-2432-8273
According to our database1,
Bei Hong
authored at least 13 papers
between 2010 and 2024.
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Bibliography
2024
DeepMulticut: Deep Learning of Multicut Problem for Neuron Segmentation From Electron Microscopy Volume.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024
A novel 3D instance segmentation network for synapse reconstruction from serial electron microscopy images.
Expert Syst. Appl., 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
An Automatic Classification Pipeline for the Complex Synaptic Structure Based on Deep Learning.
J. Syst. Sci. Complex., 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
2019
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.
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
2010
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010