Neuron tracing from light microscopy images: automation, deep learning and bench testing
Motivation Large-scale neuronal morphologies are essential to neuronal typing, connectivity
characterization and brain modeling. It is widely accepted that automation is critical to the …
characterization and brain modeling. It is widely accepted that automation is critical to the …
Local intensity order transformation for robust curvilinear object segmentation
Segmentation of curvilinear structures is important in many applications, such as retinal
blood vessel segmentation for early detection of vessel diseases and pavement crack …
blood vessel segmentation for early detection of vessel diseases and pavement crack …
ICE-GAN: Identity-aware and capsule-enhanced GAN with graph-based reasoning for micro-expression recognition and synthesis
Micro-expressions are reflections of people's true feelings and motives, which attract an
increasing number of researchers into the study of automatic facial micro-expression …
increasing number of researchers into the study of automatic facial micro-expression …
Tracing weak neuron fibers
Motivation Precise reconstruction of neuronal arbors is important for circuitry mapping. Many
auto-tracing algorithms have been developed toward full reconstruction. However, it is still …
auto-tracing algorithms have been developed toward full reconstruction. However, it is still …
PointNeuron: 3D Neuron Reconstruction via Geometry and Topology Learning of Point Clouds
Digital neuron reconstruction from 3D microscopy images is an essential technique for
investigating brain connectomics and neuron morphology. Existing reconstruction …
investigating brain connectomics and neuron morphology. Existing reconstruction …
Voxel-wise cross-volume representation learning for 3D neuron reconstruction
Automatic 3D neuron reconstruction is critical for analysing the morphology and functionality
of neurons in brain circuit activities. However, the performance of existing tracing algorithms …
of neurons in brain circuit activities. However, the performance of existing tracing algorithms …
AI-enhanced 3D biomedical data analytics for neuronal structure reconstruction
Investigation of the 3D neuron morphology plays a critical part in understanding functions
and activities in brain circuits, towards discovering how the brain develops in health and …
and activities in brain circuits, towards discovering how the brain develops in health and …
Neuronal Image Reconstruction
Y Liu, K Chen, H Peng - Frontiers in Bioimage Informatics …, 2024 - World Scientific
Neurons are the fundamental units responsible for the structure and function of the brain,
making their morphologies crucial for characterizing the brain. In this chapter, we provide an …
making their morphologies crucial for characterizing the brain. In this chapter, we provide an …