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Found 9 papers, 4 papers with code
A structural characterization of Compactly Supported OEP-based balanced dual multiframelets
Compared to scalar framelets, multiframelets have certain advantages, such as relatively smaller supports on generators, high vanishing moments, etc.
Automated Olfactory Bulb Segmentation on High Resolutional T2-Weighted MRI
The neuroimage analysis community has neglected the automated segmentation of the olfactory bulb (OB) despite its crucial role in olfactory function.
AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions
Electron microscopy (EM) enables the reconstruction of neural circuits at the level of individual synapses, which has been transformative for scientific discoveries.
Large-scale image segmentation based on distributed clustering algorithms
Many approaches to 3D image segmentation are based on hierarchical clustering of supervoxels into image regions.
Automated Neuron Shape Analysis from Electron Microscopy
Morphology based analysis of cell types has been an area of great interest to the neuroscience community for several decades.
Learning and Segmenting Dense Voxel Embeddings for 3D Neuron Reconstruction
We show dense voxel embeddings learned via deep metric learning can be employed to produce a highly accurate segmentation of neurons from 3D electron microscopy images.
Convolutional nets for reconstructing neural circuits from brain images acquired by serial section electron microscopy
Neural circuits can be reconstructed from brain images acquired by serial section electron microscopy.
Synaptic Partner Assignment Using Attentional Voxel Association Networks
The network takes the local image context and a binary mask representing a single cleft as input.
FatSegNet : A Fully Automated Deep Learning Pipeline for Adipose Tissue Segmentation on Abdominal Dixon MRI
Purpose: Development of a fast and fully automated deep learning pipeline (FatSegNet) to accurately identify, segment, and quantify abdominal adipose tissue on Dixon MRI from the Rhineland Study - a large prospective population-based study.
