EM Image Reconstruction Tools using Python
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Updated
May 13, 2019 - Python
EM Image Reconstruction Tools using Python
Solution for CNI Machine Learning Challenge
Semantic segmentation architectures for connectomics.
A (soon to be) lightweight Python package for accessing single-cell connectome networks with metadata.
Methods for estimating time-varying functional connectivity (TVFC)
Connectome Quality Control Software Development in-line with DiCIPHR's DTI Processing pipeline
Meta-learning using graph neural networks for brain connectivity regression.
An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment
Efficient meta learning of synaptic plasticity from experimental data using artificial neural network models
ABMT (Adversarial Brain Multiplex Translator) for brain graph translation using geometric generative adversarial network (gGAN).
A paper investigating bilateral symmetry of connectome networks.
maintainance of the code for complex network analysis based modeling of Event Related Potential (ERP) electroencephalography (EEG) data from baby brain, can be applied to other data, including human brain.
Python tool for spatially normalizing diffusion MRI data
GNN with summarization/grouping layer for speed and interpretability
Tools to work with the FlyWire connectome. Fully interoperable with navis.
Compose chunk operators to create a pipeline for local or distributed petabyte-scale computation
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