#计算机科学#Machine learning for NeuroImaging in Python
Workflows and interfaces for neuroimaging packages
Python package to access a cacophony of neuro-imaging file formats
fMRIPrep is a robust and easy-to-use pipeline for preprocessing of diverse fMRI data. The transparent workflow dispenses of manual intervention, thereby ensuring the reproducibility of the results.
Learn about the Neumorphic engineering process of creating large-scale integration (VLSI) systems containing electronic analog circuits to mimic neuro-biological architectures.
A toolbox for comparing brain maps
Graph theory analysis of brain MRI data
#计算机科学#Framework for the reproducible processing of neuroimaging data with deep learning methods
Automated anatomical brain label/shape analysis software (+ website)
Easy to use web database for statistical maps.
#计算机科学#PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty
Code supporting 'Geometric constraints on human brain function'
#计算机科学#A python package which aligns histology to the Allen Brain Atlas and Waxholm rat atlas using deep learning.
The TemplateFlow Archive - A DataLad super-dataset
Useful tools from the Network Neuroscience Lab
Public release of The Cole-Anticevic Brain-wide Network Partition (CAB-NP)
BrainPainter - Brain Visualisation Software
#计算机科学#AssemblyNet: 3D Whole Brain MRI segmentation pipeline