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pyAFQ: Automated Fiber Quantification in Python

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 30 Jun 2022Publisher:Zenodo
Authors: Kruper, John; Yeatman, Jason; Rokem, Ariel;

doi: 10.5281/zenodo.3596873 , 10.5281/zenodo.10929216 , 10.5281/zenodo.15426030 , 10.5281/zenodo.3759927 , 10.5281/zenodo.10869929 , 10.5281/zenodo.7508448 , 10.5281/zenodo.6880023 , 10.5281/zenodo.8329421 , 10.5281/zenodo.14927708 , 10.5281/zenodo.11404102 , 10.5281/zenodo.7668271 , 10.5281/zenodo.14927707 , 10.5281/zenodo.13872094 , 10.5281/zenodo.6784427 , 10.5281/zenodo.16058357

pyAFQ: Automated Fiber Quantification in Python

Abstract

pyAFQ is a program and software library for analysis of white matter connections in the human brain measured with diffusion MRI

Related Organizations
Keywords

neuroimaging, tractography, dMRI

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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