
Security News
NVD Quietly Sweeps 100K+ CVEs Into a “Deferred” Black Hole
NVD now marks all pre-2018 CVEs as "Deferred," signaling it will no longer enrich older vulnerabilities, further eroding trust in its data.
.. image:: https://img.shields.io/pypi/v/sdcflows.svg :target: https://pypi.python.org/pypi/sdcflows/ :alt: Latest Version
.. image:: https://codecov.io/gh/nipreps/sdcflows/branch/master/graph/badge.svg?token=V2CS5adHYk :target: https://codecov.io/gh/nipreps/sdcflows
.. image:: https://circleci.com/gh/nipreps/sdcflows.svg?style=svg :target: https://circleci.com/gh/nipreps/sdcflows
.. image:: https://github.com/nipreps/sdcflows/workflows/Deps%20&%20CI/badge.svg :target: https://github.com/nipreps/sdcflows/actions
SDCFlows (Susceptibility Distortion Correction workFlows) is a Python library of NiPype-based workflows to preprocess B0 mapping data, estimate the corresponding fieldmap and finally correct for susceptibility distortions. Susceptibility-derived distortions are typically displayed by images acquired with EPI (echo-planar imaging) MR schemes.
The library is designed to provide an easily accessible, state-of-the-art interface that is robust to differences in scan acquisition protocols and that requires minimal user input.
This open-source neuroimaging data processing tool is being developed as a part of
the MRI image analysis and reproducibility platform offered by
NiPreps <https://www.nipreps.org>
__.
FAQs
Susceptibility Distortion Correction (SDC) workflows for EPI MR schemes.
We found that sdcflows demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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Security News
NVD now marks all pre-2018 CVEs as "Deferred," signaling it will no longer enrich older vulnerabilities, further eroding trust in its data.
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