vascular_encoding_framework

The python implementation of the Vascular Encoding Framework to analyze and compare vascular structures.

https://github.com/paur0/vascular_encoding_framework

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
Found CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
Found 4 DOI reference(s) in README
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Academic publication links
Links to: sciencedirect.com
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Academic email domains
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (10.6%) to scientific vocabulary

Last synced: 9 months ago · JSON representation ·

Repository

The python implementation of the Vascular Encoding Framework to analyze and compare vascular structures.

Basic Info

Host: GitHub
Owner: PauR0
Language: Python
Default Branch: master
Homepage:
Size: 2.81 MB

Statistics

Stars: 4
Watchers: 1
Forks: 1
Open Issues: 0
Releases: 2

Created over 2 years ago · Last pushed 11 months ago

Metadata Files

Readme Citation Codeowners

Vascular Encoding Framework

This project contains the python implementation of the Vascular Encoding Framework to analyze and compare vascular structures. It can be installed as a python library. Additionally a CLI external module is also available under the name of vef_scripts.

Getting Started

First clone the repo locally:
- With https: git clone https://github.com/PauR0/vascular_encoding_framework.git
- With ssh: git clone git@github.com:PauR0/vascular_encoding_framework.git
Install it with pip.

:warning: We highly recommend to install the package inside a virtual environment and not at the user-level python interpreter.

cd vascular_encoding_framework and then, pip install .
To check if the installation succeeded it may be worth trying to run a tutorial.

Citing the project.

Right now, the two main ways to cite this project are citing the repo:

The preferred one, is citing the paper where the Vessel Coordinate System was introduced: bibtex @article{romero2025, author = {Pau Romero and Abel Pedrós and Rafael Sebastian and Miguel Lozano and Ignacio García-Fernández}, journal = {Applied Mathematics and Computation}, title = {A robust shape model for blood vessels analysis}, year = {2025}, issn = {0096-3003}, pages = {129078}, volume = {487}, doi = {https://doi.org/10.1016/j.amc.2024.129078}, url = {https://www.sciencedirect.com/science/article/pii/S0096300324005393}, }

Although, there also exists the possibility of citing the repo as is: bibtex @software{VEF, author = {Romero, Pau}, title = {Vascular Encoding Framework}, url = {https://github.com/PauR0/vascular_encoding_framework}, year = {2024} }

Owner

Login: PauR0
Kind: user

Repositories: 1
Profile: https://github.com/PauR0

Citation (CITATION.bib)

@article{romero2025,
  author   = {Pau Romero and Abel Pedrós and Rafael Sebastian and Miguel Lozano and Ignacio García-Fernández},
  journal  = {Applied Mathematics and Computation},
  title    = {A robust shape model for blood vessels analysis},
  year     = {2025},
  issn     = {0096-3003},
  pages    = {129078},
  volume   = {487},
  doi      = {https://doi.org/10.1016/j.amc.2024.129078},
  keywords = {Blood vessel anatomy, Parametric vascular modeling, Coordinate system, CFD simulations, Digital twin, Patient-specific modeling},
  owner    = {pau},
  url      = {https://www.sciencedirect.com/science/article/pii/S0096300324005393}
}

GitHub Events

Total

Release event: 2
Watch event: 5
Delete event: 10
Push event: 24
Pull request event: 2
Create event: 6

Last Year

Release event: 2
Watch event: 5
Delete event: 10
Push event: 24
Pull request event: 2
Create event: 6

Issues and Pull Requests

Last synced: 9 months ago

All Time

Total issues: 0
Total pull requests: 1
Average time to close issues: N/A
Average time to close pull requests: 4 minutes
Total issue authors: 0
Total pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.0
Merged pull requests: 1
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 0
Pull requests: 1
Average time to close issues: N/A
Average time to close pull requests: 4 minutes
Issue authors: 0
Pull request authors: 1
Average comments per issue: 0
Average comments per pull request: 0.0
Merged pull requests: 1
Bot issues: 0
Bot pull requests: 0

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