myvtkpythonlibrary
Science Score: 67.0%
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✓CITATION.cff file
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✓codemeta.json file
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✓.zenodo.json file
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✓DOI references
Found 25 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (6.8%) to scientific vocabulary
Repository
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 3
Metadata Files
README.md
myVTKPythonLibrary
A collection of tools to manipulate meshes and images using vtkpython.
The library has notably been used in: * Genet, M., Lee, L. C., Nguyen, R., Haraldsson, H., Acevedo-Bolton, G., Zhang, Z., Ge, L., Ordovas, K., Kozerke, S., & Guccione, J. M. (2014). Distribution of normal human left ventricular myofiber stress at end diastole and end systole: A target for in silico design of heart failure treatments. Journal of Applied Physiology, 117, 142–152. * Genet, M., Lee, L. C., Ge, L., Acevedo-Bolton, G., Jeung, N., Martin, A. J., Cambronero, N., Boyle, A. J., Yeghiazarians, Y., Kozerke, S., & Guccione, J. M. (2015). A Novel Method for Quantifying Smooth Regional Variations in Myocardial Contractility Within an Infarcted Human Left Ventricle Based on Delay-Enhanced Magnetic Resonance Imaging. Journal of Biomechanical Engineering, 137(8). * Genet, M., Rausch, M. K., Lee, L. C., Choy, S., Zhao, X., Kassab, G. S., Kozerke, S., Guccione, J. M., & Kuhl, E. (2015). Heterogeneous growth-induced prestrain in the heart. Journal of Biomechanics, 48(10), 2080–2089. * Tanaka, Y., Genet, M., Lee, L. C., Martin, A. J., Sievers, R., & Gerstenfeld, E. P. (2015). Utility of high-resolution electroanatomic mapping of the left ventricle using a multispline basket catheter in a swine model of chronic myocardial infarction. Heart Rhythm, 12(1), 144–154. * Genet, M., Lee, L. C., Baillargeon, B., Guccione, J. M., & Kuhl, E. (2016). Modeling Pathologies of Diastolic and Systolic Heart Failure. Annals of Biomedical Engineering, 44(1), 112–127. * Berberoğlu, E., Stoeck, C. T., Moireau, P., Kozerke, S., & Genet, M. (2019). Validation of Finite Element Image Registration‐based Cardiac Strain Estimation from Magnetic Resonance Images. PAMM, 19(1). * Berberoğlu, E., Stoeck, C. T., Moireau, P., Kozerke, S., & Genet, M. (2021). In-silico study of accuracy and precision of left-ventricular strain quantification from 3D tagged MRI. PLOS ONE, 16(11), e0258965. * Castellanos, D. A., Škardová, K., Bhattaru, A., Berberoğlu, E., Greil, G., Tandon, A., Dillenbeck, J., Burkhardt, B., Hussain, T., Genet, M., & Chabiniok, R. (2021). Left Ventricular Torsion Obtained Using Equilibrated Warping in Patients with Repaired Tetralogy of Fallot. Pediatric Cardiology. * Berberoğlu, E., Stoeck, C. T., Kozerke, S., & Genet, M. (2022). Quantification of left ventricular strain and torsion by joint analysis of 3D tagging and cine MR images. Medical Image Analysis, 82, 102598. * Patte, C., Brillet, P.-Y., Fetita, C., Gille, T., Bernaudin, J.-F., Nunes, H., Chapelle, D., & Genet, M. (2022). Estimation of regional pulmonary compliance in idiopathic pulmonary fibrosis based on personalized lung poromechanical modeling. Journal of Biomechanical Engineering. * Laville, C., Fetita, C., Gille, T., Brillet, P.-Y., Nunes, H., Bernaudin, J.-F., & Genet, M. (2023). Comparison of optimization parametrizations for regional lung compliance estimation using personalized pulmonary poromechanical modeling. Biomechanics and Modeling in Mechanobiology.
Installation
A working installation of VTK is required to run myVTKPythonLibrary, which is then easily installable via pip:
pip install myVTKPythonLibrary
Owner
- Name: Martin Genet
- Login: mgenet
- Kind: user
- Location: Paris
- Company: École Polytechnique
- Website: https://gitlab.inria.fr/mgenet
- Repositories: 1
- Profile: https://github.com/mgenet
Citation (CITATION.cff)
cff-version: 1.2.0
authors:
- family-names: Genet
given-names: Martin
orcid: 0000-0003-2204-201X
- family-names: Patte
given-names: Cécile
orcid: 0000-0001-8553-886X
title: "myVTKPythonLibrary"
url: https://gitlab.inria.fr/mgenet/myVTKPythonLibrary
doi: 10.5281/zenodo.11106508
GitHub Events
Total
- Release event: 1
- Delete event: 2
- Push event: 10
- Pull request event: 7
- Create event: 3
Last Year
- Release event: 1
- Delete event: 2
- Push event: 10
- Pull request event: 7
- Create event: 3
Dependencies
- numpy *