statismo - Statistical Image And Shape Models
Abbreviation: statismo
Homepage https://github.com/statismo/statismo
Countries that developed this resource Switzerland
Taxonomic range
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How to cite this record FAIRsharing.org: statismo; statismo - Statistical Image And Shape Models; DOI: https://doi.org/10.25504/FAIRsharing.gct3wr; Last edited: March 12, 2020, 4:20 p.m.; Last accessed: Sep 18 2020 3:12 p.m.
Record added: Jan. 7, 2015, 11:25 a.m.
Record updated:
Feb. 24, 2020, 5:54 p.m. by The FAIRsharing Team.
| Mailing List | None |
| online documentation | https://github.com/statismo/statismo/wik ... |
| online documentation | Powerpoint presentation |
Additional Information
| Contact | Marcel Lüthi ORCID |
No XSD schemas defined
Conditions of Use
Applies to: Data useStatismo - A framework for PCA based statistical models
Lüthi M., Blanc R., Albrecht T., Gass T., Goksel O., Büchler P., Kistler M., Bousleiman H., Reyes M., Cattin P., Vetter T.
The Insight Journal 2012
Reporting Guidelines
No guidelines defined
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Models and Formats
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No metrics standards defined
The Sicas Medical Image Repository is a centralized storage system where the data such as Images, Segmentations, SSM can be used to build and shared statistical shape models. Dicom, ITK based images and statistical models in the statismo format can be stored on SMIR.
This record is not implemented by any policy.
Record Maintainer
This record is maintained by klm1
Maintains
ARTORG Center for Biomedical Engineering Research (Research institute)
Institute for Surgical Technology and Biomechanics, Bern, Switzerland (Government body)
Computer Vision Lab, ETH Zurich, Zurich, Switzerland (Research institute)
Graphics and Vision Research Group, University of Basel, Switzerland (Lab)
