| Publication type: | Research data |
| Title: | AneuX morphology database |
| Authors: | Juchler, Norman Bijlenga, Philippe Hirsch, Sven |
| et. al: | No |
| DOI: | 10.5281/zenodo.6678442 |
| Issue Date: | 26-Jun-2022 |
| Publisher / Ed. Institution: | Zenodo |
| Language: | English |
| Subjects: | Intracranial aneurysm; Geometric model; Morphological analysis |
| Subject (DDC): | 005: Computer programming, programs and data 616: Internal medicine and diseases |
| Abstract: | The AneuX morphology database is an open-access, multi-centric database containing 3D geometries of 750 intracranial aneurysms curated in the context of the AneuX project (2015-2020). The database combines data from three different projects (AneuX, @neurIST and Aneurisk) standardized using a single processing pipeline. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/25379 |
| Related publications: | https://doi.org/10.3389/fneur.2022.809391 |
| License (according to publishing contract): | CC BY-NC 4.0: Attribution - Non commercial 4.0 International |
| Departement: | Life Sciences and Facility Management |
| Organisational Unit: | Institute of Computational Life Sciences (ICLS) |
| Published as part of the ZHAW project: | AneuX |
| Appears in collections: | ZHAW Forschungsdaten Life Sciences and Facility Management |
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Juchler, N., Bijlenga, P., & Hirsch, S. (2022). AneuX morphology database [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6678442
Juchler, N., Bijlenga, P. and Hirsch, S. (2022) ‘AneuX morphology database’. Zenodo. Available at: https://doi.org/10.5281/zenodo.6678442.
N. Juchler, P. Bijlenga, and S. Hirsch, “AneuX morphology database.” Zenodo, Jun. 26, 2022. doi: 10.5281/zenodo.6678442.
JUCHLER, Norman, Philippe BIJLENGA und Sven HIRSCH, 2022. AneuX morphology database. Data set. 26 Juni 2022. Zenodo
Juchler, Norman, Philippe Bijlenga, and Sven Hirsch. 2022. “AneuX Morphology Database.” Data set. Zenodo. https://doi.org/10.5281/zenodo.6678442.
Juchler, Norman, et al. AneuX Morphology Database. Zenodo, 26 June 2022, https://doi.org/10.5281/zenodo.6678442.
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