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2026
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| Online Access: | https://doi.org/10.5281/zenodo.19070734 |
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| author | Aydin, Orhun Utku Hilbert, Adam Frey, Dietmar |
| author_facet | Aydin, Orhun Utku Hilbert, Adam Frey, Dietmar |
| contents | <p>Open-source StyleGANv2 weights for generating 256x256x4 volumes of TOF-MRA images centered on the Circle of Willis. Model was developed in the frame of the ANONY-MED project, instructions for running inference are available at:<br>https://github.com/claim-berlin/ANONYMED-demonstrators/tree/main/1_STROKE/1_DATA_SYNTHESIS/local_stylegan</p> <p>The current model is derived from a previous publication (Aydin, et.al. 2024). It excludes all TOF-MRA datasets that are not licensed for direct download/access and adds more recent published TOF-MRA datasets. The model was trained on the following datasets:</p> <ul> <li>RSNA_Aneurysm_Detection Dataset: 1076 scans</li> <li>NITRC Dataset : 56 scans</li> <li>IXI Dataset: 327 scans</li> <li>Lausanne Dataset: 287 scans</li> <li>Royal Brisbane Dataset: 56 scans</li> <li>TopCoW Dataset: 130 scans</li> </ul> <p>Thus, this model is a direct result of the paper's contribution and the authors would appreciate citing the original paper when using this model in any scientific publicaiton:<br>Orhun Utku Aydin, Adam Hilbert, Alexander Koch, Felix Lohrke, Jana Rieger, Satoru Tanioka, Dietmar Frey, "Generative modeling of the Circle of Willis using 3D-StyleGAN", NeuroImage, Volume 304, 2024, 120936, ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2024.120936.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19070734 |
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| publishDate | 2026 |
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| spellingShingle | TOF-MRA Circle of Willis generation with StyleGANv2 Aydin, Orhun Utku Hilbert, Adam Frey, Dietmar Style-GAN Circle of WIllis Generative AI TOF-MRA <p>Open-source StyleGANv2 weights for generating 256x256x4 volumes of TOF-MRA images centered on the Circle of Willis. Model was developed in the frame of the ANONY-MED project, instructions for running inference are available at:<br>https://github.com/claim-berlin/ANONYMED-demonstrators/tree/main/1_STROKE/1_DATA_SYNTHESIS/local_stylegan</p> <p>The current model is derived from a previous publication (Aydin, et.al. 2024). It excludes all TOF-MRA datasets that are not licensed for direct download/access and adds more recent published TOF-MRA datasets. The model was trained on the following datasets:</p> <ul> <li>RSNA_Aneurysm_Detection Dataset: 1076 scans</li> <li>NITRC Dataset : 56 scans</li> <li>IXI Dataset: 327 scans</li> <li>Lausanne Dataset: 287 scans</li> <li>Royal Brisbane Dataset: 56 scans</li> <li>TopCoW Dataset: 130 scans</li> </ul> <p>Thus, this model is a direct result of the paper's contribution and the authors would appreciate citing the original paper when using this model in any scientific publicaiton:<br>Orhun Utku Aydin, Adam Hilbert, Alexander Koch, Felix Lohrke, Jana Rieger, Satoru Tanioka, Dietmar Frey, "Generative modeling of the Circle of Willis using 3D-StyleGAN", NeuroImage, Volume 304, 2024, 120936, ISSN 1053-8119, https://doi.org/10.1016/j.neuroimage.2024.120936.</p> |
| title | TOF-MRA Circle of Willis generation with StyleGANv2 |
| topic | Style-GAN Circle of WIllis Generative AI TOF-MRA |
| url | https://doi.org/10.5281/zenodo.19070734 |