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Research ArticleARTIFICIAL INTELLIGENCE

Accuracy of an nnUNet Neural Network for the Automatic Segmentation of Intracranial Aneurysms, Their Parent Vessels, and Major Cerebral Arteries from MRI-TOF

Elisa Colombo, Mathijs de Boer, Lambertus Bartels, Luca Regli and Tristan van Doormaal
American Journal of Neuroradiology April 2025, DOI: https://doi.org/10.3174/ajnr.A8607
Elisa Colombo
aFrom the Department of Neurosurgery and Clinical Neurocenter (E.C., L.R., T.v.D.), University Hospital of Zurich, Zurich, Switzerland
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  • ORCID record for Elisa Colombo
Mathijs de Boer
bImage Sciences Institute, Imaging and Oncology Division (M.d.B., L.B.), University Medical Center, Utrecht, the Netherlands
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Lambertus Bartels
bImage Sciences Institute, Imaging and Oncology Division (M.d.B., L.B.), University Medical Center, Utrecht, the Netherlands
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Luca Regli
aFrom the Department of Neurosurgery and Clinical Neurocenter (E.C., L.R., T.v.D.), University Hospital of Zurich, Zurich, Switzerland
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Tristan van Doormaal
aFrom the Department of Neurosurgery and Clinical Neurocenter (E.C., L.R., T.v.D.), University Hospital of Zurich, Zurich, Switzerland
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Cite this article
Elisa Colombo, Mathijs de Boer, Lambertus Bartels, Luca Regli, Tristan van Doormaal
Accuracy of an nnUNet Neural Network for the Automatic Segmentation of Intracranial Aneurysms, Their Parent Vessels, and Major Cerebral Arteries from MRI-TOF
American Journal of Neuroradiology Apr 2025, DOI: 10.3174/ajnr.A8607

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Aneurysm Segmentation on MRI-TOF with AI
Elisa Colombo, Mathijs de Boer, Lambertus Bartels, Luca Regli, Tristan van Doormaal
American Journal of Neuroradiology Apr 2025, DOI: 10.3174/ajnr.A8607
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