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 May 2025, 46 (5) 956-963; 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
Mathijs de Boer
bImage Sciences Institute, Imaging and Oncology Division (M.d.B., L.B.), University Medical Center, Utrecht, the Netherlands
Lambertus Bartels
bImage Sciences Institute, Imaging and Oncology Division (M.d.B., L.B.), University Medical Center, Utrecht, the Netherlands
Luca Regli
aFrom the Department of Neurosurgery and Clinical Neurocenter (E.C., L.R., T.v.D.), University Hospital of Zurich, Zurich, Switzerland
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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In this issue
American Journal of Neuroradiology
Vol. 46, Issue 5
1 May 2025
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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 May 2025, 46 (5) 956-963; DOI: 10.3174/ajnr.A8607
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