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Research ArticleADULT BRAIN

Automated Detection of Cerebral Aneurysms on TOF-MRA Using a Deep Learning Approach: An External Validation Study

N.C. Lehnen, R. Haase, F.C. Schmeel, H. Vatter, F. Dorn, A. Radbruch and D. Paech
American Journal of Neuroradiology November 2022, DOI: https://doi.org/10.3174/ajnr.A7695
N.C. Lehnen
aFrom the Department of Neuroradiology (N.C.L., R.H., C.F.S., F.D., A.R., D.P.), University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
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R. Haase
aFrom the Department of Neuroradiology (N.C.L., R.H., C.F.S., F.D., A.R., D.P.), University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
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F.C. Schmeel
aFrom the Department of Neuroradiology (N.C.L., R.H., C.F.S., F.D., A.R., D.P.), University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
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H. Vatter
bDepartment of Neurosurgery (H.V.), University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
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F. Dorn
aFrom the Department of Neuroradiology (N.C.L., R.H., C.F.S., F.D., A.R., D.P.), University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
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A. Radbruch
aFrom the Department of Neuroradiology (N.C.L., R.H., C.F.S., F.D., A.R., D.P.), University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
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D. Paech
aFrom the Department of Neuroradiology (N.C.L., R.H., C.F.S., F.D., A.R., D.P.), University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany.
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Cite this article
N.C. Lehnen, R. Haase, F.C. Schmeel, H. Vatter, F. Dorn, A. Radbruch, D. Paech
Automated Detection of Cerebral Aneurysms on TOF-MRA Using a Deep Learning Approach: An External Validation Study
American Journal of Neuroradiology Nov 2022, DOI: 10.3174/ajnr.A7695

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Automated Detection of Cerebral Aneurysms on TOF-MRA Using a Deep Learning Approach: An External Validation Study
N.C. Lehnen, R. Haase, F.C. Schmeel, H. Vatter, F. Dorn, A. Radbruch, D. Paech
American Journal of Neuroradiology Nov 2022, DOI: 10.3174/ajnr.A7695
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