Research ArticleArtificial Intelligence
Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach
Shahriar Faghani, Mana Moassefi, Ajay A. Madhavan, Ian T. Mark, Jared T. Verdoorn, Bradley J. Erickson and John C. Benson
American Journal of Neuroradiology April 2024, 45 (4) 439-443; DOI: https://doi.org/10.3174/ajnr.A8173
Shahriar Faghani
aFrom the Radiology Informatics Lab, Department of Radiology, Mayo Clinic, Rochester, Minnesota
Mana Moassefi
aFrom the Radiology Informatics Lab, Department of Radiology, Mayo Clinic, Rochester, Minnesota
Ajay A. Madhavan
bDepartment of Radiology, Mayo Clinic, Rochester, Minnesota.
Ian T. Mark
bDepartment of Radiology, Mayo Clinic, Rochester, Minnesota.
Jared T. Verdoorn
bDepartment of Radiology, Mayo Clinic, Rochester, Minnesota.
Bradley J. Erickson
aFrom the Radiology Informatics Lab, Department of Radiology, Mayo Clinic, Rochester, Minnesota
John C. Benson
bDepartment of Radiology, Mayo Clinic, Rochester, Minnesota.

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In this issue
American Journal of Neuroradiology
Vol. 45, Issue 4
1 Apr 2024
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Shahriar Faghani, Mana Moassefi, Ajay A. Madhavan, Ian T. Mark, Jared T. Verdoorn, Bradley J. Erickson, John C. Benson
Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach
American Journal of Neuroradiology Apr 2024, 45 (4) 439-443; DOI: 10.3174/ajnr.A8173
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