Automatic Classification of Head MR Series
We implemented an automatic series type classifier with labels chosen to be generally useful for the brain MRI community. Some errors were noted, but the test set was deliberately challenging and the errors appear to be ones that could easily be made by a human. The classifier is expected to have good tolerance for as yet unseen head MR protocols but is likely unsatisfactory for body MRI.
Authors
- Robert I. Reid (ORCID: https://orcid.org/0000-0003-2391-8650)
- Petrice M. Cogswell (ORCID: https://orcid.org/0000-0002-8128-4476)
- Orhun H. Kantarci (ORCID: https://orcid.org/0000-0001-7038-8133)
- Robel K Gebre (ORCID: https://orcid.org/0000-0002-5746-0994)
- Burcu Zeydan (ORCID: https://orcid.org/0000-0002-2270-9868)
- Matthew L. Senjem (ORCID: https://orcid.org/0000-0001-9308-9275)
- Michael G. Kamykowski (ORCID: https://orcid.org/0000-0002-3108-7618)
- Arvin Arani (ORCID: https://orcid.org/0000-0001-6607-8781)
- C. R. Jack
- Kejal Kantarci
- Prashanthi Vemuri
Institutions
- Mayo Clinic in Arizona (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70862_109882
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00