A Neural Network Approach to Identify Left–Right Orientation of Anatomical Brain MRI
This approach offers a potential solution to the persistent issue of left-right misorientation in brain MRIs and supports the reliability of neuroscientific research by ensuring accurate data interpretation.
Authors
- Kenichi Oishi (ORCID: https://orcid.org/0000-0002-1200-8611)
- Hitoshi Iyatomi (ORCID: https://orcid.org/0000-0003-4108-4178)
- Kei Nishimaki (ORCID: https://orcid.org/0009-0000-7475-9667)
Institutions
- Johns Hopkins University (US)
- Hosei University (JP)
- Johns Hopkins Medicine (US)
- Precision for Medicine (United States) (US)
Publication Details
- Journal
- Brain and Behavior
- Published
- 2025-02-01
- DOI
- https://doi.org/10.1002/brb3.70299
- Primary Topic
- Advanced Neuroimaging Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Defense
- Alzheimer's Association
- Bristol-Myers Squibb
- Eli Lilly and Company
- Pfizer
- Biogen
- University of Southern California
- F. Hoffmann-La Roche
- Meso Scale Diagnostics
- Alzheimer's Disease Neuroimaging Initiative
- BioClinica
- Novartis Pharmaceuticals Corporation
- Northern California Institute for Research and Education
- Eisai
- Servier
- H. Lundbeck A/S
- IXICO
- National Institutes of Health
- Genentech
- Canadian Institutes of Health Research