Identifying abnormal brain atrophy in Alzheimer’s Disease using deep learning‐based MRI
Our deep learning model successfully identified individuals with abnormal, high rates of cortical atrophy from baseline imaging. This approach provides a sensitive biomarker to capture individual differences in disease progression, potentially aiding in subject selection and monitoring in clinical trials.
Authors
- Audrey P. Fan (ORCID: https://orcid.org/0000-0001-5850-6117)
- Duygu Tosun (ORCID: https://orcid.org/0000-0001-5174-3910)
- Linh N. N. Le (ORCID: https://orcid.org/0000-0002-5920-9920)
- Evan Fletcher
- Jinyi Qi
Institutions
- University of California, San Francisco (US)
- University of California, Davis (US)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70861_108230
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00