Predicting Amyloid Burden Using a Masked Multimodal‐Multitask Deep Learning Framework with Latent Diffusion‐based Synthetic PET
By reducing reliance on cost-intensive PET scans and handling missing data more effectively, our framework could substantially broaden access to early AD screening in diverse clinical settings. Future work will involve testing in larger, more varied cohorts, applying different tracers, and further evaluate its real-world impact on AD management.
Authors
- Seungjun Lee
- Geon‐Ho Jahng
- Seung Hyun Lee
Institutions
- Kyung Hee University (KR)
- Seoil University (KR)
- Kyung Hee University Hospital at Gangdong (KR)
Publication Details
- Journal
- Alzheimer s & Dementia
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1002/alz70856_097276
- Primary Topic
- Dementia and Cognitive Impairment Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00