ReMiND: Recovery of Missing Neuroimaging using Diffusion Models with Application to Alzheimer’s Disease

OBJECTIVE: Missing data is a significant challenge in medical research. In longitudinal studies of Alzheimer’s disease (AD) where structural magnetic resonance imaging (MRI) is collected from individuals at multiple time points, participants may miss a study visit or drop out. Additionally, technica...

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Detalles Bibliográficos
Autores principales: Yuan, Chenxi, Duan, Jinhao, Tustison, Nicholas J., Xu, Kaidi, Hubbard, Rebecca A., Linn, Kristin A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473806/
https://www.ncbi.nlm.nih.gov/pubmed/37662259
http://dx.doi.org/10.1101/2023.08.16.23294169

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10473806/
https://www.ncbi.nlm.nih.gov/pubmed/37662259
http://dx.doi.org/10.1101/2023.08.16.23294169

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