aBEAT: a toolbox for consistent analysis of longitudinal adult brain MRI.
Longitudinal brain image analysis is critical for revealing subtle but complex structural and functional changes of brain during aging or in neurodevelopmental disease. However, even with the rapid increase of clinical research and trials, a software toolbox dedicated for longitudinal image analysis...
Guardado en:
Autores principales: | Yakang Dai, Yaping Wang, Li Wang, Guorong Wu, Feng Shi, Dinggang Shen, Alzheimer’s Disease Neuroimaging Initiative |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2013
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f0692941f1904d52a2b329a4332b1af0 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Predicting future clinical changes of MCI patients using longitudinal and multimodal biomarkers.
por: Daoqiang Zhang, et al.
Publicado: (2012) -
Identification of Disease-Related Genes That Are Common between Alzheimer’s and Cardiovascular Disease Using Blood Genome-Wide Transcriptome Analysis
por: Taesic Lee, et al.
Publicado: (2021) -
Correlation between Alzheimer’s disease and type 2 diabetes using non-negative matrix factorization
por: Yeonwoo Chung, et al.
Publicado: (2021) -
Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer’s Disease via Fusion of Clinical, Imaging and Omic Features
por: Asha Singanamalli, et al.
Publicado: (2017) -
Glucose metabolism during resting state reveals abnormal brain networks organization in the Alzheimer's disease and mild cognitive impairment.
por: Gretel Sanabria-Diaz, et al.
Publicado: (2013)