Classification of multi-site MR images in the presence of heterogeneity using multi-task learning()

With the advent of Big Data Imaging Analytics applied to neuroimaging, datasets from multiple sites need to be pooled into larger samples. However, heterogeneity across different scanners, protocols and populations, renders the task of finding underlying disease signatures challenging. The current w...

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Detalles Bibliográficos
Autores principales: Ma, Qiongmin, Zhang, Tianhao, Zanetti, Marcus V., Shen, Hui, Satterthwaite, Theodore D., Wolf, Daniel H., Gur, Raquel E., Fan, Yong, Hu, Dewen, Busatto, Geraldo F., Davatzikos, Christos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029565/
https://www.ncbi.nlm.nih.gov/pubmed/29984156
http://dx.doi.org/10.1016/j.nicl.2018.04.037

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6029565/
https://www.ncbi.nlm.nih.gov/pubmed/29984156
http://dx.doi.org/10.1016/j.nicl.2018.04.037

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