DeepComBat: A Statistically Motivated, Hyperparameter-Robust, Deep Learning Approach to Harmonization of Neuroimaging Data

Neuroimaging data from multiple batches (i.e. acquisition sites, scanner manufacturer, datasets, etc.) are increasingly necessary to gain new insights into the human brain. However, multi-batch data, as well as extracted radiomic features, exhibit pronounced technical artifacts across batches. These...

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Detalles Bibliográficos
Autores principales: Hu, Fengling, Lucas, Alfredo, Chen, Andrew A., Coleman, Kyle, Horng, Hannah, Ng, Raymond W.S., Tustison, Nicholas J., Davis, Kathryn A., Shou, Haochang, Li, Mingyao, Shinohara, Russell T.
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/PMC10168207/
https://www.ncbi.nlm.nih.gov/pubmed/37163042
http://dx.doi.org/10.1101/2023.04.24.537396

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168207/
https://www.ncbi.nlm.nih.gov/pubmed/37163042
http://dx.doi.org/10.1101/2023.04.24.537396

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