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Deep learning-based unlearning of dataset bias for MRI harmonisation and confound removal
Increasingly large MRI neuroimaging datasets are becoming available, including many highly multi-site multi-scanner datasets. Combining the data from the different scanners is vital for increased statistical power; however, this leads to an increase in variance due to nonbiological factors such as t...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Academic Press
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7903160/ https://www.ncbi.nlm.nih.gov/pubmed/33385551 http://dx.doi.org/10.1016/j.neuroimage.2020.117689 |