FedHarmony: unlearning scanner bias with distributed data

The ability to combine data across scanners and studies is vital for neuroimaging, to increase both statistical power and the representation of biological variability. However, combining datasets across sites leads to two challenges: first, an increase in undesirable non-biological variance due to s...

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Manylion Llyfryddiaeth
Prif Awduron: Dinsdale, N, Jenkinson, M, Namburete, A
Fformat: Conference item
Iaith:English
Cyhoeddwyd: Springer 2022

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