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...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Dinsdale, N, Jenkinson, M, Namburete, A
स्वरूप: Conference item
भाषा:English
प्रकाशित: Springer 2022

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