Unlearning scanner bias for MRI harmonisation
Combining datasets is vital for increased statistical power, especially for neurological conditions where limited data is available. However, variance due to differences in acquisition protocol and hardware limits our ability to combine datasets. We propose an iterative training scheme based on doma...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2020
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