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Found 3 papers, 3 papers with code
SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis
Our method outperforms existing SFDA approaches across a range of realistic data scenarios, demonstrating the potential utility of our approach for MRI harmonisation and general SFDA problems.
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.
Challenges for machine learning in clinical translation of big data imaging studies
The combination of deep learning image analysis methods and large-scale imaging datasets offers many opportunities to imaging neuroscience and epidemiology.
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