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Found 4 papers, 3 papers with code
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain
Our results underscore the value of efforts needed to translate FL into real-world applications by demonstrating advantageous performance over alternatives, and emphasize the importance of strategic organization, robust management of distributed data and infrastructure in real-world settings.
atTRACTive: Semi-automatic white matter tract segmentation using active learning
The method is evaluated on 21 openly available healthy subjects from the Human Connectome Project and an internal dataset of ten neurosurgical cases.
Combined tract segmentation and orientation mapping for bundle-specific tractography
It is based on a learned mapping from the original fiber orientation distribution function (FOD) peaks to tract specific peaks, called tract orientation maps.
TractSeg - Fast and accurate white matter tract segmentation
The individual course of white matter fiber tracts is an important key for analysis of white matter characteristics in healthy and diseased brains.
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