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Pseudo-domains in imaging data improve prediction of future disease status in multi-center studies
In multi-center randomized clinical trials imaging data can be diverse due to acquisition technology or scanning protocols.
Unsupervised deep clustering for predictive texture pattern discovery in medical images
Predictive marker patterns in imaging data are a means to quantify disease and progression, but their identification is challenging, if the underlying biology is poorly understood.
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