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Found 2 papers, 2 papers with code
Deep and interpretable regression models for ordinal outcomes
We present ordinal neural network transformation models (ONTRAMs), which unite DL with classical ordinal regression approaches.
Integrating uncertainty in deep neural networks for MRI based stroke analysis
For patient-level diagnoses, different aggregation methods are proposed and evaluated, which combine the single image-level predictions.
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