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Found 3 papers, 1 papers with code
Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks
The current standard method for estimating it is subject to high inter- and intra-rater variability, and an automated method for segmentation of residual tumor in early post-operative MRI could lead to a more accurate estimation of extent of resection.
Covered Information Disentanglement: Model Transparency via Unbiased Permutation Importance
One of the most popular approaches to explain model global predictions is the permutation importance where the performance on permuted data is benchmarked against the baseline.
Interpretable Models via Pairwise permutations algorithm
One of the most common pitfalls often found in high dimensional biological data sets are correlations between the features.
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