1.2k citations · 1.4k across the 9 of their papers we have counts for
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eess.IV2019★ 2 cited
Relevance analysis of MRI sequences for automatic liver tumor segmentation
Grzegorz Chlebus, Nasreddin Abolmaali, Andrea Schenk +1
Explainability of decisions made by deep neural networks is of high value as it allows for validation and improvement of models. This work proposes an approach to explain semantic…
cs.CV2019★ 1.2k cited
The Liver Tumor Segmentation Benchmark (LiTS)
Patrick Bilic, Patrick Christ, Hongwei Bran Li +106
In this work, we report the set-up and results of the Liver Tumor Segmentation Benchmark (LiTS), which was organized in conjunction with the IEEE International Symposium on Biomedi…