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20172024
most citedStandardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge

309 citations · 311 across the 11 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

eess.IV2022★ 1 cited

Exploring Structure-Wise Uncertainty for 3D Medical Image Segmentation

Anton Vasiliuk, Daria Frolova, Mikhail Belyaev +1

When applying a Deep Learning model to medical images, it is crucial to estimate the model uncertainty. Voxel-wise uncertainty is a useful visual marker for human experts and could…

eess.IV2022

Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency

Stanislav Shimovolos, Andrey Shushko, Mikhail Belyaev +1

Deep learning methods provide significant assistance in analyzing coronavirus disease (COVID-19) in chest computed tomography (CT) images, including identification, severity assess…