activity
20202024
most citedAchieving state-of-the-art performance in the Medical Out-of-Distribution (MOOD) challenge using plausible synthetic anomalies

3 citations · 3 across the 7 of their papers we have counts for

collaborators
Showing 2022Show all

1 paper · 1 filter

eess.IV2022

Implicit U-Net for volumetric medical image segmentation

Sergio Naval Marimont, Giacomo Tarroni

U-Net has been the go-to architecture for medical image segmentation tasks, however computational challenges arise when extending the U-Net architecture to 3D images. We propose th…