most citedAMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation

1 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2024★ 1 cited

AMAES: Augmented Masked Autoencoder Pretraining on Public Brain MRI Data for 3D-Native Segmentation

Asbjørn Munk, Jakob Ambsdorf, Sebastian Llambias +1

This study investigates the impact of self-supervised pretraining of 3D semantic segmentation models on a large-scale, domain-specific dataset. We introduce BRAINS-45K, a dataset o…

cs.CV2024★ 1 cited

Yucca: A Deep Learning Framework For Medical Image Analysis

Sebastian Nørgaard Llambias, Julia Machnio, Asbjørn Munk +3

Medical image analysis using deep learning frameworks has advanced healthcare by automating complex tasks, but many existing frameworks lack flexibility, modularity, and user-frien…