most citedSemantic-aware Random Convolution and Source Matching for Domain Generalization in Medical Image Segmentation

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

collaborators
Showing cs.CVShow all

2 papers · 1 filter

cs.CV2026★ 1 cited

Semantic-aware Random Convolution and Source Matching for Domain Generalization in Medical Image Segmentation

Franz Thaler, Martin Urschler, Mateusz Kozinski +3

We tackle the challenging problem of single-source domain generalization (DG) for medical image segmentation, where we train a network on one domain (e.g., CT) and directly apply i…

cs.CV2025

Augmentation-based Domain Generalization and Joint Training from Multiple Source Domains for Whole Heart Segmentation

Franz Thaler, Darko Stern, Gernot Plank +1

As the leading cause of death worldwide, cardiovascular diseases motivate the development of more sophisticated methods to analyze the heart and its substructures from medical imag…