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

2 citations · 3 across the 2 of their papers we have counts for

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cs.CV2025★ 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★ 2 cited

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…