Segmentation of the aorta in 4D flow MRI using 4D convolutional kernels and learning from sparse annotations
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arXiv:2609.04439v1 Announce Type: new Abstract: Automated aortic segmentation in 4D flow MRI is essential for reproducible hemodynamic assessment but is limited by scarce dense annotations and high computational demands. We developed a fully automated 4D (3D+time) U-Net for segmenting the ascending…
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- 2026-09-07 04:00 · arXiv cs.CV
Segmentation of the aorta in 4D flow MRI using 4D convolutional kernels and learning from sparse annotations