26 citations · 29 across the 5 of their papers we have counts for
3 papers · 1 filter
Segmentation of the aorta in 4D flow MRI using 4D convolutional kernels and learning from sparse annotations
Hinrich Rahlfs, Julio Garcia, Chiara Manini +13
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 deve…
Carotid Artery Plaque Analysis in 3D Based on Distance Encoding in Mesh Representations
Hinrich Rahlfs, Markus Hüllebrand, Sebastian Schmitter +3
Purpose: Enabling a comprehensive and robust assessment of carotid artery plaques in 3D through extraction and visualization of quantitative plaque parameters. These parameters hav…
Learning Wall Segmentation in 3D Vessel Trees using Sparse Annotations
Hinrich Rahlfs, Markus Hüllebrand, Sebastian Schmitter +3
We propose a novel approach that uses sparse annotations from clinical studies to train a 3D segmentation of the carotid artery wall. We use a centerline annotation to sample perpe…