2 papers
cs.CV2026
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…
physics.med-ph2022
Bioelectric Registration of Electromagnetic Tracking and Preoperative Volume Data
Ardit Ramadani, Heiko Maier, Felix Bourier +4
For minimally invasive endovascular surgery, the localization of catheters and guidewires inside the human body is essential. Electromagnetic (EM) tracking is one technology that a…