most citedUsing the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA Images

2 citations · 5 across the 5 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

eess.IV2022★ 2 cited

Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA Images

Marin Benčević, Marija Habijan, Irena Galić +1

Medical image segmentation often requires segmenting multiple elliptical objects on a single image. This includes, among other tasks, segmenting vessels such as the aorta in axial…

eess.IV2022★ 1 cited

A Survey of Left Atrial Appendage Segmentation and Analysis in 3D and 4D Medical Images

Hrvoje Leventić, Marin Benčević, Danilo Babin +2

Atrial fibrillation (AF) is a cardiovascular disease identified as one of the main risk factors for stroke. The majority of strokes due to AF are caused by clots originating in the…