2 citations · 5 across the 3 of their papers we have counts for
3 papers
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…
Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis
Marin Benčević, Marija Habijan, Irena Galić +1
One of the largest problems in medical image processing is the lack of annotated data. Labeling medical images often requires highly trained experts and can be a time-consuming pro…
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…