11 citations · 16 across the 6 of their papers we have counts for
6 papers
Evaluation Framework for Computer Vision-Based Guidance of the Visually Impaired
Krešimir Romić, Irena Galić, Marija Habijan +1
Visually impaired persons have significant problems in their everyday movement. Therefore, some of our previous work involves computer vision in developing assistance systems for g…
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…
Generation of Artificial CT Images using Patch-based Conditional Generative Adversarial Networks
Marija Habijan, Irena Galic
Deep learning has a great potential to alleviate diagnosis and prognosis for various clinical procedures. However, the lack of a sufficient number of medical images is the most com…
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…
Epicardial Adipose Tissue Segmentation from CT Images with A Semi-3D Neural Network
Marin Benčević, Marija Habijan, Irena Galić
Epicardial adipose tissue is a type of adipose tissue located between the heart wall and a protective layer around the heart called the pericardium. The volume and thickness of epi…