activity
20232026
most citedOverview of Deep Learning Methods for Retinal Vessel Segmentation

1 citations · 2 across the 4 of their papers we have counts for

collaborators

5 papers

eess.SP2026

Task-Oriented Wireless Transmission of 3D Point Clouds: Geometric Versus Semantic Robustness

Vukan Ninkovic, Tamara Sobot, Vladimir Vincan +3

Wireless transmission of high-dimensional 3D point clouds (PCs) is increasingly required in industrial collaborative robotics systems. Conventional compression methods prioritize g…

cs.CL2025

Improving Customer Service with Automatic Topic Detection in User Emails

Bojana Bašaragin, Darija Medvecki, Gorana Gojić +2

This study introduces a novel natural language processing pipeline that enhances customer service efficiency at Telekom Srbija, a leading Serbian telecommunications company, throug…

eess.IV2023

Deep Learning Methods for Retinal Blood Vessel Segmentation: Evaluation on Images with Retinopathy of Prematurity

Gorana Gojić, Veljko Petrović, Radovan Turović +4

Automatic blood vessel segmentation from retinal images plays an important role in the diagnosis of many systemic and eye diseases, including retinopathy of prematurity. Current st…

eess.IV20231 cited

Overview of Deep Learning Methods for Retinal Vessel Segmentation

Gorana Gojić, Ognjen Kundačina, Dragiša Mišković +1

Methods for automated retinal vessel segmentation play an important role in the treatment and diagnosis of many eye and systemic diseases. With the fast development of deep learnin…

cs.LG20231 cited

Non-adversarial Robustness of Deep Learning Methods for Computer Vision

Gorana Gojić, Vladimir Vincan, Ognjen Kundačina +2

Non-adversarial robustness, also known as natural robustness, is a property of deep learning models that enables them to maintain performance even when faced with distribution shif…