Gorana Gojic

According to our database, Gorana Gojic authored at least 7 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Overview of Deep Learning Methods for Retinal Vessel Segmentation.

Gorana Gojic, Ognjen Kundacina, Dragisa Miskovic, Dinu Dragan

CoRR, 2023

Non-adversarial Robustness of Deep Learning Methods for Computer Vision.

Gorana Gojic, Vladimir Vincan, Ognjen Kundacina, Dragisa Miskovic, Dinu Dragan

CoRR, 2023

Supporting Future Electrical Utilities: Using Deep Learning Methods in EMS and DMS Algorithms.

Ognjen Kundacina, Gorana Gojic, Mile Mitrovic, Dragisa Miskovic, Dejan Vukobratovic

CoRR, 2023

Scalability and Sample Efficiency Analysis of Graph Neural Networks for Power System State Estimation.

Ognjen Kundacina, Gorana Gojic, Mirsad Cosovic, Dragisa Miskovic, Dejan Vukobratovic

CoRR, 2023

2022

Comparing the Clinical Viability of Automated Fundus Image Segmentation Methods.

Gorana Gojic, Veljko B. Petrovic, Dinu Dragan, Dusan B. Gajic, Dragisa Miskovic, Vladislav Dzinic, Zorka Grgic, Jelica Pantelic, Ana Oros

Sensors, 2022

Robustness of deep learning methods for ocular fundus segmentation: Evaluation of blur sensitivity.

Veljko B. Petrovic, Gorana Gojic, Dinu Dragan, Dusan B. Gajic, Nebojsa Horvat, Radovan Lj. Turovic, Ana Oros

Concurr. Comput. Pract. Exp., 2022

2020

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

Gorana Gojic, Veljko B. Petrovic, Radovan Lj. Turovic, Dinu Dragan, Ana Oros, Dusan B. Gajic, Nebojsa Horvat

Proceedings of the 18th IEEE International Symposium on Intelligent Systems and Informatics, 2020