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 (SISY, 2020)

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)

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)

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)

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)

Non-adversarial Robustness of Deep Learning Methods for Computer Vision. - Gorana Gojic; Vladimir Vincan; Ognjen Kundacina; Dragisa Miskovic; Dinu Dragan (CoRR, 2023)

Overview of Deep Learning Methods for Retinal Vessel Segmentation. - Gorana Gojic; Ognjen Kundacina; Dragisa Miskovic; Dinu Dragan (CoRR, 2023)

Conformal Anomaly Detection for Predictive Maintenance in Thermal Power Plants. - Ognjen Kundacina; Vladimir Vincan; Gorana Gojic; Vukan Ninkovic; Dragisa Miskovic (IEEE Access, 2025)

PyMED-DX: A Python tool for diagnostic value evaluation of 2D medical images. - Gorana Gojic; Vladimir Vincan; Ognjen Kundacina; Sasa Talosi; Dragisa Miskovic (SoftwareX, 2025)

Improving customer service with automatic topic detection in user emails. - Bojana Basaragin; Darija Medvecki; Gorana Gojic; Milena Oparnica; Dragisa Miskovic (CoRR, 2025)