Search Results - "Gojic, Gorana"

Comparing the Clinical Viability of Automated Fundus Image Segmentation Methods by Gojić, Gorana, Petrović, Veljko B, Dragan, Dinu, Gajić, Dušan B, Mišković, Dragiša, Džinić, Vladislav, Grgić, Zorka, Pantelić, Jelica, Oros, Ana

“…Recent methods for automatic blood vessel segmentation from fundus images have been commonly implemented as convolutional neural networks. While these networks…”
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An End-to-End Deep Learning Method for Voltage Sag Classification by Turović, Radovan, Dragan, Dinu, Gojić, Gorana, Petrović, Veljko B., Gajić, Dušan B., Stanisavljević, Aleksandar M., Katić, Vladimir A.

“…Power quality disturbances (PQD) have a negative impact on power quality-sensitive equipment, often resulting in great financial losses. To prevent these…”
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Robustness of deep learning methods for ocular fundus segmentation: Evaluation of blur sensitivity by Petrović, Veljko B., Gojić, Gorana, Dragan, Dinu, Gajić, Dušan B., Horvat, Nebojša, Turović, Radovan, Oros, Ana

“…This article analyzes the sensitivity of deep learning methods for ocular fundus segmentation. We use an empirical methodology based on non‐adversarial…”
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Automatic corrections of human body depth maps using deep neural networks by Gojic, Gorana, Turovic, Radovan, Dragan, Dinu, Gajic, Dusan, Petrovic, Veljko

“…This paper presents an approach to correcting misclassified pixels in depth maps representing parts of the human body. A misclassified pixel is a pixel of a…”
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Non-adversarial Robustness of Deep Learning Methods for Computer Vision by Gojic, Gorana, Vincan, Vladimir, Kundacina, Ognjen, Miskovic, Dragisa, Dragan, Dinu

“…Non-adversarial robustness, also known as natural robustness, is a property of deep learning models that enables them to maintain performance even when faced…”
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Comparative evaluation of keypoint detectors for 3d digital avatar reconstruction by Gajic, Dusan, Gojic, Gorana, Dragan, Dinu, Petrovic, Veljko

“…Three-dimensional personalized human avatars have been successfully utilized in shopping, entertainment, education, and health applications. However, it is…”
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Scalability and Sample Efficiency Analysis of Graph Neural Networks for Power System State Estimation by Kundacina, Ognjen, Gojic, Gorana, Cosovic, Mirsad, Miskovic, Dragisa, Vukobratovic, Dejan

“…Data-driven state estimation (SE) is becoming increasingly important in modern power systems, as it allows for more efficient analysis of system behaviour…”
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Supporting Future Electrical Utilities: Using Deep Learning Methods in EMS and DMS Algorithms by Kundacina, Ognjen, Gojic, Gorana, Miskovic, Dragisa, Mitrovic, Mile, Vukobratovic, Dejan

“…Electrical power systems are increasing in size, complexity, as well as dynamics due to the growing integration of renewable energy resources, which have…”
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Supporting Future Electrical Utilities: Using Deep Learning Methods in EMS and DMS Algorithms by Kundacina, Ognjen, Gojic, Gorana, Mitrovic, Mile, Miskovic, Dragisa, Vukobratovic, Dejan

“…Electrical power systems are increasing in size, complexity, as well as dynamics due to the growing integration of renewable energy resources, which have…”
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Scalability and Sample Efficiency Analysis of Graph Neural Networks for Power System State Estimation by Kundacina, Ognjen, Gojic, Gorana, Cosovic, Mirsad, Miskovic, Dragisa, Vukobratovic, Dejan

“…Data-driven state estimation (SE) is becoming increasingly important in modern power systems, as it allows for more efficient analysis of system behaviour…”
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Training an LSTM Voltage Sags Classificator on a Synthetic Dataset by Turovic, Radovan, Dragan, Dinu, Stanisavljevic, Aleksandar, Gojic, Gorana, Petrovic, Veljko, Katic, Vladimir, Gajic, Dusan

“…In this paper, an end-to-end deep learning method for voltage sag classification using a Long Short-Term Memory (LSTM) neural network is proposed. The network…”
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Deep Learning Methods for Retinal Blood Vessel Segmentation: Evaluation on Images with Retinopathy of Prematurity by Gojic, Gorana, Petrovic, Veljko, Turovic, Radovan, Dragan, Dinu, Oros, Ana, Gajic, Dusan, Horvat, Nebojsa

“…Automatic blood vessel segmentation from retinal images plays an important role in the diagnosis of many systemic and eye diseases, including retinopathy of…”
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Robustness of Deep Learning Methods for Ocular Fundus Segmentation: Evaluation of Blur Sensitivity by Petrovic, Veljko, Gojic, Gorana, Dragan, Dinu, Gajic, Dusan, Horvat, Nebojsa, Turovic, Radovan, Oros, Ana

“…This paper analyzes the sensitivity of deep learning methods for ocular fundus segmentation. We use an empirical methodology based on non-adversarial perturbed…”
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Overview of Deep Learning Methods for Retinal Vessel Segmentation by Gojić, Gorana, Kundačina, Ognjen, Mišković, Dragiša, Dragan, Dinu

“…Methods for automated retinal vessel segmentation play an important role in the treatment and diagnosis of many eye and systemic diseases. With the fast…”
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Non-adversarial Robustness of Deep Learning Methods for Computer Vision by Gojić, Gorana, Vincan, Vladimir, Kundačina, Ognjen, Mišković, Dragiša, Dragan, Dinu

“…Non-adversarial robustness, also known as natural robustness, is a property of deep learning models that enables them to maintain performance even when faced…”
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Deep Learning Methods for Retinal Blood Vessel Segmentation: Evaluation on Images with Retinopathy of Prematurity by Gojić, Gorana, Petrović, Veljko, Turović, Radovan, Dragan, Dinu, Oros, Ana, Gajić, Dušan, Horvat, Nebojša

“…Proceedings of 18th International Symposium on Intelligent Systems and Informatics (SISY), IEEE, 2020, pp. 131-136 Automatic blood vessel segmentation from…”
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