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2020 – today
- 2025
[j4]Tijana Geroski, Vesna Rankovic, Ognjen Pavic, Lazar Dasic, Marina Petrovic, Dragan Milovanovic, Nenad Filipovic:
Enhancing COVID-19 disease severity classification through advanced transfer learning techniques and optimal weight initialization schemes. Biomed. Signal Process. Control. 100: 107103 (2025)- 2024
- [j3]Tijana Geroski, Ognjen Pavic, Lazar Dasic, Dragan Milovanovic, Marina Petrovic, Nenad Filipovic:
SoftLungX: leveraging transfer learning with convolutional neural networks for accurate respiratory disease classification in chest X-ray images. J. Big Data 11(1): 146 (2024) - 2023
- [c1]Lazar Dasic, Ognjen Pavic, Tijana Geroski, Dragan Milovanovic, Marina Petrovic, Nenad Filipovic:
Transfer Learning with Deep Convolutional Neural Networks for Respiratory Disease Classification in X-Ray Images. BIBE 2023: 176-180 - 2021
- [j2]Andela Blagojevic, Tijana Sustersic
, Ivan Lorencin, Sandi Baressi Segota, Nikola Andelic, Dragan Milovanovic, Danijela Baskic, Dejan Baskic, Natasa Zdravkovic Petrovic, Predrag Sazdanovic, Zlatan Car, Nenad Filipovic:
Artificial intelligence approach towards assessment of condition of COVID-19 patients - Identification of predictive biomarkers associated with severity of clinical condition and disease progression. Comput. Biol. Medicine 138: 104869 (2021)
2010 – 2019
- 2019
- [j1]Aleksa Srdanov, Radisa Stefanovic, Aleksandra Jankovic, Dragan Milovanovic:
"Reducing the number of dimensions of the possible solution space" as a method for finding the exact solution of a system with a large number of unknowns. Math. Found. Comput. 2(2): 83-93 (2019)
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