Publications
- N. Anđelić, S. Baressi Šegota, I. Lorencin, V. Mrzljak, Z. Car (Forthcoming). Estimation of COVID-19 Epidemic Curves Using Genetic Programming Algorithm. Health Informatics Journal, SAGE Publications, ISBN: 1460-4582 (journal article, accepted for publication on 6.11.2020.) LINK
- Lorencin I., Baressi Šegota S., Anđelić N., Blagojević A., Šušteršič T., Protić A., Arsenijević M., Ćabov T., Filipović N., Car Z.; Automatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks; Journal of Personalized Medicine LINK
- Anđelić N., Baressi Šegota S., Lorencin I., Jurilj Z., Šušteršič T., Blagojević A., Protić A., Ćabov T., Filipović N., Car Z.; Estimation of COVID-19 Epidemiology Curve of the United States Using Genetic Programming Algorithm, International Journal of Environmental Research and Public Health LINK
- Blagojević, A., Šušteršič, T., Lorencin, I., & Filipović, N. (2021). Use of Regressive Artificial Intelligence and Machine Learning Methods in Modelling of COVID-19 Spread (COVIDAi): Project Review. Ri-STEM-2021, 1. LINK
- Štifanić, D., Musulin, J., Jurilj, Z., Šegota, S., Lorencin, I., Anđelić, N., … & Car, Z. (2021). Semantic segmentation of chest X-ray images based on the severity of COVID-19 infected patients. EAI Endorsed Transactions on Bioengineering and Bioinformatics, 1, e3. LINK
- Šegota, S. B., Lorencin, I., Anđelić, N., Štifanić, D., Musulin, J., Vlahinić, S., … & Car, Z. (2021). Automated Pipeline for Continual Data Gathering and Retraining of the Machine Learning-Based COVID-19 Spread Models. LINK
- Musulin, J., Baressi Šegota, S., Štifanić, D., Lorencin, I., Anđelić, N., Šušteršič, T., … & Markova-Car, E. (2021). Application of Artificial Intelligence-Based Regression Methods in the Problem of COVID-19 Spread Prediction: A Systematic Review. International Journal of Environmental Research and Public Health, 18(8), 4287. LINK
- Blagojević, A., Šušteršič, T., Lorencin, I., Šegota, S. B., Milovanović, D., Baskić, D., … & Filipović, N. (2021). Combined machine learning and finite element simulation approach towards personalized model for prognosis of COVID-19 disease development in patients. EAI Endorsed Transactions on Bioengineering and Bioinformatics, 1(2), e6. LINK
- Šušteršič, T., Blagojević, A., Cvetković, D., Cvetković, A., Lorencin, I., Šegota, S., Car, Z., Filipović, N. Epidemiological predictive modelling of COVID-19 spread. 8th Interantional Congress of Serbian Society of Mechanics, Kragujevac, Serbia, June 28-30, 2021, pp. 413-414 LINK
- Blagojević, A., Šušteršič, T., Lorencin, I., Baressi Šegota, S., Anđelić, N., Milovanović, D., Baskić, D., Baskić, D., Zdravković Petrović, N., Sazdanović, P., Car, Z., Filipović, N. (2021). Artificial intelligence approach towards assessment of condition of COVID-19 patients – Identification of predictive biomarkers associated with severity of clinical condition and disease progression. Computers in Biology and Medicine. vol. 138, pp. 104869. LINK
- Šušteršič, T., Blagojević, A., Cvetković, D., Cvetković, A., Lorencin, I., Baressi Šegota, S., Milovanović, D., Baskić, D., Car, Z., Filipović, N. (2021). Epidemiological Predictive Modeling of COVID-19 Infection: Development, Testing, and Implementation on the Population of the Benelux Union. Frontiers in Public Health. vol. 9, pp. 1567. LINK