Pregled po CROSBI profilu: Nenad Filipović (CROSBI Profil: 19554, MBZ: 59022)
Pronađeno 13 radova
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1.Baressi Šegota, Sandi; Blagojević, Anđela; Šušteršić, Tijana; Musulin, Jelena; Štifanić, Daniel; Glučina, Matko; Lorencin, Ivan; Anđelić, Nikola; Filipović, Nenad; Car, ZlatanCountry-level factor influence on COVID-19 excess mortality rates determined using Random Forest algorithm // Ri-STEM-2022 - proceedings / Baressi Šegota, Sandi ; Lorencin, Ivan ; Anđelić, Nikola ; Car, Zlatan (ur.).
Rijeka: Studentski zbor Sveučilišta u Rijeci ; Tehnički fakultet Rijeka ; Riteh AI and Robotics Group, 2022. str. 16-18 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
2.Benolić, Leo; Blagojević, Anđela; Šušteršič, Tijana; Car, Zlatan; Filipović, NenadMathematical modeling of COVID-19 spread using genetic programming algorithm // 1st Serbian International Conference on Applied Artificial Intelligence (SICAAI) - book of abstracts / Filipović, Nenad (ur.).
Kragujevac: Univerzitet u Kragujevcu, 2022. 41, 4 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
3.Blagojević, Anđela; Šušteršič, Tijana; Lorencin, Ivan; Baressi Šegota, Sandi; Milovanović, Dragan; Baskić, Danijela; Baskić, Dejan; Car, Zlatan; Filipović, Nenad; Zdravković, Nataša et al.COVID-19 disease severity prediction model based on blood biomarkers: a machine learning approach // 1st Serbian International Conference on Applied Artificial Intelligence (SICAAI) - book of abstracts / Filipović, Nenad (ur.).
Kragujevac: Univerzitet u Kragujevcu, 2022. 67, 4 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
4.Blagojević, Anđela; Šušteršič, Tijana; Lorencin, Ivan; Baressi Šegota, Sandi; Anđelić, Nikola; Milovanović, Dragan; Baskić, Dejan; Car, Zlatan; Filipović, NenadAnalysis of COVID-19 disease using machine learning - personalized model // 1st Serbian International Conference on Applied Artificial Intelligence (SICAAI) - book of abstracts / Filipović, Nenad (ur.).
Kragujevac: Univerzitet u Kragujevcu, 2022. 25, 4 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni) -
5.Blagojević, Anđela; Šušteršič, Tijana; Lorencin, Ivan; Baressi Šegota, Sandi; Anđelić, Nikola; Milovanović, Dragan; Baskić, Danijela; Baskić, Dejan; Petrović Zdravković, Nataša; Sazdanović, Predrag et al.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, 138 (2021), 104869, 11 doi:10.1016/j.compbiomed.2021.104869 (međunarodna recenzija, članak, ostalo)
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6.Štifanić, Daniel; Musulin, Jelena; Jurilj, Zdravko; Baressi Šegota, Sandi; Lorencin, Ivan; Anđelić, Nikola; Vlahinić, Saša; Šušteršič, Tijana; Blagojević, Anđela; Filipović, Nenad; Car, ZlatanSemantic segmentation of chest X-ray images based on the severity of COVID-19 infected patients // EAI Endorsed Transactions on Bioengineering and Bioinformatics, 21 (2021), 3; e3, 8 doi:10.4108/eai.7-7-2021.170287 (međunarodna recenzija, članak, znanstveni)
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7.Šušteršič, Tijana; Blagojević, Andjela; Cvetković, Danijela; Cvetković, Aleksandar; Lorencin, Ivan; Baressi Šegota, Sandi; Car, Zlatan; Filipović, NenadEpidemiological Predictive Modelling of COVID-19 Spread // 8th International Congress of Serbian Society of Mechanics
Kragujevac, 2021. (predavanje, međunarodna recenzija, neobjavljeni rad, znanstveni) -
8.Musulin, Jelena; Baressi Šegota, Sandi; Štifanić, Daniel; Lorencin, Ivan; Anđelić, Nikola; Šušteršič, Tijana; Blagojević, Anđela; Filipović, Nenad; Ćabov, Tomislav; Markova-Car, ElitzaApplication 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 (2021), 8; 4287, 39 doi:10.3390/ijerph18084287 (međunarodna recenzija, pregledni rad, znanstveni)
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9.Blagojević, Anđela; Šušteršič, Tijana; Lorencin, Ivan; Baressi Šegota, Sandi; Milovanović, Dragan; Baskić, Danijela; Baskić, Dejan; Car, Zlatan; Filipović, NenadCombined 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, 21 (2021), 2; e6, 10 doi:10.4108/eai.12-3-2021.169028 (međunarodna recenzija, članak, znanstveni)
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10.Lorencin, Ivan; Baressi Šegota, Sandi; Anđelić, Nikola; Blagojević, Anđela; Šušteršič, Tijana; Protić, Alen; Arsenijević, Miloš; Ćabov, Tomislav; Filipović, Nenad; Car, ZlatanAutomatic Evaluation of the Lung Condition of COVID-19 Patients Using X-ray Images and Convolutional Neural Networks // Journal of personalized medicine, 11 (2021), 1; 28, 31 doi:10.3390/jpm11010028 (međunarodna recenzija, članak, znanstveni)
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11.Isca, Vera M. S.; Sencanski, Milan; Filipovic, Nenad; Dos Santos, Daniel J. V. A.; Čipak Gašparović, Ana; Saraíva, Lucília; Afonso, Carlos A. M.; Rijo, Patrícia; García-Sosa, Alfonso T.Activity to Breast Cancer Cell Lines of Different Malignancy and Predicted Interaction with Protein Kinase C Isoforms of Royleanones // International journal of molecular sciences, 21 (2020), 10; 3671, 17 doi:10.3390/ijms21103671 (međunarodna recenzija, članak, znanstveni)
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12.Bjelogrlić, Snežana K.; Todorović, Tamara R.; Kojić, Milan; Senćanski, Milan; Nikolić, Milan; Višnjevac, Aleksandar; Araškov, Jovana; Miljković, Marija; Mueller, Christian D.; Filipović, Nenad R.Pd(II) complexes with N-heteroaromatic hydrazone ligands: Anticancer activity, in silico and experimental target identification // Journal of inorganic biochemistry, 199 (2019), 110758, 18 doi:10.1016/j.jinorgbio.2019.110758 (međunarodna recenzija, članak, znanstveni)
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13.Elshaflu, Hana; Todorović, Tamara R.; Nikolić, Milan; Lolić, Aleksandar; Višnjevac, Aleksandar; Hagenow, Stefanie; Padrón, José M.; García-Sosa, Alfonso T.; Djordjević, Ivana S.; Grubišić, Sonja et al.Selenazolyl-hydrazones as Novel Selective MAO Inhibitors With Antiproliferative and Antioxidant Activities: Experimental and In-silico Studies // Frontiers in Chemistry, 6 (2018), 247, 18 doi:10.3389/fchem.2018.00247 (međunarodna recenzija, članak, znanstveni)
