Miloš D. Radović

1. RADOVIĆ, Miloš D., FILIPOVIĆ, Nenad D., BOSNIĆ, Zoran, VRAČAR, Petar, KONONENKO, Igor. Mining data from hemodynamic simulations for generating prediction and explanation models. V: Emerging technologies for patient specific healthcare. [S. l.: s. n.], 2010. Str. 1-4, ilustr. ISBN 978-1-4244-6560-6. [COBISS.SI-ID 8058964]

2. BOSNIĆ, Zoran, VRAČAR, Petar, RADOVIĆ, Miloš D., DEVEDŽIĆ, Goran, FILIPOVIĆ, Nenad D., KONONENKO, Igor. Mining data from hemodynamic simulations for generating prediction and explanation models. IEEE transactions on information technology in biomedicine. [Print ed.]. Mar. 2012, vol. 16, no. 2, str. 248-254, ilustr. ISSN 1089-7771. http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5983444. [COBISS.SI-ID 9026900]

3. ĐOROVIĆ, Smiljana, ROBNIK ŠIKONJA, Marko, RADOVIĆ, Miloš D., ANĐELKOVIĆ ĆIRKOVIĆ, Bojana, FILIPOVIĆ, Nenad. Finite element modelling of cardiac ischemia and data mining application for ischemic detection and localization. Proceedings. 2018, vol. 2, no. 8, str. 1-6, ilustr. ISSN 2504-3900. http://www.mdpi.com/2504-3900/2/8/410, Repozitorij Univerze v Ljubljani – RUL, DOI: 10.3390/ICEM18-05269. [COBISS.SI-ID 1537806019]

4. ROBNIK ŠIKONJA, Marko, RADOVIĆ, Miloš D., ĐOROVIĆ, Smiljana, ANĐELKOVIĆ ĆIRKOVIĆ, Bojana, FILIPOVIĆ, Nenad. Modeling ischemia with finite elements and automated machine learning. Journal of computational science. Nov. 2018, vol. 29, str. 99-106, ilustr. ISSN 1877-7503. https://www.sciencedirect.com/science/article/pii/S1877750318304526?via%3Dihub, DOI: 10.1016/j.jocs.2018.09.017. [COBISS.SI-ID 1538007747]

5. VUKICEVIC, Arso M., RADOVIĆ, Miloš D., ZABOTTI, Alen, MILIĆ, Vera, HOČEVAR, Alojzija, ZANDONELLA CALLEGHER, Sara, DE LUCIA, Orazio, DE VITA, Salvatore, FILIPOVIĆ, Nenad. Deep learning segmentation of Primary Sjögren's syndrome affected salivary glands from ultrasonography images. Computers in biology and medicine. Feb. 2021, vol. 129, str. 1-10, ilustr. ISSN 1879-0534. https://www.sciencedirect.com/science/article/pii/S0010482520304856?via%3Dihub, DOI: 10.1016/j.compbiomed.2020.104154. [COBISS.SI-ID 43174147]
projekt: financer: Serbian government; Union's Horizon 2020