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Nenad Filipovic

University of Kragujevac

SCHOLARLY PAPERS

3

DOWNLOADS

189

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Machine Learning and Physical Based Modeling for Cardiac Hypertrophy

Number of pages: 21 Posted: 27 Jan 2023
Bogdan Milicevic, Miljan Milosevic, Vladimir Simic, Andrej Preveden, Lazar Velicki, Djordje Jakovljevic, Zoran Bosnic, Matej Piculin, Bojan Zunkovic, Milos Kojic and Nenad Filipovic
University of Kragujevac, University of Kragujevac, University of Kragujevac, University of Novi Sad, University of Novi Sad, Coventry University, University of Ljubljana, Faculty of Computer and Information Science, University of Ljubljana, University of Ljubljana, Bioengineering Research and Development Center (BioIRC) and University of Kragujevac
Downloads 90 (742,061)

Abstract:

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Finite element analysis, Machine learning, left ventricle mode, cardiac hypertrophy, disease progress tracking

2.

SGABU Computational Platform for Multiscale Modeling: Bridging the Gap between Education and Research

Number of pages: 23 Posted: 03 May 2023
Tijana Geroski, Orestis Gkaintes, Aleksandra Vulović, Niketa Ukaj, Jorge Barrasa-Fano, Fernando Perez-Boerema, Bogdan Milicevic, Aleksandar Atanasijević, Jelena Živković, Andreja Živić, Maria Roumpi, Themis Exarchos, Christian Hellmich, Stefan Scheiner, Hans Van Oosterwyck, Djordje Jakovljevic, Miloš Ivanović and Nenad Filipovic
University of Kragujevac - Faculty of Engineering, University of Ioannina, University of Kragujevac - Faculty of Engineering, Vienna University of Technology, KU Leuven, KU Leuven, University of Kragujevac, University of Kragujevac, Bioengineering Research and Development Center (BioIRC), University of Kragujevac - Faculty of Science, University of Ioannina, University of Ioannina, Vienna University of Technology, Vienna University of Technology, KU Leuven, Coventry University, Bioengineering Research and Development Center (BioIRC) and University of Kragujevac
Downloads 53 (1,031,043)

Abstract:

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computational platform, multiscale modeling, user-friendly interface, open science

3.

Magnetic Field Stimulation Improves the Therapeutic Efficiency of Magnetic Hyperthermia by Promoting Endocytosis

Number of pages: 37 Posted: 21 Jan 2025
Guanlin Zhou, Chao Wang, Heng Li, Nenad Filipovic, Chengwei Wu and Wei Zhang
Dalian University of Technology, Dalian University of Technology, Dalian University of Technology, University of Kragujevac, Dalian University of Technology and Dalian University of Technology
Downloads 46 (1,109,210)

Abstract:

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cancer cell, alternating magnetic field stimulation, endocytosis, hyperthermia