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Journal papers:

  • Pavić, O., Dašić, L., Geroski, T., Vasković Jovanović, M., & Filipović, N. (2023). Risk Classification for Sudden Cardiac Death in Patients with Hypertrophic Cardiomyopathy based on Machine Learning Algorithms, Journal of the Serbian Society for Computational Mechanics, Vol. 17, No. 2, pp 153-165, https://doi.org/10.24874/jsscm.2023.17.02.11
  • Pavić, J., Živanović, M., Tanasković, I., Pavić, O., Stanković, V., Virijević, K., Mladenović, T., Košarić, J., Milićević, B., Qamar, S. U. R., Velicki, L., Novaković, I., Preveden, A., Popović, D., Tesić, M., Seman, S., & Filipović, N. (2024). A Machine Learning Approach to Gene Expression in Hypertrophic Cardiomyopathy. Pharmaceuticals, 17(10), 1364, doi: https://doi.org/10.3390/ph17101364 , https://doi.org/10.3390/ph17101364
  • Charman, S.J., Okwose, N.C., Groenewegen, A., et al, (2025). Clinical validation of an artificial intelligence-based decision support system for diagnosis and risk stratification of heart failure (STRATIFYHF): a protocol for a prospective, multicentre longitudinal study. BMJ Open 15:e091793, doi: 10.1136/bmjopen-2024-091793

Conference papers:

  • Milićević, B., Milovanović, V., Milošević, M., & Filipović, N. (2024). Overview of the Integration of Genetic Algorithms and Reinforcement Learning Techniques, 3rd Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, 23-24 May 2024, . http://aai2024.kg.ac.rs/book-of-abstracts/
  • Geroski, T., Pavić, O., Dašić, L., Amini, A., & Filipović, N. (2024). Cardiac Segmentation Using UNETR: A Transformer Based Deep Learning Approach on the ACDC Dataset, 3rd Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, 23-24 May 2024, http://aai2024.kg.ac.rs/book-of-abstracts/
  • Dašić, L., Geroski, T., Pavić, O., & Filipović, N. (2024). Development of convolutional neural network for classification of heart sounds utilizing mel-frequency cepstral coefficients. 3rd Serbian International Conference on Applied Artificial Intelligence (SICAAI), Kragujevac, Serbia, 23-24 May 2024, http://aai2024.kg.ac.rs/book-of-abstracts/
  • Milićević, B., Milošević, M., Kojić, M., & Filipović, N. (2024). Cardiac Hypertrophy Simulations Using Echocardiography-based LV Model, 9th European Medical and Biological Engineering Conference (EMBEC 2024), Portorož, Slovenia, 9-13 June 2024, https://doi.org/10.5281/zenodo.14756318
  • Simić, V., Milićević, B., Milošević, M., Filipović, N., & Kojić, M. (2024). Parameter Optimization of Drug Diffusion Transport Within Axial Symmetric Model for Drug Coating Balloon (DCB) Using Genetic Algorithms, The 9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2024), Lisbon, Portugal, 3-7 June 2024, https://doi.org/10.5281/zenodo.14771550
  • Milićević, B., Milošević, M., Kojić, M., & Filipović, N. (2024). Parameter Estimation of O’Hara Model for Arrhythmia Modeling Using Genetic Algorithms and Particle Swarm Optimization, The 9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2024), Lisbon, Portugal, 3-7 June 2024, https://doi.org/10.5281/zenodo.14756284
  • Geroski, T., Pavić, O., Dašić, L., & Filipović, N. (2024). From Data to Dynamics: Exploring Physics Informed Neural Network Solutions for Complex Transport Phenomena. The 9th European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2024), Lisbon, Portugal, 3-7 June 2024, https://doi.org/10.5281/zenodo.14889837
  • Milićević, B., Milošević, M., Kojić, M., Milovanovic, V., & Filipović, N. (2024). Electrophysiological Model Parameter Estimation Using Genetic Algorithms And Deep Deterministic Policy Gradients, 1st CEACM Int. Conference on Synergy between Miltiphysics/Multiscale Modeling and Machine Learning (CEACM S4ML 2024 CONFERENCE), Prague, Czech Republic, 19-21 June 2024, https://doi.org/10.5281/zenodo.14756329
  • Djukić, T., Tomašević, S., Anić, M., Saveljić, I., & Filipović, N. (2024). Simulation of plaque progression within a patient-specific carotid bifurcation reconstructed using a combined deep-learning approach, 1st CEACM Int. Conference on Synergy between Miltiphysics/Multiscale Modeling and Machine Learning (CEACM S4ML 2024 CONFERENCE), Prague, Czech Republic, 19-21 June 2024, https://doi.org/10.5281/zenodo.14775321
  • Milićević, B., Milošević, M., Ivanović, M., Stojanović, B., Kojić, M., & Filipović, N. (2024). Usage Of Surrogate Muscle Models In Echocardiography-Based Left Ventricle Model, 29th Congress of the European Society of Biomechanics (ESB2024), Edinburgh, Scotland, 31 June – 3 July 2024, https://doi.org/10.5281/zenodo.14756345
  • Milićević, B., & Filipović, N. (2024). Overview Of The Electrophysiological Models For The Left Ventricle Simulations, The 17th International Scientific Conference Contemporary Materials, Banja Luka, Republic of Srpska, 5-6 September 2024, https://doi.org/10.7251/COMEN2401001M  
  • Geroski, T., Pavić, O., Dašić, L., & Filipović, N. (2024). Extraction of Vocal Features as Biomarkers for Heart Failure Diagnosis, IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI24), Houston, TX, USA, 10 – 13 November 2024, https://doi.org/10.5281/zenodo.14979360
  • Milićević, B., Milošević, M., Milovanović, V., Vasković Jovanović, M., Kojić, M., & Filipović, N. (2024). Short Overview of Left Ventricular Action Potential Simulations: Integrating Numerical Methods with Machine Learning, The 24th annual IEEE International Conference on Bioinformatics and Bioengineering (IEEE BIBE 2024), Kragujevac, Serbia, 27-29 November 2024, https://www.bibe2024.kg.ac.rs/book-of-abstracts/
  • Dašić, L., Barrasa-Fano, J., Pavić., O., Geroski, T., Shapeti, A., van Oosterwyck, H., Ranković, V., & Filipović, N. (2024). Semantic image segmentation of cell volumes using 3D U-net convolutional neural network.  The 24th annual IEEE International Conference on Bioinformatics and Bioengineering (IEEE BIBE 2024), Kragujevac, Serbia, 27-29 November 2024, https://www.bibe2024.kg.ac.rs/book-of-abstracts/
  • Pavić, O., Barrasa-Fano, J., Dašić, L., Geroski, T., Shapeti, A., Van Oosterwyck, H., Ranković, V., & Filipović, N. (2024). Unsupervised Deep Learning Method for Cell Segmentation of Confocal Microscopy Images, The 24th annual IEEE International Conference on Bioinformatics and Bioengineering (IEEE BIBE 2024), Kragujevac, Serbia, 27-29 November 2024, https://www.bibe2024.kg.ac.rs/book-of-abstracts/