Farea, A., & Çelebi, M.S. (2025). Learnable activation functions in physics-informed neural networks for solving partial differential equations. Computer Physics Communications,, 315, 109753. https://doi.org/10.1016/j.cpc.2025.109753

Daryani, R., Ersan, E.C., & Çelebi, M.S. (2023). Impact of Multi-Grade Localized Calcifications on Aortic Valve Dynamics under Helical Inflow: A Comparative Hemodynamic Study. Applied Sciences, 13(24), 12983. https://doi.org/10.3390/app132412983

Farea,A., & Çelebi, M. S. (2023). On the evaluation of general sparse hybrid linear solvers. Numerical Linear Algebra with Applications, 30(2), e2469. https://doi.org/10.1002/nla.2469

Aribas, E., & Celebi, M. S. (2020). A thermal based RBC Aggregation model for two-phase blood flow. Korea-Australia Rheology Journal, 32(2), 121–136. https://doi.org/10.1007/s13367-020-0011-8

Celebi, M. S., Duran, A., Oztoprak, F., Tuncel, M., & Akaydin, B. (2017). On the improvement of a scalable sparse direct solver for unsymmetrical linear equations. The Journal of Supercomputing, 73(5), 1852–1904. https://doi.org/10.1007/s11227-016-1892-7

Çoban, G., & Çelebi, M. S. (2017). A novel computational remodelling algorithm for the probabilistic evolution of collagen fibre dispersion in biaxially strained vascular tissue. Mathematical Medicine and Biology: A Journal of the IMA, 34(4), 433–467. https://doi.org/10.1093/imammb/dqw012

Dogan, F., & Celebi, M. S. (2016). Quasi-non-linear deformation modeling of a human liver based on artificial and experimental data. The International Journal of Medical Robotics + Computer Assisted Surgery: MRCAS, 12(3), 410–420. https://doi.org/10.1002/rcs.1704

Duran, A., Celebi, M. S., Piskin, S., & Tuncel, M. (2015). Scalability of OpenFOAM for bio-medical flow simulations. The Journal of Supercomputing, 71(3), 938–951. https://doi.org/10.1007/s11227-014-1344-1

Duran, A., Çelebi, S., Tunçel, M., & Oztoprak, F. (2013). Structural Analysis of Large Sparse Matrices for Scalable Direct Solvers. Springer Proceedings in Mathematics and Statistics, 87. https://doi.org/10.1007/978-3-319-06923-4_14

Piskin, S., & Serdar Celebi, M. (2013). Analysis of the effects of different pulsatile inlet profiles on the hemodynamical properties of blood flow in patient specific carotid artery with stenosis. Computers in Biology and Medicine, 43(6), 717–728. https://doi.org/10.1016/j.compbiomed.2013.02.014

Yiğit, E., Daryani, R., Ersan, E. C., Çelebi, M. S. (2025). FEM Analysis of Venous Valve Using Time-Dependent and Spatially-Varying Pressure Distributions Obtained from FSI Simulations. 39th ECMS International Conference on Modelling and Simulation. Catania, Italy. https://doi.org/10.7148/2025-0170

Yaşartürk M. Y., Yiğit E., Daryani R., Ersan E.C., Çelebi, M.S. (2025). A New Holistic Approach for Prosthesis Polymeric Aortic Valve Design. 26th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE), Utrecht, Netherlands. https://doi.org/10.1109/EuroSimE65125.2025.11006637

Duzman H., Daryani R., Ersan E.C., Çelebi M.S. (2024). Patient-Specific In-Silico Hemodynamic Analysis of the Anomalous Aortic Origin of the Coronary Artery (AAOCA). International Conference on e-Health and Bioengineering, Bucharest, Romania. https://doi.org/10.1007/978-3-031-62520-6_64

Ersan E.C., Daryani R., Çelebi M.S. (2023). Comparison of hemodynamic characteristics of localized aortic valve calcifications under uniform and helical LVOT flows. CM4P Conference, Porto, Portugal.

Daryani R., Ersan E.C., Çelebi M.S. (2023). Hemodynamic characterization of localized aortic valve calcifications. SIMULTECH 2023, Rome, Italy.

Arıbaş, E., & Çelebi, M. S. (2018). Effects of using depletion interaction theory in variable hematocrit levels of bio-flows. ICNAAM 2017. https://doi.org/10.1063/1.5043935

Duran, A., Çelebi, S., Oztoprak, F. (2016). A Comparison of SuperLU Solvers on the Intel MIC Architecture. NUMTA 2016, Calabria-Italy. https://doi.org/10.1063/1.4965394

Çoban, G., & Çelebi, M. S. (2015). Exact analytical representation of fiber stress tensor based on angular integration (AI) through cellular level probabilistic equations. AIP Conference Proceedings, 1648(1), 320002. https://doi.org/10.1063/1.4912568

Mercan, C. A., & Celebi, M. S. (2014). An approach for chest tube detection in chest radiographs. IET Image Processing, 8(2), 122–129. https://doi.org/10.1049/iet-ipr.2013.0239

Duran, A., Tuncel, M., Akaydin, B., Oztoprak, F., Çelebi, S. (2013). Spectral Analysis of Large Sparse Matrices for Scalable Direct Solver. GICAM13, Kuwait.