S. Katsoudas, S. Malatos, A. Raptis, M. Matsagkas, A. Giannoukas, and M. Xenos, “Blood flow simulation in bifurcating arteries: a multiscale approach after fenestrated and branched endovascular aneurysm repair,” Mathematics, vol. 13, no. 9, p. 1362, Apr. 2025, doi: 10.3390/math13091362.
K. Kyparissis, N. Kladovasilakis, M.-S. Daraki, A. Raptis, P. Tsantrizos, K. Moulakakis, J. Kakisis, C. Manopoulos, and G. E. Stavroulakis, “Numerical evaluation of abdominal aortic aneurysms utilizing finite element method,” Diagnostics, vol. 15, no. 6, p. 697, Mar. 2025, doi: 10.3390/diagnostics15060697.
A. D. Mouratidou and G. E. Stavroulakis, “A Neural Network Constitutive Model and Automatic Stiffness Evaluation for Multiscale Finite Elements,” Applied Sciences, vol. 15, no. 7, p. 3697, Jan. 2025, doi: 10.3390/app15073697.
I. Theocharakis, E. Kontopodis, D. Arampatzis, E. Athanasiadis, Ι. Theodorakopoulos, D. Glotsos, P. Asvestas, A. Raptis, C. Manopoulos, K. Moulakakis, J. Kakisis, and I. Kalatzis, “A comparative study of machine learning systems in abdominal aortic segmentation,” International Journal of Biology and Biomedicine, vol. 10, 2025, [Online]. Available: https://www.iaras.org/home/caijbb/a-comparative-study-of-machine-learning-systems-in-abdominal-aortic-segmentation
G. E. Stavroulakis, A. D. Mouratidou, and G. A. Drosopoulos, “Multiscale Finite Elements Using Neural Network Material Metamodels,” in Multiscale and Multiphysics Modelling for Advanced and Sustainable Materials: Euromech Colloquium 642, P. Trovalusci, T. Sadowski, and A. Ibrahimbegovic, Eds., Cham: Springer Nature Switzerland, 2025, pp. 363–375. doi: 10.1007/978-3-031-84379-2_27.
A. D. Mouratidou, G. A. Drosopoulos, and G. E. Stavroulakis, “Ensemble of physics-informed neural networks for solving plane elasticity problems with examples,” Acta Mech, vol. 235, no. 11, pp. 6703–6722, Nov. 2024, doi: 10.1007/s00707-024-04053-3.
T. Aravanis, G. Chrimatopoulos, M. Xenos, and E. Tzirtzilakis, “Forecasting two-dimensional channel flow using machine learning,” Physics of Fluids, vol. 36, no. 10, p. 103617, Oct. 2024, doi: 10.1063/5.0231005.
P. Sarantides, A. Raptis, D. Mathioulakis, K. Moulakakis, J. Kakisis, and C. Manopoulos, “Computational study of abdominal aortic aneurysm walls accounting for patient-specific non-uniform intraluminal thrombus thickness and distinct material models: a pre- and post-rupture case,” Bioengineering, vol. 11, no. 2, Art. no. 2, Feb. 2024, doi: 10.3390/bioengineering11020144.
C. Mavridis, T. P. Vagenas, T. L. Economopoulos, I. Vezakis, O. Petropoulou, I. Kakkos, and G. K. Matsopoulos, “Automatic Segmentation in 3D CT Images: A Comparative Study of Deep Learning Architectures for the Automatic Segmentation of the Abdominal Aorta,” Electronics, vol. 13, no. 24, p. 4919, Jan. 2024, doi: 10.3390/electronics13244919.
T. Aravanis, G. Chrimatopoulos, M. Xenos, and E. Tzirtzilakis, “Machine Learning-Based Geometric Interpolation for Fluid-Flow Modelling,” in Proceedings of the 28th Pan-Hellenic Conference on Progress in Computing and Informatics, Athens Greece: ACM, Dec. 2024, pp. 407–412. doi: 10.1145/3716554.3716616.
P. N. Smyrlis, G. R. Stancu, F. Dimaraki, A. Ntetska, T. Karamitsou, K. D. Tzimourta, M. G. Tsipouras, and P. Angelidis, “Aorta localization in Computed Tomography images: A YoloV9 segmentation approach,” in 2024 9th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), Athens, Greece: IEEE, Sept. 2024, pp. 163–167. doi: 10.1109/SEEDA-CECNSM63478.2024.00037.
T. Aravanis, G. Chrimatopoulos, M. Xenos, and E. E. Tzirtzilakis, “Machine-Learning Modelling of a Fluid Flow in a Two-Dimensional Channel,” in 2024 15th International Conference on Information, Intelligence, Systems & Applications (IISA), Chania Crete, Greece: IEEE, July 2024, pp. 1–8. doi: 10.1109/IISA62523.2024.10786684.
G. S. Stavroulakis, A. Mouratidou, and G. D. Drosopoulos, “Nonlinear interaction in composites using physics informed neural networks,” in 16th World Congress on Computational Mechanics and 4th Pan American Congress on Computational Mechanics, July 2024. doi: 10.23967/wccm.2024.074.
P. Sarantides, A. Raptis, E. Koutoulakis, E. Markodimitrakis, D. Mathioulakis, K. Moulakakis, J. Kakisis, and C. Manopoulos, “Image segmentation, modeling and computational structural analysis of patient-specific abdominal aortic aneurysms including intraluminal thrombus through a semi-automated workflow,” in 11th International Conference from “Scientific Computing to Computational Engineering” (IC-SCCE), 2024.
