Top 5 publications

Melito, G. M., Müller, T. S., Badeli, V., Ellermann, K., Brenn, G., & Reinbacher-Köstinger, A. (2021). Sensitivity analysis study on the effect of the fluid mechanics assumptions for the computation of electrical conductivity of flowing human blood. Reliability Engineering & System Safety, 213, 107663.

Ranftl, S., Melito, G. M., Badeli, V., Reinbacher-Köstinger, A., Ellermann, K., & von der Linden, W. (2019). Bayesian Uncertainty Quantification with Multi-Fidelity Data and Gaussian Processes for Impedance Cardiography of Aortic Dissection. Entropy, 22(1), 58.

Melito, G. M., Jafarinia, A., Hochrainer, T., & Ellermann, K. (2021). Sensitivity Analysis of a Phenomenological Thrombosis Model and Growth Rate Characterisation. Journal of Biomedical Engineering and Biosciences.

Jafarinia, A., Melito, G. M., Müller, T. S., Rolf-Pissarczyk, M., Holzapfel, G. A., Brenn, G., Ellermann, K., & Hochrainer, T. (2023). Morphological parameters affecting false lumen thrombosis following type B aortic dissection: a systematic study based on simulations of idealized models. Biomechanics and Modeling in Mechanobiology, 22(3).

Melito, G. M., Pepe, A., Jafarinia, A., Krispel, T., & Egger, J. (2024). Optimizing Aortic Segmentation with an Innovative Quality Assessment: The Role of Global Sensitivity Analysis. In A. Pepe, G. M. Melito, & J. Egger (Eds.), Lecture Notes in Computer Science (Vol. 14539, pp. 110–126). Springer.