Publications

2026

Li, J., Zhou, Z., Yang, J., Pepe, A., Gsaxner, C., Luijten, G., … Melito, G. M., … & Reyes, M. (2025). MedShapeNet – a large-scale dataset of 3D medical shapes for computer vision. Biomedical Engineering/Biomedizinische Technik, 70(1), 71-90
Bošnjak, D., Melito, G. M., Schussnig, R., Ellermann, K., & Fries, T. P. (2024). SynthAorta: A 3D mesh dataset of parametrized physiological healthy aortas. 10.1109/TMI.2025.3599937 IEEE Transactions on Medical Imaging ^503860
- Bošnjak, D., Melito, G. M., Schussnig, R., Ellermann, K., & Fries, T.-P. (2025). SynthAorta Dataset (1.2) [Data set]. Graz University of Technology. 10.3217/f31ph-37h03

Lindbichler, L., Klanner, M., Melito, G. M., & Ellermann, K. (2024). Determination and sensitivity analysis of optimal control parameters of actively steered wheelsets. In Proceedings of ISMA 2024 International Conference on Noise and Vibration Engineering and USD 2024 International Conference on Uncertainty in Structural Dynamics. KU Leuven.
Jafarinia, A., Badeli, V., Krispel, T., Melito, G. M., Brenn, G., Reinbacher-Köstinger, A., Kaltenbacher, M., & Hochrainer, T. (2024). Modeling Anisotropic Electrical Conductivity of Blood: Translating Microscale Effects of Red Blood Cell Motion into a Macroscale Property of Blood. Bioengineering, 11(2), 147.
Pepe, A., Melito, G. M., & Egger, J. (2024). Segmentation of the Aorta: Towards the Automatic Segmentation, Modeling, and Meshing of the Aortic Vessel Tree from Multicenter Acquisition: First Challenge, SEG. A. 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, October 8, 2023, Proceedings. Springer

Melito, G. M., Pepe, A., Jafarinia, A., Krispel, T., & Egger, J. (2023). Optimizing Aortic Segmentation with an Innovative Quality Assessment: The Role of Global Sensitivity Analysis. In MICCAI Challenge on Segmentation of the Aorta (pp. 110-126). Cham: Springer Nature Switzerland
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), 885-904.
Badeli, V., Jafarinia, A., Melito, G. M., Müller, T. S., Reinbacher‐Köstinger, A., Hochrainer, T., … & Kaltenbacher, M. (2023). Monitoring of false lumen thrombosis in type B aortic dissection by impedance cardiography–A multiphysics simulation study. International Journal for Numerical Methods in Biomedical Engineering, 39(2), e3669.

Badeli, V., Ranftl, S., Melito, G. M., Reinbacher-Köstinger, A., Von Der Linden, W., Ellermann, K., & Biro, O. (2022). Bayesian inference of multi-sensors impedance cardiography for detection of aortic dissection. COMPEL-The international journal for computation and mathematics in electrical and electronic engineering, 41(3), 824-839.
PhD thesis - Melito, G. M. (2022). Sensitivity analysis for model optimization and calibration in type B aortic dissection.

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.
Jafarinia, A., Badeli, V., Melito, G. M., Müller, T. S., Reinbacher-Köstinger, A., Hochrainer, T., … & Brenn, G. (2021, July). False lumen thrombosis in aortic dissection and its impact on blood conductivity variations—An application for impedance cardiography. In Proceedings of the Book of abstract, Young Investigators Conference, Valencia, Spain (pp. 7-9).

Melito, G. M., Jafarinia, A., Hochrainer, T., & Ellermann, K. (2020). Sensitivity analysis of a phenomenological thrombosis model and growth rate characterisation. Journal of Biomedical Engineering and Biosciences, 7, 31-40.
Egger, J., Gunacker, S., Pepe, A., Melito, G. M., Gsaxner, C., Li, J., … & Chen, X. (2020, March). A comprehensive workflow and framework for immersive virtual endoscopy of dissected aortae from CTA data. In Medical Imaging 2020: Image-Guided Procedures, Robotic Interventions, and Modeling (Vol. 11315, pp. 774-779). SPIE.
Badeli, V., Melito, G. M., Reinbacher-Köstinger, A., Bíró, O., & Ellermann, K. (2020). Electrode positioning to investigate the changes of the thoracic bioimpedance caused by aortic dissection–a simulation study. Journal of Electrical Bioimpedance, 11(1), 38.
Melito, G. M., Jafarinia, A., Hochrainer, T., & Ellermann, K. (2020, July). Sensitivity analysis of a hemodynamic-based model for thrombus formation and growth. In 6th World Congress on Electrical Engineering and Computer Systems and Sciences (pp. ICBES-127).

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.
Ranftl, S., Melito, G. M., Badeli, V., Reinbacher-Köstinger, A., Ellermann, K., & Linden, W. V. D. (2019, December). On the diagnosis of aortic dissection with impedance cardiography: a Bayesian feasibility study framework with multi-fidelity simulation data. In Proceedings (Vol. 33, No. 1, p. 24). MDPI.
Reinbacher-Köstinger, A., Badeli, V., Melito, G. M., Magele, C., & Bíró, O. (2019, June). Numerical simulation of various electrode configurations in impedance cardiography to identify aortic dissection. In International Conference on Electrical Bioimpedance (pp. 51-54). Singapore: Springer Singapore.