APA (7th ed.) Citation

Ntzanis, E., Papandrianos, N., Zampakis, P., Panagiotopoulos, V., Koutsojannis, C., Kalogeropoulou, C., & Papageorgiou, E. I. (2026). Interpretable Machine Learning Identifies Key Inflammatory and Morphological Drivers of Intracranial Aneurysm Rupture Risk. Bioengineering (Basel), 13(2), 226. https://doi.org/10.3390/bioengineering13020226

Chicago Style (17th ed.) Citation

Ntzanis, Epameinondas, Nikolaos Papandrianos, Petros Zampakis, Vasilios Panagiotopoulos, Constantinos Koutsojannis, Christina Kalogeropoulou, and Elpiniki I. Papageorgiou. "Interpretable Machine Learning Identifies Key Inflammatory and Morphological Drivers of Intracranial Aneurysm Rupture Risk." Bioengineering (Basel) 13, no. 2 (2026): 226. https://doi.org/10.3390/bioengineering13020226.

MLA (9th ed.) Citation

Ntzanis, Epameinondas, et al. "Interpretable Machine Learning Identifies Key Inflammatory and Morphological Drivers of Intracranial Aneurysm Rupture Risk." Bioengineering (Basel), vol. 13, no. 2, 2026, p. 226, https://doi.org/10.3390/bioengineering13020226.