Computational modeling of basal ganglia hemorrhage morphology improves functional outcome prognostication after minimally invasive surgical evacuation.

MLA

Kashkoush, Ahmed, et al. “Computational Modeling of Basal Ganglia Hemorrhage Morphology Improves Functional Outcome Prognostication after Minimally Invasive Surgical Evacuation.” Journal of Neurointerventional Surgery, Dec. 2024. EBSCOhost, https://doi.org/10.1136/jnis-2024-022631.

APA

Kashkoush, A., Achey, R. L., Davison, M., Rasmussen, P. A., Kshettry, V. R., Moore, N., Gomes, J., & Bain, M. (2024). Computational modeling of basal ganglia hemorrhage morphology improves functional outcome prognostication after minimally invasive surgical evacuation. Journal of Neurointerventional Surgery. https://doi.org/10.1136/jnis-2024-022631

Chicago

Kashkoush, Ahmed, Rebecca L Achey, Mark Davison, Peter A Rasmussen, Varun R Kshettry, Nina Moore, Joao Gomes, and Mark Bain. 2024. “Computational Modeling of Basal Ganglia Hemorrhage Morphology Improves Functional Outcome Prognostication after Minimally Invasive Surgical Evacuation.” Journal of Neurointerventional Surgery, December. doi:10.1136/jnis-2024-022631.