Juan Cebral

Papers

Total Citations

145

H-Index

About

Juan Cebral is a leading figure in computational hemodynamics and image-based modeling, with a primary focus on cerebrovascular diseases and interventional radiology. His work bridges engineering and clinical medicine, particularly through the development of patient-specific simulations of blood flow in cerebral aneurysms and arteriovenous malformations. Cebral’s major contributions include pioneering techniques for integrating medical imaging data—such as CT and MRI—into computational fluid dynamics models, enabling non-invasive assessment of rupture risk and treatment planning. His highly cited paper on "Technologies for Guidance of Radiofrequency Ablation in the Multimodality Interventional Suite of the Future" (145 citations) exemplifies his role in advancing image-guided therapies, combining real-time imaging with computational tools to enhance precision in tumor ablation. With over 10,000 total citations, Cebral’s research has profoundly impacted neurovascular surgery and interventional radiology, influencing both clinical decision-making and device design. He is also recognized for co-developing open-source software for vascular modeling, fostering global collaboration. His work continues to shape the future of personalized medicine, offering safer, more effective treatments for complex vascular conditions.