
Assistant Professor
Department of Biomedical Engineering
Jacobs School of Medicine & Biomedical Sciences
Artificial Intelligence; Biomedical Imaging; Cardiovascular Disease; Diagnostic Radiology; Image Processing and Analysis; Imaging Informatics; Neurosurgery; Radiological Physics; Vascular and Interventional Radiology; Vision science
Ciprian N. Ionita, PhD, is Associate Professor in the Department of Biomedical Engineering at the University at Buffalo, with adjunct appointments in Radiology and Neurosurgery. He directs the Endovascular Device and Imaging Lab at the Canon Stroke and Vascular Research Center. His research focuses on quantitative imaging and image-guided treatment of neurovascular disease, with particular emphasis on angiographic analysis, computed tomography, patient-specific vascular models, and AI-based decision support for endovascular procedures.
His group develops methods to improve intraoperative assessment of intracranial aneurysm treatment, stroke severity, and cerebrovascular hemodynamics. This work integrates medical imaging, computational modeling, additive manufacturing, and device evaluation to build and validate quantitative tools that can be used in the angiography suite. The lab has also developed patient-specific neurovascular and cardiovascular phantoms for software validation, procedural simulation, and testing of endovascular devices.
A major current focus is translation of quantitative angiography and machine learning into clinically relevant tools for real-time procedural guidance. This includes NSF-supported work connected to QAS.AI on AI-enhanced angiographic systems for intracranial aneurysm treatment planning and outcome prediction. Dr. Ionita has also contributed to national efforts in standardization of medical 3D printing through the RSNA 3D Printing Special Interest Group.