Sebastian Steinmetz

Deep Learning-Based Image Reconstruction in Ultra-High-Resolution CT Venography for Improved Visualization of Cerebral Venous Drainage

Abstract Purpose To evaluate the diagnostic confidence and image quality of deep-learning-enhanced ultra-high-resolution CT venography (CTV) in venous neurovascular imaging, compared with hybrid iterative reconstruction of ultra-high-resolution CT datasets and normal-resolution C...

Functional Outcomes and Safety of Endovascular Thrombectomy in Pediatric Acute Ischemic Stroke With Cardiac Abnormalities.

Background And Objectives Cardiac abnormalities are among the most common and complex risk factors of pediatric acute ischemic stroke (AIS). Although endovascular treatment (EVT) is increasingly used in children, uncertainty persists regarding its safety and effectiveness in pati...