Daniele Ravanelli, MSc

The objective of this study was to assess whether an Artificial Intelligence (AI) model can automate the retrieval of Endovascular Aneurysm Repair (EVAR) related device codes used to identify specific stent-grafts from preoperative computed tomography angiogr...

Tractography has become more widely used in neurosurgical planning, yet traditional voxel-based Region of Interest (ROI) segmentation often includes anatomically implausible fibers and becomes challenging with distorted anatomy near lesions. This study evalua...

The goal of this study was to investigate whether measuring arterial transit time (AT) using the last digital subtraction angiography (DSA) in patients with persistent type II endoleaks (T2E) after repair of an abdominal aortic aneurysm (EVAR) could be a mean...

Contrast-to-noise ratio (CNR) is a common alternative to human visual scoring to assess low-contrast visibility in fluoroscopy systems. We propose a task- and usage-driven framework that combines AI-based phantom registration, image-derived metrics, and human...