Institution profile

Trento Hospital

Rank #231 · 4 unique linked submissions.

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Top contributors

Daniele Ravanelli, MSc 4 Annalisa Trianni, PhD 4 Elisa Eccher, MSc 3 Sara Allievi, MD 2 William Avallone, MSc 2 Stefano Bonvini, MD 2 Igor Raunig, MD 2 Francesca Saltori, MSc 1
Poster Poster Program
AI-Based Automated Extraction of Manufacturer-Specific Stent-Graft Codes for EVAR Planning

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...

Sara Allievi, MDIgor Raunig, MDStefano Bonvini, MDElisa Eccher, MScDaniele Ravanelli, MScAnnalisa Trianni, PhD
Diagnostic and Interventional Radiology Physics
Poster Poster Program
Comparing Voxel- and Streamline-Based Paradigms In Clinical Tractography

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...

Silvio Sarubbo, PhDWilliam Avallone, MScAnnalisa Trianni, PhDDaniele Ravanelli, MSc
Diagnostic and Interventional Radiology Physics
Poster Poster Program
Contrast Arterial Transit Time on Final DSA Predicts Persistent Type II Endoleak after EVAR: A Pilot Study

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...

Elisa Eccher, MScDaniele Ravanelli, MScStefano Bonvini, MDSara Allievi, MDIgor Raunig, MDAnnalisa Trianni, PhD
Diagnostic and Interventional Radiology Physics
Poster Poster Program
Task- and Usage-Driven Assessment of Low-Contrast Detectability In Fluoroscopy Using AI-Based Phantom Registration and Human Visibility Probabilities

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...

Daniele Ravanelli, MScAnnalisa Trianni, PhDElisa Eccher, MScFrancesca Saltori, MScWilliam Avallone, MSc
Diagnostic and Interventional Radiology Physics