Angelo Vanzulli

Full Professor of Radiology

Università degli Studi di Torino

Italy

Research Interests

Explore related searches

Professors in Italy Professors in Medical Imaging Medical Imaging professors in Italy

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Angelo Vanzulli is a Full Professor of Radiology at Università degli Studi di Milano, Italy. His research focuses on advanced imaging techniques and their applications in areas such as neuroendocrine neoplasms, liver imaging, and the impact of the COVID-19 pandemic on radiology practices. Recent publications include studies on augmented reality during robot-assisted surgeries, diagnostic imaging for COVID-19, and the use of machine learning in predicting outcomes in cancer patients.

Articles (13)

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Year:

2021

Year:

ITALY

View details

SALVATORE SIENA

Full Professor of Medical Oncology

Università degli Studi di Torino

ITALY

View details

Simone Mazzetti

Candiolo Cancer Institute

ITALY

View details

Thomas Langer

Associate Professor

University of Milano-Bicocca

ITALY

View details

Davide Paolo Bernasconi

University of Milano-Bicocca

ITALY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Angelo Vanzulli

Research Interests

Explore related searches

Contact this professor

About

Articles (13)

Three-dimensional (3D) augmented reality during Retzius-sparing robot-assisted radical prostatectomy (RS-RARP): First experience

Advancements in Neuroendocrine Neoplasms: Imaging and Future Frontiers

Dual-energy CT applications on liver imaging: what radiologists and radiographers should know? A systematic review

Focal Liver Lesions in Budd-Chiari Syndrome: Spectrum of Imaging Findings

Diagnostic Performance in Differentiating COVID-19 from Other Viral Pneumonias on CT Imaging: Multi-Reader Analysis Compared with an Artificial Intelligence-Based Model

Is routine CT scan after pancreaticoduodenectomy a useful tool in the early detection of complications? A single center retrospective analysis

Impact of COVID-19 pandemic on the workload of diagnostic radiology: a 2-year observational study in a tertiary referral hospital

Delta-Radiomics Predicts Response to First-Line Oxaliplatin-Based Chemotherapy in Colorectal Cancer Patients with Liver Metastases

From LI-RADS Classification to HCC Pathology: A Retrospective Single-Institution Analysis of Clinico-Pathological Features Affecting Oncological Outcomes after Curative Surgery

Machine Learning to Predict In-Hospital Mortality in COVID-19 Patients Using Computed Tomography-Derived Pulmonary and Vascular Features

Surgical Resection vs. Percutaneous Ablation for Single Hepatocellular Carcinoma: Exploring the Impact of Li-RADS Classification on Oncological Outcomes

Correlation between lung ultrasound and chest CT patterns with estimation of pulmonary burden in COVID-19 patients.

A patient-specific approach for quantitative and automatic analysis of computed tomography images in lung disease: Application to COVID-19 patients

Collaborators (9)

Andrea Sartore-Bianchi

Laura Evangelista

Valentina Ambrosini

Maria Picchio

Valentina Giannini

SALVATORE SIENA

Simone Mazzetti

Thomas Langer

Davide Paolo Bernasconi

Make your next move.