Riccardo De Robertis

Assistant Professor of Radiology

University of Verona

Italy

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Riccardo De Robertis is an Assistant Professor of Radiology at the University of Verona, Italy. His research areas include fatty pancreas disease, intraductal papillary mucinous neoplasms (IPMN), and the application of radiomics in hepato-bilio-pancreatic surgery. He has contributed to various recent articles focusing on imaging techniques and the clinical implications of fat quantification in liver disease.

Articles (15)

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2025

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2020

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2020

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2020

Collaborators (3)

Mirko D'Onofrio

Full Professor

University of Verona

ITALY

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Massimo Donadelli

University of Verona

ITALY

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Claudio Luchini

Associate Professor of Pathology

University of Verona

ITALY

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Riccardo De Robertis

Research Interests

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Articles (15)

Fatty Pancreas Disease: An Integrated Study on Frozen Tissues Shows Distinct Compartments of Interlobular/Intralobular, Intra-Acinar, and Intra-Islet Fat Deposition

Progression of Intraductal Papillary Mucinous Neoplasms (IPMN) is possible after 5 years of follow-up

Magnetic resonance imaging short protocols for intraductal papillary mucinous neoplasm (IPMN) surveillance: The time has come

Response to "Ultrasound-derived fat fraction is not yet ready for widespread clinical use" by Low et al

The role of radiomics in hepato-bilio-pancreatic surgery: a literature review

Ultrasound-derived fat fraction for detection of hepatic steatosis and quantification of liver fat content

Response to “Clinical application of US based hepatic fat quantification tools may be expedited by adherence to guidelines” by Sendur et al.

Correlation between ADC Histogram-Derived Metrics and the Time to Metastases in Resectable Pancreatic Adenocarcinoma

Liver metastases in pancreatic ductal adenocarcinoma: a predictive model based on CT texture analysis

A case of acute bilateral iodine‐induced submandibular sialadenitis: Ultrasound findings

CT Simplified Radiomic Approach to Assess the Metastatic Ductal Adenocarcinoma of the Pancreas

An Overview of Artificial Intelligence Applications in Liver and Pancreatic Imaging

Diffusion-Weighted Imaging in Oncology: An Update

Correlation of MR features and histogram-derived parameters with aggressiveness and outcomes after resection in pancreatic ductal adenocarcinoma

Liver tumor burden in pancreatic neuroendocrine tumors: Ct features and texture analysis in the prediction of tumor grade and<sup>18</sup>f-fdg uptake

Collaborators (3)

Mirko D'Onofrio

Massimo Donadelli

Claudio Luchini

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