Alessandro Bevilacqua

University of Bologna

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Articles (12)

Collaborators (3)

Michele Zanoni

Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori

Claudio Ricci

Associate Professor

University of Bologna

Stefano Fanti

ALMA MATER STUDIORUM UNIVERSITY OF BOLOGNA

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Alessandro Bevilacqua

Research Interests

Explore related searches

Contact this professor

Articles (12)

Collaborators (3)

Michele Zanoni

Claudio Ricci

Stefano Fanti

Make your next move.

Alessandro Bevilacqua

Research Interests

Explore related searches

Contact this professor

Articles (12)

The Effectiveness of an Adaptive Method to Analyse the Transition between Tumour and Peritumour for Answering Two Clinical Questions in Cancer Imaging

An Apparent Diffusion Coefficient-Based Machine Learning Model Can Improve Prostate Cancer Detection in the Grey Area of the Prostate Imaging Reporting and Data System Category 3: A Single-Centre Experience

Pro-inflammatory RNA:DNA Hybrids Are p53 Independently Boosted by Hyperbaric Oxygen: a Subcellular Distribution Analysis by Automated Quantitative Imaging

Radiomic Features from Post-Operative 18F-FDG PET/CT and CT Imaging Associated with Locally Recurrent Rectal Cancer: Preliminary Findings

Letter to the Editor on “Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate cancer on MRI: a systematic review”

Beyond Multiparametric MRI and towards Radiomics to Detect Prostate Cancer: A Machine Learning Model to Predict Clinically Significant Lesions

Automatically Extracted Machine Learning Features from Preoperative CT to Early Predict Microvascular Invasion in HCC: The Role of the Zone of Transition (ZOT)

Co-Density Distribution Maps for Advanced Molecule Colocalization and Co-Distribution Analysis

A [68Ga]Ga-DOTANOC PET/CT Radiomic Model for Non-Invasive Prediction of Tumour Grade in Pancreatic Neuroendocrine Tumours

The Primacy of High B-Value 3T-DWI Radiomics in the Prediction of Clinically Significant Prostate Cancer

The Heterogeneity of Skewness in T2W-Based Radiomics Predicts the Response to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer

Density Distribution Maps: A Novel Tool for Subcellular Distribution Analysis and Quantitative Biomedical Imaging

Collaborators (3)

Michele Zanoni

Claudio Ricci

Stefano Fanti

Make your next move.