Alessandro Bevilacqua

Alessandro Bevilacqua

Università degli Studi di Bologna

H-index: 27

Europe-Italy

About Alessandro Bevilacqua

Alessandro Bevilacqua, With an exceptional h-index of 27 and a recent h-index of 16 (since 2020), a distinguished researcher at Università degli Studi di Bologna, specializes in the field of Computer vision, Pattern recognition, Image processing, Machine learning, Artificial intelligence in medicine.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

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

Beyond multiparametric MRI and towards radiomics to detect prostate cancer: A machine learning model to predict clinically significant lesions

Letter to the Editor on “Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate …

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 …

L'Intelligenza Artificiale nella diagnosi precoce nell'invasione microvascolare nell'epatocarcinoma in stadio iniziale

Scopo: Valutare, mediante analisi radiomica, le potenzialità della Zona di Transizione (ZT) tra carcinoma rettale localmente avanzato (LARC) e tessuto sano nella predizione dei …

Alessandro Bevilacqua Information

University

Position

___

Citations(all)

3580

Citations(since 2020)

1645

Cited By

2597

hIndex(all)

27

hIndex(since 2020)

16

i10Index(all)

72

i10Index(since 2020)

26

Email

University Profile Page

Università degli Studi di Bologna

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Alessandro Bevilacqua Skills & Research Interests

Computer vision

Pattern recognition

Image processing

Machine learning

Artificial intelligence in medicine

Top articles of Alessandro Bevilacqua

Title

Journal

Author(s)

Publication Date

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

Sensors

Margherita Mottola

Rita Golfieri

Alessandro Bevilacqua

2024/2/9

Pro-inflammatory RNA: DNA hybrids are p53 independently boosted by hyperbaric oxygen: a subcellular distribution analysis by automated quantitative imaging

Molecular Imaging and Biology

Ilaria De Santis

Michele Zanoni

Sara Pignatta

Pasquale Longobardi

Anna Tesei

...

2023/6

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

Journal of Clinical Medicine

Dajana Cuicchi

Margherita Mottola

Paolo Castellucci

Alessandro Bevilacqua

Arrigo Cattabriga

...

2023/3/6

Beyond multiparametric MRI and towards radiomics to detect prostate cancer: A machine learning model to predict clinically significant lesions

European Urology

Lorenzo Bianchi

Caterina Gaudiano

Margherita Mottola

Beniamino Corcioni

E Tonin

...

2023

Letter to the Editor on “Comparative performance of fully-automated and semi-automated artificial intelligence methods for the detection of clinically significant prostate …

Alessandro Bevilacqua

Margherita Mottola

2023/11/3

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 …

Cancers

Caterina Gaudiano

Margherita Mottola

Lorenzo Bianchi

Beniamino Corcioni

Lorenzo Braccischi

...

2023/6/30

L'Intelligenza Artificiale nella diagnosi precoce nell'invasione microvascolare nell'epatocarcinoma in stadio iniziale

Margherita Mottola

Renzulli Matteo

Alessandro Bevilacqua

Rita Golfieri

2022

Scopo: Valutare, mediante analisi radiomica, le potenzialità della Zona di Transizione (ZT) tra carcinoma rettale localmente avanzato (LARC) e tessuto sano nella predizione dei …

Margherita Mottola

Renzulli Matteo

Alessandro Bevilacqua

Rita Golfieri

2022

Automatically extracted machine learning features from preoperative CT to early predict microvascular invasion in HCC: The role of the zone of transition (ZOT)

Cancers

Matteo Renzulli

Margherita Mottola

Francesca Coppola

Maria Adriana Cocozza

Silvia Malavasi

...

2022/4/3

Functional roles of Nogo-A in tooth innervation

Pirenne Laurence

Ilaria DE SANTIS

Alessandro Bevilacqua

Pagella Pierfrancesco

Balic Anamaria

...

2022

Radiomic analysis performed on 68Ga-DOTANOC PET/CT allows discriminating primary pancreatic neuroendocrine tumour grading

INSIGHTS INTO IMAGING

A Bevilacqua

D Calabrò

S Malavasi

C Ricci

R Casadei

...

2021

Prostate Cancer Staging Based On High B-Value Diffusion Weighted Magnetic Resonance Imaging

Margherita Mottola

Alessandro Bevilacqua

F Ferroni

Giampaolo Gavelli

Domenico Barone

2021/4/13

Co-density distribution maps for advanced molecule colocalization and co-distribution analysis

Sensors

Ilaria De Santis

Luca Lorenzini

Marzia Moretti

Elisa Martella

Enrico Lucarelli

...

2021/9/24

Locally advanced rectal cancer: T2w-MRI-based radiomics may detect responder patients undergoing neoadjuvant chemoradiotherapy

INSIGHTS INTO IMAGING

Alessandro Bevilacqua

Margherita Mottola

Silvia LO MONACO

Arrigo Cattabriga

MARIA ADRIANA Cocozza

...

2021

Density distribution maps: a novel tool for subcellular distribution analysis and quantitative biomedical imaging

Sensors

Ilaria De Santis

Michele Zanoni

Chiara Arienti

Alessandro Bevilacqua

Anna Tesei

2021/2/2

Heterogeneity of skewness in T2w-MR images of locally advanced rectal cancer relates with response to neoadjuvant chemoradiotherapy

INSIGHTS INTO IMAGING

Alessandro Bevilacqua

Francesca Coppola

Margherita Mottola

Silvia LO MONACO

Arrigo Cattabriga

...

2021

Reproducibility of CT-based radiomic features against image resampling and perturbations for tumour and healthy kidney in renal cancer patients

Scientific Reports

Margherita Mottola

Stephan Ursprung

Leonardo Rundo

Lorena Escudero Sanchez

Tobias Klatte

...

2021/6/2

Reproducibility of Computed Tomography perfusion parameters in hepatic multicentre study in patients with colorectal cancer

Biomedical Signal Processing and Control

Margherita Mottola

Alessandro Bevilacqua

2021/2/1

Radiomic analysis could allow detecting misassigned bioptic grading when discriminating G1 and G2 primary pancreatic neuroendocrine tumours imaged with 68Ga-DOTANOC PET/CT

INSIGHTS INTO IMAGING

Silvia Malavasi

Diletta Calabrò

Alessandro Bevilacqua

Claudio Ricci

Riccardo Casadei

...

2021

[68Ga] Ga-DOTANOC PET/CT Derived Radiomic Features Can Discriminate Pancreatic Neuroendocrine Tumours from Accessory Spleens: Preliminary Results

EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING

Giulia Argalia

Silvia Malavasi

Emilia Fortunati

Diletta Calabrò

Davide Campana

...

2021

See List of Professors in Alessandro Bevilacqua University(Università degli Studi di Bologna)

Co-Authors

H-index: 31
Kevin Smith

Kevin Smith

Kungliga Tekniska högskolan

H-index: 25
Filippo Piccinini

Filippo Piccinini

Università degli Studi di Bologna

H-index: 10
Alessandro Gherardi

Alessandro Gherardi

Università degli Studi di Bologna

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