A. Bevilacqua

发表

CIDRE: an illumination-correction method for optical microscopy

Yunpeng Li, F. Piccinini, P. Horváth, 2015, Nature Methods.

Modeling of Beam Loss Induced Quenches in the LHC Main Dipole Magnets

A. Bevilacqua, L. Bottura, M. Breschi, 2019, IEEE Transactions on Applied Superconductivity.

Analysis of Beam-Induced Quenches of the LHC Cables With a Multi-Strand Model

A. Bevilacqua, L. Bottura, M. Breschi, 2015, IEEE Transactions on Applied Superconductivity.

A new holistic 3D non-invasive analysis of cellular distribution and motility on fibroin-alginate microcarriers using light sheet fluorescent microscopy

F. Piccinini, A. Bevilacqua, S. Duchi, 2017, PloS one.

Semi-quantitative monitoring of confluence of adherent mesenchymal stromal cells on calcium-phosphate granules by using widefield microscopy images

F. Piccinini, A. Bevilacqua, E. Lucarelli, 2014, Journal of Materials Science: Materials in Medicine.

Advances in cancer modeling: fluidic systems for increasing representativeness of large 3D multicellular spheroids.

Alessandro Bevilacqua, Filippo Piccinini, Ilaria De Santis, 2018, BioTechniques.

An Effective Multi-Stag eB ackground Generatio nA lgorithm

L. D. Stefano, A. Bevilacqua, A. Lanza, 2005 .

Cell Counting and Viability Assessment of 2D and 3D Cell Cultures: Expected Reliability of the Trypan Blue Assay

F. Piccinini, A. Bevilacqua, A. Tesei, 2017, Biological Procedures Online.

Multicentre analysis of blood flow values of normal liver in CT perfusion examinations of patients with colorectal cancer

A. Bevilacqua, M. Ronot, V. Vilgrain, 2017 .

Image Processing Simulations for the BepiColombo Rotation Experiment

A. Bevilacqua, A. Genova, P. Palumbo, 2011 .

Multichannel Image Mosaicing of Stem Cells

F. Piccinini, A. Bevilacqua, A. Gherardi, 2010 .

Reliable measurement of E. coli single cell fluorescence distribution using a standard microscope set-up

A. Bevilacqua, S. Furini, E. Giordano, 2017, Journal of biological engineering.

TP53 drives abscopal effect by secretion of senescence-associated molecular signals in non-small cell lung cancer

A. Bevilacqua, A. Tesei, L. Strigari, 2020, Journal of experimental & clinical cancer research : CR.

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

A. Bevilacqua, M. Fiorentino, C. Gaudiano, 2022, Cancers.

SPACECRAFT ORBIT DETERMINATION ENHANCEMENT BY USING LOW-ALTITUDE PLANETARY OPTICAL IMAGES

A. Bevilacqua, P. Tortora, A. Gherardi, 2012 .

A Fast Binary Morphological Operator for Real Time SequenceAnalysis

Alessandro Bevilacqua, Alessandro Gherardi, A. Bevilacqua, 2006 .

An Automatic System for the Real-Time Characterization of Vehicle Headlamp Beams Exploiting Image Analysis

Alessandro Bevilacqua, Alessandro Gherardi, Ludovico Carozza, 2010, IEEE Transactions on Instrumentation and Measurement.

A fully automatic real time system for the characterization of automotive headlamps

Alessandro Bevilacqua, Alessandro Gherardi, Ludovico Carozza, 2009 .

Accurate eye-like segmentation in a heavily untextured contrasted scene

A. Bevilacqua, A. Gherardi, L. Carozza, 2008, 2008 First Workshops on Image Processing Theory, Tools and Applications.

Automatic Perspective Camera Calibration Based on an Incomplete Set of Chessboard Markers

Alessandro Bevilacqua, Alessandro Gherardi, Ludovico Carozza, 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.

Cell Counting and Viability Assessment of 2D and 3D Cell Cultures: Expected Reliability of the Trypan Blue Assay

F. Piccinini, A. Bevilacqua, A. Tesei, 2017, Biological Procedures Online.

A Fast and Reliable Image Mosaicing Technique with Application to Wide Area Motion Detection

Alessandro Bevilacqua, Pietro Azzari, A. Bevilacqua, 2007, ICIAR.

High-Quality Real Time Motion Detection Using PTZ Cameras

Alessandro Bevilacqua, Pietro Azzari, A. Bevilacqua, 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

An effective real-time mosaicing algorithm apt to detect motion through background subtraction using a PTZ camera

Luigi di Stefano, Alessandro Bevilacqua, Pietro Azzari, 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..

A CAPACITIVE IMAGE ANALYSIS SYSTEM TO CHARACTERIZE THE SKIN SURFACE

Alessandro Bevilacqua, Alessandro Gherardi, A. Bevilacqua, 2009 .

A novel approach for semi-quantitative assessment of reliability of blood flow values in DCE-CT perfusion

Alessandro Bevilacqua, Domenico Barone, Giampaolo Gavelli, 2017, Biomed. Signal Process. Control..

Long term morphological characterization of mesenchymal stromal cells 3D spheroids built with a rapid method based on entry-level equipment

F. Piccinini, A. Bevilacqua, S. Duchi, 2016, Cytotechnology.

3D tumor spheroid models for in vitro therapeutic screening: a systematic approach to enhance the biological relevance of data obtained

Alessandro Bevilacqua, Filippo Piccinini, Anna Tesei, 2016, Scientific Reports.

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

Alessandro Bevilacqua, Margherita Mottola, A. Bevilacqua, 2021, Biomed. Signal Process. Control..

The effects of baseline length in Computed Tomography perfusion of liver

Alessandro Bevilacqua, Domenico Barone, Silvia Malavasi, 2020, Biomed. Signal Process. Control..

Liver CT perfusion: which is the relevant delay that reduces radiation dose and maintains diagnostic accuracy?

Alessandro Bevilacqua, Silvia Malavasi, A. Bevilacqua, 2019, European Radiology.

Automated image mosaics by non‐automated light microscopes: the MicroMos software tool

F Piccinini, E Lucarelli, A Bevilacqua, 2013, Journal of microscopy.

Identification of Sclerostin as a Putative New Myokine Involved in the Muscle-to-Bone Crosstalk

A. Bevilacqua, J. Bertacchini, S. Biressi, 2021, Biomedicines.

A High Performance Exact Histogram Specification Algorithm

Alessandro Bevilacqua, Pietro Azzari, A. Bevilacqua, 2007, 14th International Conference on Image Analysis and Processing (ICIAP 2007).

A novel approach to change detection based on a coarse-to-fine strategy

Luigi di Stefano, Alessandro Bevilacqua, Alessandro Lanza, 2005, IEEE International Conference on Image Processing 2005.

Coarse-to-fine strategy for robust and efficient change detectors

Luigi di Stefano, Alessandro Bevilacqua, Alessandro Lanza, 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..

People Tracking Using a Time-of-Flight Depth Sensor

Luigi di Stefano, Alessandro Bevilacqua, Pietro Azzari, 2006, 2006 IEEE International Conference on Video and Signal Based Surveillance.

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

A. Bevilacqua, D. Barone, G. Gavelli, 2021, Diagnostics.

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

A. Bevilacqua, V. Ambrosini, S. Fanti, 2021, Diagnostics.

Human, All Too Human? An All-Around Appraisal of the “Artificial Intelligence Revolution” in Medical Imaging

E. Neri, A. Bevilacqua, R. Golfieri, 2021, Frontiers in Psychology.

Effects of guided random sampling of TCCs on blood flow values in CT perfusion studies of lung tumors.

Agostino Gibaldi, Alessandro Bevilacqua, Silvia Malavasi, 2015, Academic radiology.

Characterization of a capacitive imaging system for skin surface analysis

A. Bevilacqua, A. Gherardi, A. Bevilacqua, 2008, 2008 First Workshops on Image Processing Theory, Tools and Applications.

A novel algorithm to detect the baseline value of a time signal in Dynamic Contrast Enhanced-Computed Tomography

Alessandro Bevilacqua, Silvia Malavasi, A. Bevilacqua, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Improving reliability of live/dead cell counting through automated image mosaicing

Alessandro Bevilacqua, Filippo Piccinini, Anna Tesei, 2014, Comput. Methods Programs Biomed..

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

Alessandro Bevilacqua, Margherita Mottola, Domenico Barone, 2021, 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI).

Texture Analysis of Non-Small Cell Lung Cancer on Unenhanced CT and Blood Flow Maps: a Potential Prognostic Tool

Alessandro Bevilacqua, Giampaolo Gavelli, Serena Baiocco, 2019, 2019 24th Conference of Open Innovations Association (FRUCT).

Analysis of CT Perfusion Blood Flow Maps in Patients with Lung Cancer: Correlation with the Overall Survival

Alessandro Bevilacqua, Domenico Barone, Giampaolo Gavelli, 2018, 2018 23rd Conference of Open Innovations Association (FRUCT).

Automatic classification of lung tumour heterogeneity according to a visual-based score system in dynamic contrast enhanced CT sequences

Alessandro Bevilacqua, Serena Baiocco, A. Bevilacqua, 2016 .

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

F. Bazzoli, A. Bevilacqua, L. Ricciardiello, 2021, Diagnostics.

A. Bevilacqua, A. Gherardi, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Protein kinase B/AKT isoform 2 drives migration of human mesenchymal stem cells

S. Giannini, F. Piccinini, A. Bevilacqua, 2012, International journal of oncology.

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

Alessandro Bevilacqua, Anna Tesei, Ilaria De Santis, 2021, Sensors.

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

A. Bevilacqua, R. Golfieri, M. Renzulli, 2022, Cancers.

Single-image based methods used for non-invasive volume estimation of cancer spheroids: a practical assessing approach based on entry-level equipment

Alessandro Bevilacqua, Filippo Piccinini, Anna Tesei, 2016, Comput. Methods Programs Biomed..

Cancer multicellular spheroids: Volume assessment from a single 2D projection

Alessandro Bevilacqua, Filippo Piccinini, Anna Tesei, 2015, Comput. Methods Programs Biomed..

Image processing method for 3D volume rendering from one 2D projection: Application to Cancer spheroids

Alessandro Bevilacqua, Filippo Piccinini, Anna Tesei, 2014, 2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA).

A Novel Spatio-temporal Approach to Handle Occlusions in Vehicle Tracking

A. Bevilacqua, Stefano Vaccari, 2006, ICIAR.

Exploratory radiomic features from integrated 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging are associated with contemporaneous metastases in oesophageal/gastroesophageal cancer

V. Goh, A. Bevilacqua, G. Cook, 2019, European Journal of Nuclear Medicine and Molecular Imaging.

Quantitative assessment of effects of motion compensation for liver and lung tumors in CT perfusion.

Alessandro Bevilacqua, Silvia Malavasi, Domenico Barone, 2014, Academic radiology.

A New Approach to Image Reconstruction in Positron Emission Tomography Using Artificial Neural Networks

Alessandro Bevilacqua, Dante Bollini, Renato Campanini, 1998 .

Open-Source Tools for Volume Estimation of 3D Multicellular Aggregates

Alessandro Bevilacqua, Filippo Piccinini, Ervin Tasnadi, 2019, Applied Sciences.

Colour Vignetting Correction for Microscopy Image Mosaics Used for Quantitative Analyses

Alessandro Bevilacqua, Filippo Piccinini, F. Piccinini, 2018, BioMed research international.

Multi‐image based method to correct vignetting effect in light microscopy images

F Piccinini, E Lucarelli, A Gherardi, 2012, Journal of microscopy.

A Methodological Approach to Parallel Simulated Annealing on an SMP System

Alessandro Bevilacqua, A. Bevilacqua, 2002, J. Parallel Distributed Comput..

A novel approach to mass detection in digital mammography based on Support Vector Machines(SVM)

Alessandro Bevilacqua, Armando Bazzani, Dante Bollini, 2003 .

An SVM classifier to separate false signals from microcalcifications in digital mammograms

A Bazzani, A Bevilacqua, D Bollini, 2001, Physics in medicine and biology.

An efficient change detection algorithm based on a statistical nonparametric camera noise model

Luigi di Stefano, Alessandro Bevilacqua, Alessandro Lanza, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Automatic detection of clustered microcalcifications using a combined method and an SVM classifier

Alessandro Bevilacqua, Armando Bazzani, Dante Bollini, 2007 .

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

Alessandro Bevilacqua, Laura Calzà, Ilaria De Santis, 2021, Sensors.

F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging are associated with contemporaneousmetastases in oesophageal/gastroesophageal cancer

A. Bevilacqua, R. Neji, S. Jeljeli, 2019 .

An SVM classifier to separate false signals from microcalcifications in digital mammograms

N. Lanconelli, R. Campanini, A. Bevilacqua, 2001, Physics in Medicine and Biology.

CT Perfusion in Patients with Lung Cancer: Squamous Cell Carcinoma and Adenocarcinoma Show a Different Blood Flow

A. Bevilacqua, D. Barone, G. Gavelli, 2018, BioMed research international.

Automatic detection of misleading blood flow values in CT perfusion studies of lung cancer

Alessandro Bevilacqua, Domenico Barone, Silvia Malavasi, 2016, Biomed. Signal Process. Control..

CT perfusion studies of lung cancer: automatic detection of misleading structures and artefacts

A. Bevilacqua, D. Barone, G. Gavelli, 2015 .

Baseline values of DCE-CT of liver in patients with colorectal cancer

A. Bevilacqua, M. Ronot, V. Vilgrain, 2017 .

Values of the unenhanced stage of CT perfusion studies of liver: a multi-centre experience

A. Bevilacqua, M. Ronot, V. Vilgrain, 2017 .

Multislice Analysis of Blood Flow Values in CT Perfusion Studies of Lung Cancer

A. Bevilacqua, D. Barone, G. Gavelli, 2017, BioMed research international.

ReViMS: Software tool for estimating the volumes of 3-D multicellular spheroids imaged using a light sheet fluorescence microscope.

Alessandro Bevilacqua, Filippo Piccinini, Anna Tesei, 2017, BioTechniques.

Effective Shadow Detection in Traffic Monitoring Applications

Alessandro Bevilacqua, A. Bevilacqua, 2003, WSCG.

SYSTEM FOR AUTOMATIC DETECTION OF CLUSTERED MICROCALCIFICATIONS IN DIGITAL MAMMOGRAMS

Alessandro Bevilacqua, Rosa Brancaccio, Armando Bazzani, 2000 .