AREA RISERVATA

AREA RISERVATA

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     Ing. Stefano Stefano Alessandro

 
Bio sketch
 

Laurea degree (summa cum laude) in Computer Engineering

Ph.D. in Computer Engineering. 

 

Since 2023, he has been a Senior Researcher at IBSBC in Cefalù.

 
ORCID ID: 0000-0002-7189-1731
ResearcherID: E-4432-2013

Scopus Author ID: 35794207900

 

graphical abstract

Research Area

 

Non-invasive image processing with a particular focus on Positron Emission Tomography (PET), Computed Tomography (CT) and Magnetic Resonance Imaging (MRI)

Big data, Radiomics and Artificial Intelligence in Clinical Health Care Applications

Processing, quantification, and correction methods for ex-vivo and in-vivo medical images

 

CV

 

National collaborations

 

Fondazione Istituto G.Giglio di Cefalù

Azienda Ospedale Cannizzaro, Catania

Azienda Ospedaliera Universitaria Policlinico “G.Martino”, Messina 

IRCCS Azienda Ospedaliera Metropolitana di Genova, Ospedale Policlinico San Martino, Genova

Fondazione Ri.MED, Palermo

Sapienza Università, Roma

Università di Cagliari

 

International collaborations

 

Prof. Anthony Yezzi, Laboratory of Computational Computer Vision (LCCV), School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, USA

        Dr. Anna Scavuzzo, National Cancer Institute, Department of Urology, AutonomousUniversity of Mexico (UNAM), Mexico City

      Professor Antonio Leal, Department of Medical Physiology and Biophysics at theUniversity of Seville and the Institute of Biomedicine of Seville (IBiS), Spain

 

References

 

    • Stefano A. Challenges and Limitations in Applying Radiomics to PET Imaging: Possible Opportunities and Avenues for Research. Comput. Biol. Med. (2024), 179, 108827. https://doi.org/10.1016/j.compbiomed.2024.108827  
    • Lauciello N., Russo G. & Stefano A. Radiomics in preclinical imaging: current trends and future directions. Clin Transl Imaging(2026). https://doi.org/10.1007/s40336-026-00763-x
    • Bauckneht M, Pasini G, Di Raimondo T, Russo G, Raffa S, Donegani MI, Dubois D, Peñuela L, Sofia L, Celesti G, Bini F, Marinozzi F, Lanfranchi F, Laudicella R, Sambuceti G, & Stefano A. [18F]PSMA-1007 PET/CT-based radiomics may help enhance the interpretation of bonefocal uptakes in hormone-sensitive prostate cancer patients. Eur J Nucl Med Mol Imaging 52, 2076-2086 (2025). doi: 10.1007/s00259-025-07085-6
    • Scavuzzo, A., Pasini, G., Perez, O.G., Gimenez Rios MA, Hernández MA, Pedrero-Piedras R, Pérez Montiel MD, Moreno NS, Russo G, & Stefano A.  Radiomics-based machine learning models for predicting genomic alterations in metastatic prostate cancer using PSMA PET imaging: a pilot study. EJNMMI Rep. 9, 42 (2025). https://doi.org/10.1186/s41824-025-00280-6 
    • Pasini G; Bini F; Russo G; Comelli A; Marinozzi F & Stefano A. matRadiomics: A Novel and Complete Radiomics Framework, from Image Visualization to Predictive Model. J. Imaging (2022), 8, 221. https://doi.org/10.3390/jimaging8080221 
    • Comelli A, Stefano A*, Bignardi S, Russo G, Sabini MG, Ippolito M, Barone S, Yezzi A. Active contour algorithm with discriminant analysis for delineating tumors in positron emission tomography. Artif Intell Med, (2019) ISSN: 0933-3657
    • Gallivanone F, Stefano A, Grosso E, Canevari C, Gianolli L, Messa C, Gilardi MC, & Castiglioni I. PVE correction in PET-CT whole-body oncological studies from PVE-affected images. IEEE Trans Nucl Sci (2011);58:736–47.