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Alessandro Stefano

Primo Ricercatore

Consiglio Nazionale delle Ricerche

Italy

Research Interests

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Professors in Italy Professors in Medical Imaging Medical Imaging professors in Italy

Articles (20)

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2026

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2024

Collaborators (12)

Rosalba Parenti

Associate Professor

University of Catania

ITALY

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Ender Konukoglu

Associate Professor

ETH Zürich

SWITZERLAND

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Giuseppe Sergioli

Full Professor

University of Cagliari

ITALY

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Mario Merone

Assistant Professor (RTDA)

Università Campus Bio-Medico

ITALY

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Filippo Torrisi

Ricercatore di tipo b

University of Catania

ITALY

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Paolo Giaccone

Campus Bio Medico University Hospital

ITALY

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giovanni marzaro

Associate Professor

University of Padua

ITALY

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Franco Marinozzi

full Professor

Sapienza University of Rome

ITALY

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Matteo Bauckneht

University of Genoa

ITALY

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Fabiano Bini

Associate Professor

Università degli Studi di Roma La Sapienza

ITALY

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Antonino Tuttolomondo

Prof , MD, PhD, MSc

University of Palermo

ITALY

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Luca Sofia

University of Genoa

ITALY

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Alessandro Stefano

Research Interests

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Articles (20)

Enhancing PET/CT Radiomics Robustness Through Graph Signal Processing

Feasible radiomics workflow for the zebrafish model: a preliminary study

Graph Signal Processing as an Experimental Approach to Radiomics Analysis

Quantitative Preclinical Imaging as a Metrological Framework: Reproducibility, Validation, and Translational Maturity

Pretty Good Measurement for Radiomics: A Quantum-Inspired Multi-Class Classifier for Lung Cancer Subtyping and Prostate Cancer Risk Stratification

Digital Pathology‐Based Comparison of PyRadiomics and HistomicsTK for Nuclei Classification in Melanoma Whole Slide Images

A Fully Automatic Patch-Based Deep Learning Pipeline for Mass and Microcalcification Detection in Mammography: A Preliminary Study

Development and external validation of a multicenter radiomics-based machine learning model for differentiating metastatic and non-metastatic bone uptakes on [18F]PSMA-1007 PET/CT in prostate cancer

Machine Learning in Mammography Classification: A Radiomics-Based Evaluation and Developments

Preliminary Radiomics-Based Classification of Tumor Nuclei in Melanoma Histopathology

Comparative Evaluation of Machine Learning-Based Radiomics and Deep Learning for Breast Lesion Classification in Mammography

[18F]PSMA-1007 PET/CT-based radiomics may help enhance the interpretation of bone focal uptakes in hormone-sensitive prostate cancer patients

Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives

Radiomics-based machine learning models for predicting genomic alterations in metastatic prostate cancer using PSMA PET imaging: a pilot study

Biodistribution Assessment of a Novel <sup>68</sup>Ga-Labeled Radiopharmaceutical in a Cancer Overexpressing CCK2R Mouse Model: Conventional and Radiomics Methods for Analysis

Correction: PSMA‑positive prostatic volume prediction with deep learning based on T2‑weighted MRI

Implementation of Automatic Segmentation Framework as Preprocessing Step for Radiomics Analysis of Lung Anatomical Districts

Preclinical Implementation of matRadiomics: A Case Study for Early Malformation Prediction in Zebrafish Model

A Robust [18F]-PSMA-1007 Radiomics Ensemble Model for Prostate Cancer Risk Stratification

Challenges and limitations in applying radiomics to PET imaging: Possible opportunities and avenues for research

Collaborators (12)

Rosalba Parenti

Ender Konukoglu

Giuseppe Sergioli

Mario Merone

Filippo Torrisi

Paolo Giaccone

giovanni marzaro

Franco Marinozzi

Matteo Bauckneht

Fabiano Bini

Antonino Tuttolomondo

Luca Sofia

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