A Graph-Based Method for PET Image Segmentation in Radiotherapy Planning: A Pilot Study. - Alessandro Stefano; Salvatore Vitabile; Giorgio Russo; Massimo Ippolito; Daniele Sardina; Maria G. Sabini; Francesca Gallivanone; Isabella Castiglioni; Maria Carla Gilardi (ICIAP (2), 2013)

An Automatic Method for Metabolic Evaluation of Gamma Knife Treatments. - Alessandro Stefano; Salvatore Vitabile; Giorgio Russo; Massimo Ippolito; Franco Marletta; Corrado D'Arrigo; Davide D'Urso; Maria G. Sabini; Orazio Gambino; Roberto Pirrone; Edoardo Ardizzone; Maria Carla Gilardi (ICIAP (1), 2015)

A fully automatic method for biological target volume segmentation of brain metastases. - Alessandro Stefano; Salvatore Vitabile; Giorgio Russo; Massimo Ippolito; Franco Marletta; Corrado D'Arrigo; Davide D'Urso; Orazio Gambino; Roberto Pirrone; Edoardo Ardizzone; Maria Carla Gilardi (Int. J. Imaging Syst. Technol., 2016)

A fully automatic approach for multimodal PET and MR image segmentation in gamma knife treatment planning. - Leonardo Rundo; Alessandro Stefano; Carmelo Militello; Giorgio Russo; Maria Gabriella Sabini; Corrado D'Arrigo; Francesco Marletta; Massimo Ippolito; Giancarlo Mauri; Salvatore Vitabile; Maria Carla Gilardi (Comput. Methods Programs Biomed., 2017)

An enhanced random walk algorithm for delineation of head and neck cancers in PET studies. - Alessandro Stefano; Salvatore Vitabile; Giorgio Russo; Massimo Ippolito; Maria Gabriella Sabini; Daniele Sardina; Orazio Gambino; Roberto Pirrone; Edoardo Ardizzone; Maria Carla Gilardi (Medical Biol. Eng. Comput., 2017)

A smart and operator independent system to delineate tumours in Positron Emission Tomography scans. - Albert Comelli; Alessandro Stefano; Giorgio Russo; Maria Gabriella Sabini; Massimo Ippolito; Samuel Bignardi; Giovanni Petrucci; Anthony J. Yezzi (Comput. Biol. Medicine, 2018)

A Fully Automated Segmentation System of Positron Emission Tomography Studies. - Albert Comelli; Alessandro Stefano (MIUA, 2019)

Tissue Classification to Support Local Active Delineation of Brain Tumors. - Albert Comelli; Alessandro Stefano; Samuel Bignardi; Claudia Coronnello; Giorgio Russo; Maria G. Sabini; Massimo Ippolito; Anthony J. Yezzi (MIUA, 2019)

Active contour algorithm with discriminant analysis for delineating tumors in positron emission tomography. - Albert Comelli; Alessandro Stefano; Samuel Bignardi; Giorgio Russo; Maria Gabriella Sabini; Massimo Ippolito; Stefano Barone; Anthony J. Yezzi (Artif. Intell. Medicine, 2019)

K-nearest neighbor driving active contours to delineate biological tumor volumes. - Albert Comelli; Alessandro Stefano; Giorgio Russo; Samuel Bignardi; Maria Gabriella Sabini; Giovanni Petrucci; Massimo Ippolito; Anthony J. Yezzi (Eng. Appl. Artif. Intell., 2019)

Active Surface for Fully 3D Automatic Segmentation. - Albert Comelli; Alessandro Stefano (ICPR Workshops (1), 2020)

Radiomics: A New Biomedical Workflow to Create a Predictive Model. - Albert Comelli; Alessandro Stefano; Claudia Coronnello; Giorgio Russo; Federica Vernuccio; Roberto Cannella; Giuseppe Salvaggio; Roberto Lagalla; Stefano Barone (MIUA, 2020)

A preliminary PET radiomics study of brain metastases using a fully automatic segmentation method. - Alessandro Stefano; Albert Comelli; Valentina Bravatà; Stefano Barone; Igor Daskalovski; Gaetano Savoca; Maria Gabriella Sabini; Massimo Ippolito; Giorgio Russo (BMC Bioinform., 2020)

Development of a new fully three-dimensional methodology for tumours delineation in functional images. - Albert Comelli; Samuel Bignardi; Alessandro Stefano; Giorgio Russo; Maria Gabriella Sabini; Massimo Ippolito; Anthony J. Yezzi (Comput. Biol. Medicine, 2020)

Lung Segmentation on High-Resolution Computerized Tomography Images Using Deep Learning: A Preliminary Step for Radiomics Studies. - Albert Comelli; Claudia Coronnello; Navdeep Dahiya; Viviana Benfante; Stefano Palmucci; Antonio Basile; Carlo Vancheri; Giorgio Russo; Anthony J. Yezzi; Alessandro Stefano (J. Imaging, 2020)

Radiomics and Prostate MRI: Current Role and Future Applications. - Giuseppe Cutaia; Giuseppe La Tona; Albert Comelli; Federica Vernuccio; Francesco Agnello; Cesare Gagliardo; Leonardo Salvaggio; Natale Quartuccio; Letterio Sturiale; Alessandro Stefano; Mauro Calamia; Gaspare Arnone; et al. (J. Imaging, 2021)

Customized Efficient Neural Network for COVID-19 Infected Region Identification in CT Images. - Alessandro Stefano; Albert Comelli (J. Imaging, 2021)

Combining Convolutional Neural Networks and Anatomical Shape-Based Priors for Cardiac Segmentation. - Samuel Bignardi; Anthony J. Yezzi; Navdeep Dahiya; Albert Comelli; Alessandro Stefano; Marina Piccinelli; Ernest Garcia (ICIAP Workshops (1), 2022)

PET Images Atlas-Based Segmentation Performed in Native and in Template Space: A Radiomics Repeatability Study in Mouse Models. - Paolo Giaccone; Viviana Benfante; Alessandro Stefano; Francesco Paolo Cammarata; Giorgio Russo; Albert Comelli (ICIAP Workshops (1), 2022)

MRI-Based Radiomics Analysis for Identification of Features Correlated with the Expanded Disability Status Scale of Multiple Sclerosis Patients. - Valentina Nepi; Giovanni Pasini; Fabiano Bini; Franco Marinozzi; Giorgio Russo; Alessandro Stefano (ICIAP Workshops (1), 2022)

matRadiomics: From Biomedical Image Visualization to Predictive Model Implementation. - Giovanni Pasini; Fabiano Bini; Giorgio Russo; Franco Marinozzi; Alessandro Stefano (ICIAP Workshops (1), 2022)

Automatic Liver Segmentation in Pre-TIPS Cirrhotic Patients: A Preliminary Step for Radiomics Studies. - Anna Maria Pavone; Viviana Benfante; Alessandro Stefano; Giuseppe Mamone; Mariapina Milazzo; Ambra Di Pizza; Rosalba Parenti; Luigi Maruzzelli; Roberto Miraglia; Albert Comelli (ICIAP Workshops (1), 2022)

A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative 64Cu-Labeled Chelator in Mouse Models. - Viviana Benfante; Alessandro Stefano; Albert Comelli; Paolo Giaccone; Francesco Paolo Cammarata; Selene Richiusa; Fabrizio Scopelliti; Marco Pometti; Milene Ficarra; Sebastiano Cosentino; Marcello Lunardon; Francesca Mastrotto; et al. (J. Imaging, 2022)

matRadiomics: A Novel and Complete Radiomics Framework, from Image Visualization to Predictive Model. - Giovanni Pasini; Fabiano Bini; Giorgio Russo; Albert Comelli; Franco Marinozzi; Alessandro Stefano (J. Imaging, 2022)

Prediction of High Pathological Grade in Prostate Cancer Patients Undergoing [18F]-PSMA PET/CT: A Preliminary Radiomics Study. - Alessandro Stefano; Cristina Mantarro; Selene Richiusa; Giovanni Pasini; Maria Gabriella Sabini; Sebastiano Cosentino; Massimo Ippolito (ICIAP Workshops (2), 2023)

CT Rendering and Radiomic Analysis in Post-Chemotherapy Retroperitoneal Lymph Node Dissection for Testicular Cancer to Anticipate Difficulties for Young Surgeons. - Anna Scavuzzo; Pavel Figueroa-Rodriguez; Alessandro Stefano; Nallely Jimenez Guedulain; Sebastian Muruato Araiza; Jose de Jesus Cendejas Gomez; Alejandro Quiroz Compeaán; Dimas O. Victorio Vargas; Miguel A. Jiménez-Ríos (J. Imaging, 2023)

Radiomics Analyses to Predict Histopathology in Patients with Metastatic Testicular Germ Cell Tumors before Post-Chemotherapy Retroperitoneal Lymph Node Dissection. - Anna Scavuzzo; Giovanni Pasini; Elisabetta Crescio; Miguel A. Jiménez-Ríos; Pavel Figueroa-Rodriguez; Albert Comelli; Giorgio Russo; Ivan Calvo Vazquez; Sebastian Muruato Araiza; David Gomez Ortiz; Delia Perez Montiel; Alejandro Lopez Saavedra; et al. (J. Imaging, 2023)

Challenges and limitations in applying radiomics to PET imaging: Possible opportunities and avenues for research. - Alessandro Stefano (Comput. Biol. Medicine, 2024)

Preclinical Implementation of matRadiomics: A Case Study for Early Malformation Prediction in Zebrafish Model. - Fabiano Bini; Elisa Missori; Gaia Pucci; Giovanni Pasini; Franco Marinozzi; Giusi Irma Forte; Giorgio Russo; Alessandro Stefano (J. Imaging, 2024)

Development and Implementation of an Innovative Framework for Automated Radiomics Analysis in Neuroimaging. - Chiara Camastra; Giovanni Pasini; Alessandro Stefano; Giorgio Russo; Basilio Vescio; Fabiano Bini; Franco Marinozzi; Antonio Augimeri (J. Imaging, 2024)

Mammography Classification: How Useful is Machine Learning? A Radiomics Study and Future Perspectives. - Nicolò Lauciello; Eleonora Giovagnoli; Giovanni Pasini; Fabiano Bini; Franco Marinozzi; Giorgio Russo; Alessandro Stefano (CBMS, 2025)