A Semi-automatic Multi-seed Region-Growing Approach for Uterine Fibroids Segmentation in MRgFUS Treatment. - Carmelo Militello; Salvatore Vitabile; Giorgio Russo; Giuliana Candiano; Cesare Gagliardo; Massimo Midiri; Maria Carla Gilardi (CISIS, 2013)

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)

A GEANT4 Web-based Application to Support Intra-Operative Electron Radio-Therapy using the European Grid Infrastructure. - Carlo Casarino; Giorgio Russo; Giuliana Carmela; Giuseppe La Rocca; Roberto Barbera; Giovanni Borasi; Cristina Messa; Maria Carla Gilardi; Gianluca Passaro (IWSG, 2013)

Infrastructure Monitoring for Distributed Tier1: The ReCaS Project Use-Case. - Vania Boccia; L. Carraciuolo; Domenico del Prete; Silvio Pardi; Marica Antonacci; Giacinto Donvito; Alfonso Monaco; V. Spinoso; Giuseppe Andronico; Roberto Barbera; Marco Fargetta; Salvatore Monforte; et al. (INCoS, 2014)

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 2D segmentation method for uterine fibroid in MRgFUS treatment evaluation. - Carmelo Militello; Salvatore Vitabile; Leonardo Rundo; Giorgio Russo; Massimo Midiri; Maria Carla Gilardi (Comput. Biol. Medicine, 2015)

A GEANT4 web-based application to support Intra-Operative Electron Radiotherapy using the European grid infrastructure. - Carlo Casarino; Giorgio Russo; Giuliana Candiano; Giuseppe La Rocca; Roberto Barbera; Giovanni Borasi; Susanna Guatelli; Cristina Messa; Gianluca Passaro; Maria Carla Gilardi (Concurr. Comput. Pract. Exp., 2015)

Gamma Knife treatment planning: MR brain tumor segmentation and volume measurement based on unsupervised Fuzzy C-Means clustering. - Carmelo Militello; Leonardo Rundo; Salvatore Vitabile; Giorgio Russo; Pietro Pisciotta; Francesco Marletta; Massimo Ippolito; Corrado D'Arrigo; Massimo Midiri; Maria Carla Gilardi (Int. J. Imaging Syst. Technol., 2015)

Neuro-Radiosurgery Treatments: MRI Brain Tumor Seeded Image Segmentation Based on a Cellular Automata Model. - Leonardo Rundo; Carmelo Militello; Giorgio Russo; Pietro Pisciotta; Lucia Maria Valastro; Maria Gabriella Sabini; Salvatore Vitabile; Maria Carla Gilardi; Giancarlo Mauri (ACRI, 2016)

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)

Combining split-and-merge and multi-seed region growing algorithms for uterine fibroid segmentation in MRgFUS treatments. - Leonardo Rundo; Carmelo Militello; Salvatore Vitabile; Carlo Casarino; Giorgio Russo; Massimo Midiri; Maria Carla Gilardi (Medical Biol. Eng. Comput., 2016)

Semi-automatic Brain Lesion Segmentation in Gamma Knife Treatments Using an Unsupervised Fuzzy C-Means Clustering Technique. - Leonardo Rundo; Carmelo Militello; Salvatore Vitabile; Giorgio Russo; Pietro Pisciotta; Francesco Marletta; Massimo Ippolito; Corrado D'Arrigo; Massimo Midiri; Maria Carla Gilardi (Advances in Neural Networks, 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)

Automated Prostate Gland Segmentation Based on an Unsupervised Fuzzy C-Means Clustering Technique Using Multispectral T1w and T2w MR Imaging. - Leonardo Rundo; Carmelo Militello; Giorgio Russo; Antonio Garufi; Salvatore Vitabile; Maria Carla Gilardi; Giancarlo Mauri (Inf., 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)

NeXt for neuro-radiosurgery: A fully automatic approach for necrosis extraction in brain tumor MRI using an unsupervised machine learning technique. - Leonardo Rundo; Carmelo Militello; Andrea Tangherloni; Giorgio Russo; Salvatore Vitabile; Maria Carla Gilardi; Giancarlo Mauri (Int. J. Imaging Syst. Technol., 2018)

GTVcut for neuro-radiosurgery treatment planning: an MRI brain cancer seeded image segmentation method based on a cellular automata model. - Leonardo Rundo; Carmelo Militello; Giorgio Russo; Salvatore Vitabile; Maria Carla Gilardi; Giancarlo Mauri (Nat. Comput., 2018)

Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm. - Leonardo Rundo; Carmelo Militello; Giorgio Russo; Davide D'Urso; Lucia Maria Valastro; Antonio Garufi; Giancarlo Mauri; Salvatore Vitabile; Maria Carla Gilardi (Multidisciplinary Approaches to Neural Computing, 2018)

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)

A semi-automatic approach for epicardial adipose tissue segmentation and quantification on cardiac CT scans. - Carmelo Militello; Leonardo Rundo; Patrizia Toia; Vincenzo Conti; Giorgio Russo; Clarissa Filorizzo; Erica Maffei; Filippo Cademartiri; Ludovico La Grutta; Massimo Midiri; Salvatore Vitabile (Comput. Biol. Medicine, 2019)

A novel framework for MR image segmentation and quantification by using MedGA. - Leonardo Rundo; Andrea Tangherloni; Paolo Cazzaniga; Marco S. Nobile; Giorgio Russo; Maria Carla Gilardi; Salvatore Vitabile; Giancarlo Mauri; Daniela Besozzi; Carmelo Militello (Comput. Methods Programs Biomed., 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)

Computer-Assisted Approaches for Uterine Fibroid Segmentation in MRgFUS Treatments: Quantitative Evaluation and Clinical Feasibility Analysis. - Leonardo Rundo; Carmelo Militello; Andrea Tangherloni; Giorgio Russo; Roberto Lagalla; Giancarlo Mauri; Maria Carla Gilardi; Salvatore Vitabile (Quantifying and Processing Biomedical and Behavioral Signals, 2019)

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)

A Survey on Nature-Inspired Medical Image Analysis: A Step Further in Biomedical Data Integration. - Leonardo Rundo; Carmelo Militello; Salvatore Vitabile; Giorgio Russo; Evis Sala; Maria Carla Gilardi (Fundam. Informaticae, 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)

MF2C3: Multi-Feature Fuzzy Clustering to Enhance Cell Colony Detection in Automated Clonogenic Assay Evaluation. - Carmelo Militello; Leonardo Rundo; Luigi Minafra; Francesco Paolo Cammarata; Marco Calvaruso; Vincenzo Conti; Giorgio Russo (Symmetry, 2020)

Using Deep Learning for Fast Dose Refinement in Proton Therapy. - Matteo Spezialetti; Fulvio Lapenna; Pasquale Caianiello; Francesco Fracchiolla; Federico Muciaccia; Giuseppe Placidi; Giorgio Russo; Filippo Mignosi (SMC, 2021)

A Computational Study on Temperature Variations in MRgFUS Treatments Using PRF Thermometry Techniques and Optical Probes. - Carmelo Militello; Leonardo Rundo; Fabrizio Vicari; Luca Agnello; Giovanni Borasi; Salvatore Vitabile; Giorgio Russo (J. Imaging, 2021)

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)

Semi-automated and interactive segmentation of contrast-enhancing masses on breast DCE-MRI using spatial fuzzy clustering. - Carmelo Militello; Leonardo Rundo; Mariangela Dimarco; Alessia Orlando; Vincenzo Conti; Ramona Woitek; Ildebrando D'Angelo; Tommaso Vincenzo Bartolotta; Giorgio Russo (Biomed. Signal Process. Control., 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)

Spread-Out Bragg Peak in Treatment Planning System by Mixed Integer Linear Programming: a Proof of Concept. - Matteo Spezialetti; Ramon Gimenez De Lorenzo; Giovanni Luca Gravina; Giuseppe Placidi; Fabrizio Rossi; Giorgio Russo; Stefano Smriglio; Francesca Vittorini; Filippo Mignosi (CBMS, 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)

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)