A Modal Error Indicator Based on a Work-Cancellation Property of Energy-Orthogonal Finite Elements. - Francisco Jose Brito Castro; Carmelo Militello (Int. J. Comput. Eng. Sci., 2001)

A Self-Contained Biometric Sensor for Ubiquitous Authentication. - Salvatore Vitabile; Vincenzo Conti; Carmelo Militello; Filippo Sorbello (IPC, 2007)

A Novel Embedded Fingerprints Authentication System Based on Singularity Points. - Carmelo Militello; Vincenzo Conti; Filippo Sorbello; Salvatore Vitabile (CISIS, 2008)

An Embedded Fingerprints Classification System based on Weightless Neural Networks. - Vincenzo Conti; Carmelo Militello; Filippo Sorbello; Salvatore Vitabile (WIRN, 2008)

A User-Friendly Interface for Fingerprint Recognition Systems Based on Natural Language Processing. - Vincenzo Conti; Carmelo Militello; Salvatore Vitabile; Filippo Sorbello (CISIS, 2009)

An Embedded Module for Iris Micro-Characteristics Extraction. - Carmelo Militello; Vincenzo Conti; Salvatore Vitabile; Filippo Sorbello (CISIS, 2009)

An extended JADE-S based framework for developing secure Multi-Agent Systems. - Salvatore Vitabile; Vincenzo Conti; Carmelo Militello; Filippo Sorbello (Comput. Stand. Interfaces, 2009)

A multimodal technique for an embedded fingerprint recognizer in mobile payment systems. - Vincenzo Conti; Carmelo Militello; Filippo Sorbello; Salvatore Vitabile (Mob. Inf. Syst., 2009)

Introducing Pseudo-Singularity Points for Efficient Fingerprints Classification and Recognition. - Vincenzo Conti; Carmelo Militello; Salvatore Vitabile; Filippo Sorbello (CISIS, 2010)

An embedded IRIS recognizer for portable and mobile devices. - Carmelo Militello; Vincenzo Conti; Filippo Sorbello; Salvatore Vitabile (Comput. Syst. Sci. Eng., 2010)

A Frequency-based Approach for Features Fusion in Fingerprint and Iris Multimodal Biometric Identification Systems. - Vincenzo Conti; Carmelo Militello; Filippo Sorbello; Salvatore Vitabile (IEEE Trans. Syst. Man Cybern. Part C, 2010)

An Embedded Processor for Metabolic Networks Optimization. - Vincenzo Conti; Salvatore Vitabile; Carmelo Militello; Barbara Lanza; Filippo Sorbello (CISIS, 2011)

A Programmable Networked Processing Node for 3D Brain Vessels Reconstruction. - Salvatore Vitabile; Carmelo Militello; Filippo Sorbello; Leonard Barolli (NBiS, 2011)

Embedded access points for trusted data and resources access in HPC systems. - Carmelo Militello; Vincenzo Conti; Salvatore Vitabile; Filippo Sorbello (J. Supercomput., 2011)

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 fast fusion technique for fingerprint and iris spatial descriptors in multimodal biometric systems. - Carmelo Militello; Vincenzo Conti; Filippo Sorbello; Salvatore Vitabile (Comput. Syst. Sci. Eng., 2014)

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)

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)

Biometric sensors rapid prototyping on field-programmable gate arrays. - Vincenzo Conti; Carmelo Militello; Filippo Sorbello; Salvatore Vitabile (Knowl. Eng. Rev., 2015)

Radial Basis Function Interpolation for Referenceless Thermometry Enhancement. - Luca Agnello; Carmelo Militello; Cesare Gagliardo; Salvatore Vitabile (Advances in Neural Networks, 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)

Multimodal medical image registration using Particle Swarm Optimization: A review. - Leonardo Rundo; Andrea Tangherloni; Carmelo Militello; Maria Carla Gilardi; Giancarlo Mauri (SSCI, 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)

Area-based cell colony surviving fraction evaluation: A novel fully automatic approach using general-purpose acquisition hardware. - Carmelo Militello; Leonardo Rundo; Vincenzo Conti; Luigi Minafra; Francesco Paolo Cammarata; Giancarlo Mauri; Maria Carla Gilardi; Nunziatina Porcino (Comput. Biol. Medicine, 2017)

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)

Resource-Efficient Hardware Implementation of a Neural-based Node for Automatic Fingerprint Classification. - Vincenzo Conti; Leonardo Rundo; Carmelo Militello; Giancarlo Mauri; Salvatore Vitabile (J. Wirel. Mob. Networks Ubiquitous Comput. Dependable Appl., 2017)

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)

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)

CNN-based Prostate Zonal Segmentation on T2-weighted MR Images: A Cross-dataset Study. - Leonardo Rundo; Changhee Han; Jin Zhang; Ryuichiro Hataya; Yudai Nagano; Carmelo Militello; Claudio Ferretti; Marco S. Nobile; Andrea Tangherloni; Maria Carla Gilardi; Salvatore Vitabile; Hideki Nakayama; et al. (CoRR, 2019)

MedGA: A novel evolutionary method for image enhancement in medical imaging systems. - Leonardo Rundo; Andrea Tangherloni; Marco S. Nobile; Carmelo Militello; Daniela Besozzi; Giancarlo Mauri; Paolo Cazzaniga (Expert Syst. Appl., 2019)

USE-Net: Incorporating Squeeze-and-Excitation blocks into U-Net for prostate zonal segmentation of multi-institutional MRI datasets. - Leonardo Rundo; Changhee Han; Yudai Nagano; Jin Zhang; Ryuichiro Hataya; Carmelo Militello; Andrea Tangherloni; Marco S. Nobile; Claudio Ferretti; Daniela Besozzi; Maria Carla Gilardi; Salvatore Vitabile; et al. (Neurocomputing, 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)

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)

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)

CNN-Based Prostate Zonal Segmentation on T2-Weighted MR Images: A Cross-Dataset Study. - Leonardo Rundo; Changhee Han; Jin Zhang; Ryuichiro Hataya; Yudai Nagano; Carmelo Militello; Claudio Ferretti; Marco S. Nobile; Andrea Tangherloni; Maria Carla Gilardi; Salvatore Vitabile; Hideki Nakayama; et al. (Neural Approaches to Dynamics of Signal Exchanges, 2020)

A multimodal retina-iris biometric system using the Levenshtein distance for spatial feature comparison. - Vincenzo Conti; Leonardo Rundo; Carmelo Militello; Valerio Mario Salerno; Salvatore Vitabile; Sabato Marco Siniscalchi (IET Biom., 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)

Advanced Computational Methods for Oncological Image Analysis. - Leonardo Rundo; Carmelo Militello; Vincenzo Conti; Fulvio Zaccagna; Changhee Han (J. Imaging, 2021)

Fingerprint Classification Based on Deep Learning Approaches: Experimental Findings and Comparisons. - Carmelo Militello; Leonardo Rundo; Salvatore Vitabile; Vincenzo Conti (Symmetry, 2021)

A Novel Bio-Inspired Approach for High-Performance Management in Service-Oriented Networks. - Vincenzo Conti; Carmelo Militello; Leonardo Rundo; Salvatore Vitabile (IEEE Trans. Emerg. Top. Comput., 2021)

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)

Leveraging Diffuser Data Augmentation to Enhance ViT-Based Performance on Dermatoscopic Melanoma Images Classification. - Tiziana Currieri; Giovanni Cicceri; Sergio Cannata; Giansalvo Cirrincione; Marta Lovino; Carmelo Militello; Francesco Prinzi; Eros Pasero; Salvatore Vitabile (CIBB, 2023)

Breast Cancer Malignancy Prediction through Explainable Models based on a Multimodal Signature of Features. - Francesco Prinzi; Carmelo Militello; Tommaso Vincenzo Bartolotta; Salvatore Vitabile (CIBB, 2023)

ViT-Based Classification of Mammogram Images: Impact of Data Augmentation Techniques. - Sergio Cannata; Giovanni Cicceri; Giansalvo Cirrincione; Tiziana Currieri; Marta Lovino; Carmelo Militello; Eros Pasero; Francesco Prinzi; Salvatore Vitabile (WIRN, 2023)

Explainable Machine-Learning Models for COVID-19 Prognosis Prediction Using Clinical, Laboratory and Radiomic Features. - Francesco Prinzi; Carmelo Militello; Nicola Scichilone; Salvatore Gaglio; Salvatore Vitabile (IEEE Access, 2023)

Impact of Wavelet Kernels on Predictive Capability of Radiomic Features: A Case Study on COVID-19 Chest X-ray Images. - Francesco Prinzi; Carmelo Militello; Vincenzo Conti; Salvatore Vitabile (J. Imaging, 2023)

Transformer-Based Approach to Melanoma Detection. - Giansalvo Cirrincione; Sergio Cannata; Giovanni Cicceri; Francesco Prinzi; Tiziana Currieri; Marta Lovino; Carmelo Militello; Eros Pasero; Salvatore Vitabile (Sensors, 2023)

CT Radiomic Features and Clinical Biomarkers for Predicting Coronary Artery Disease. - Carmelo Militello; Francesco Prinzi; Giulia Sollami; Leonardo Rundo; Ludovico La Grutta; Salvatore Vitabile (Cogn. Comput., 2023)

Rad4XCNN: A new agnostic method for post-hoc global explanation of CNN-derived features by means of Radiomics. - Francesco Prinzi; Carmelo Militello; Calogero Zarcaro; Tommaso Vincenzo Bartolotta; Salvatore Gaglio; Salvatore Vitabile (Comput. Methods Programs Biomed., 2025)