Neural Networks for Lung Cancer Detection through Radiomic Features. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (IJCNN, 2019)

A Blockchain Based Proposal for Protecting Healthcare Systems through Formal Methods. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (KES, 2019)

Radiomic Features for Medical Images Tamper Detection by Equivalence Checking. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (KES, 2019)

Formal Modeling for Magnetic Resonance Images Tamper Mitigation. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (KES, 2019)

Prostate Gleason Score Detection and Cancer Treatment Through Real-Time Formal Verification. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (IEEE Access, 2019)

Lung Cancer Detection and Characterisation through Genomic and Radiomic Biomarkers. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (IJCNN, 2020)

Deep learning for heart disease detection through cardiac sounds. - Luca Brunese; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2020)

Machine learning for coronavirus covid-19 detection from chest x-rays. - Luca Brunese; Fabio Martinelli; Francesco Mercaldo; Antonella Santone (KES, 2020)

An ensemble learning approach for brain cancer detection exploiting radiomic features. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (Comput. Methods Programs Biomed., 2020)

Explainable Deep Learning for Pulmonary Disease and Coronavirus COVID-19 Detection from X-rays. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (Comput. Methods Programs Biomed., 2020)

Radiomics for Gleason Score Detection through Deep Learning. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (Sensors, 2020)

A Methodology based on Formal Methods for Thermal Ablation Area Detection. - Luca Brunese; Francesco Mercaldo; Antonella Santone; Giuseppe Peter Vanoli (BIOINFORMATICS, 2021)

Thermal Ablation Treatment Detection by means of Machine Learning. - Luca Brunese; Francesco Mercaldo; Antonella Santone; Giuseppe Peter Vanoli (IJCNN, 2021)

Numerical analysis of the pulsating heat source effects in a tumor tissue. - Assunta Andreozzi; Luca Brunese; Marcello Iasiello; Claudio Tucci; Giuseppe Peter Vanoli (Comput. Methods Programs Biomed., 2021)

Numerical Investigation of a Thermal Ablation Porous Media-Based Model for Tumoral Tissue with Variable Porosity. - Assunta Andreozzi; Luca Brunese; Marcello Iasiello; Claudio Tucci; Giuseppe Peter Vanoli (Comput., 2021)

Automatic Gleason Score Diagnosis with Fuzzy Classification and Radiomic Features. - Luca Brunese; Francesco Mercaldo; Antonella Santone (FUZZ-IEEE, 2022)

A novel methodology for head and neck carcinoma treatment stage detection by means of model checking. - Luca Brunese; Francesco Mercaldo; Alfonso Reginelli; Antonella Santone (Artif. Intell. Medicine, 2022)

Explainability of radiomics through formal methods. - Giulia Varriano; Pasquale Guerriero; Antonella Santone; Francesco Mercaldo; Luca Brunese (Comput. Methods Programs Biomed., 2022)

Computational cost of CT Radiomics workflow: a case study on COVID-19. - Giulia Varriano; Valeria Sorgente; Francesco Mercaldo; Antonella Santone; Luca Brunese (COMPSAC, 2023)

Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation. - Francesco Mercaldo; Luca Brunese; Fabio Martinelli; Antonella Santone; Mario Cesarelli (Sensors, 2023)

Detecting Retinal Fundus Image Synthesis by Means of Generative Adversarial Network. - Francesco Mercaldo; Luca Brunese; Mario Cesarelli; Fabio Martinelli; Antonella Santone (BIOSTEC (1), 2024)

Spiral Drawing Test and Explainable Convolutional Neural Networks for Parkinson's Disease Detection. - Francesco Mercaldo; Luca Brunese; Mario Cesarelli; Fabio Martinelli; Antonella Santone (ICAART (2), 2024)

Detecting Parkinson's Disease Using the Spiral and Wave Drawing Test by Means of Explainable Deep Learning. - Antonella Santone; Mario Cesarelli; Fabio Martinelli; Luca Brunese; Francesco Mercaldo (ICAART (Revised Selected Paper, 2), 2024)

Preventing Epilepsy: a case study into Radiomics and pre-processing efficacy. - Giulia Varriano; Luigi Pavone; Simona Correra; Giancarlo Di Gennaro; Marcello Bartolo; Ferdinando Caranci; Antonella Santone; Luca Brunese (WETICE, 2024)

Extreme Learning Machine for Biomedical Image Classification: A Multi-Case Study. - Francesco Mercaldo; Luca Brunese; Antonella Santone; Fabio Martinelli; Mario Cesarelli (EAI Endorsed Trans. Pervasive Health Technol., 2024)

Exploring Bioimage Synthesis and Detection via Generative Adversarial Networks: A Multi-Faceted Case Study. - Valeria Sorgente; Dante Biagiucci; Mario Cesarelli; Luca Brunese; Antonella Santone; Fabio Martinelli; Francesco Mercaldo (J. Imaging, 2025)