ML-Based Radiomics Analysis for Breast Cancer Classification in DCE-MRI. - Francesco Prinzi; Alessia Orlando; Salvatore Gaglio; Massimo Midiri; Salvatore Vitabile (AII, 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 Depression Detection Using Handwriting Features. - Francesco Prinzi; Gennaro Raimo; Pietro Barbiero; Gennaro Cordasco; Pietro Liò; Salvatore Vitabile; Anna Esposito (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)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. - Yang Nan 002; Xiaodan Xing; Shiyi Wang; Zeyu Tang 001; Federico N. Felder; Sheng Zhang 024; Roberta Eufrasia Ledda; Xiaoliu Ding; Ruiqi Yu; Weiping Liu; Feng Shi 001; Tianyang Sun; et al. (CoRR, 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)

MUGI-MRI: Enhancing Breast Cancer Classification through Multiplex Graph Neural Networks in DCE-MRI. - Francesco Ceccarelli; Francesco Prinzi; Pietro Liò; Salvatore Vitabile; Sean B. Holden (IJCNN, 2024)

Breast cancer classification through multivariate radiomic time series analysis in DCE-MRI sequences. - Francesco Prinzi; Alessia Orlando; Salvatore Gaglio; Salvatore Vitabile (Expert Syst. Appl., 2024)

Hunting imaging biomarkers in pulmonary fibrosis: Benchmarks of the AIIB23 challenge. - Yang Nan 002; Xiaodan Xing; Shiyi Wang; Zeyu Tang 001; Federico N. Felder; Sheng Zhang 024; Roberta Eufrasia Ledda; Xiaoliu Ding; Ruiqi Yu; Weiping Liu; Feng Shi 001; Tianyang Sun; et al. (Medical Image Anal., 2024)

A Yolo-Based Model for Breast Cancer Detection in Mammograms. - Francesco Prinzi; Marco Insalaco; Alessia Orlando; Salvatore Gaglio; Salvatore Vitabile (Cogn. Comput., 2024)

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)

Using AI explainable models and handwriting/drawing tasks for psychological well-being. - Francesco Prinzi; Pietro Barbiero; Claudia Greco; Terry Amorese; Gennaro Cordasco; Pietro Liò; Salvatore Vitabile; Anna Esposito (Inf. Syst., 2025)